Transcript for:
Workshop on Bibliometrics

hello everyone uh good morning from florida but good evening good afternoon depending on whatever time zone you are in uh welcome to today's workshop uh we have uh an interesting panel of speakers that are going to help us with an emerging tool so we have two very interesting speakers we have dr ahmad mohammed from maldives national university an emerging tool so [Music] and then we also have with us dr visal musa from islamic university of maldives uh so before i get them on there's a couple of things very quickly if you want to join the conversation please make sure that you use the comment section on youtube that's what you can do so we can get some answers for your questions the second is if you're not subscribed to the channel you can subscribe to the channel because i always do these type of workshops for the benefit of a wider research community the third one and the last announcement very quickly is let me quickly show my screen and then show this okay all right so the third one is um i have already mentioned it several times in my emails and everything most of the workshops and everything that i do they are free for everybody to attend there's no charge nothing at all but obviously i need some support to continue doing this because of the cost and i have to hire some people to help me with some stuff so if you can support me and this is not um you know a big support but i created a page it's called buy me a coffee so you can support me through this platform you can simply just go to buy me a coffee slash research beast and you can support there but of course if you cannot do that that's completely fine no worries but if you do it i'll highly appreciate it and other researchers who take benefit of these type of initiatives would also appreciate this now uh let's get this out of the way let's bring uh first dr visal musa to the stream uh assalamu alaikum dr vishal and welcome thank you and then let's bring dr ahmad muhammad uh to the stream uh hello and assalamualaikum okay all right so now we have both our distinguished speakers um in into the stream very quickly today's stream is mainly about um bibliometric analysis which is an emerging tool i won't talk too much about that because our speakers are going to talk about that but i'll just say that it's an emerging tool and then more and more people are working on it because um of its importance in the field and its importance and literature reviews and stuff today's session will be more hands-on uh the focus being on how can we use this tool to write research papers so i am gonna stop here i'll get myself out of stream and then i'll hand over the streams to dr visal and dr ahmed whoever wants to share your screen please just share your screen and then we can add that to the stream so people can watch your screen okay yeah thank you uh very much uh profession for the uh kind introduction and also giving us this opportunity to share our knowledge with uh with an international audience through the research beast and i'll start uh i'll do the first part of today's workshop and my colleague dr vishal is going to do the second part of the uh workshop so in the first phase uh i will share my uh screen and after that dr vishal will uh share his screen so let me uh share my screen first uh yeah all right okay so uh is it visible look faison yes yes it's all good yes all right certain uh uh tonight uh from my in in uh maldives so now this is evening uh 7 p.m uh in the maldives time our local time and i greet everyone who is participating in this workshop and to today's workshop is title is using bibliometric analysis for writing a research paper in both of us uh we are going to facilitate this uh workshop for tonight's uh session and uh in the workshop we will try to cover these areas especially the definition and the concept of the bibliometrics and also the bibliometric uh data sources and after that after talking about these data sources we'll try to look into how to do searching and extracting uh bibliometric data from those sources so once we extracted the data we need to do the cleaning a data cleaning and unnecessary uh steps and then we move into the data analysis and the reporting of the bibliometric data but really uh a significantly we'll also look into the network visualization using uh was viewers so this is an open source software that we will use during tonight's session especially during the hands-on activities and after that finally we look into writing uh bibliometric paper and how we need to structure a good bibliometric paper so these are the things that we are going to cover during tonight's workshop and looking at the concept of bibliometric uh the bibliometric this term it has two parts one is about the uh biblio so this refers to book and the matrix refers to measurement and from this end we understand that uh we are going to talk about uh some measurements uh related to a published work because book itself is a published work so it's a published document so we are going to talk about uh um some measurements and these measurements in relation with uh published documents as we know that there are different uh metric studies uh it's not only the bibliometrics but we have the centrometrics we have the infometrics cyber metrics variable matrix almetrics all these different uh metric studies but we are not going to the details of the other different metric studies and we are going to look at the first one which is going to be uh focused on uh publications so which covers the bibliometrics covers the publications and also look into the citation analysis and the word of bibliometrics was coined this term this term was coined by uh ellen pricker in 1969 in the document uh published in the journal of uh documentation and from the google scholar when we searched this document we understand that this document has been cited more than 3 000 times so far and and nowadays this is going to be one of the very trending uh topic in the area of our publications although uh the bibliometric is from the library science area uh nowadays in the research we have been using this therefore we know that the application of bibliometrics in the research is really significant and important for us for the researchers as well as uh for the institutions not only the institutions but but also the uh but also the organizations even the universities and also the funding agencies so so let's look at what it is what is bibliometrics uh i have chosen four different definitions here the first one it talks about uh all studies which seek to quantify the process of written communication we know that we are talking about some published document published work and when we talk about the vp of matrix we understand that we try to measure something so when we try to measure it we are trying to quantify the process of this written communication in bibliometrics and also in the bbo matrix we use the quantitative treatment for the purpose of measuring the properties of those recorded documents and looking at the uh the third definition it says that it's an application of mathematical and statistical analysis to uh bibliography so we understand that we are talking about a mathematical a quantitative and statistical analysis related to the bibliography or bibliometric information are available in the documents so the final the final definition it gives a very comprehensive and clear idea and it's very uh simple and clear it says the statistical analysis of bibliographic data mainly in the scientific and also the technical literature so by looking at all these four different definitions we understand that there are commonalities the common terminologies uh or closely related terminologies uh in the definition of bibliometrics and which is all about using a quantitative uh quantitative analysis uh of the bibliographic data in the uh published literature sorry just one moment okay just one moment a few people actually said they can't see the slides clearly i just want to say that this this youtube plays by default 480p so if you can't see the slides clearly increase the resolution to maybe 720 or 1080 and you should be able to see it very clearly okay it's just your own internet strength it's not the problem with the slides all right thank you thank you very much okay so now uh the question is who is interested in bibliometrics i i'm very sure that those who are registered uh for this workshop and also those who are attending uh are very much interested in the people of matrix and learn about this um we understand that the governments and also the funding agencies they have an interest on this because the funding agencies they want to know what are the trending areas and what what are the trended areas uh in today's in the market or even within the research context and all these things whenever they want to uh fund for those research projects so that's one and institutions the universities uh they also have great interest especially uh when we talk about the benchmarking and also the recruiting and and so on and even the faculties within the uh universities uh we also want to do a lot of collaborations with our other international uh uh universities or institutions and also we want to have collaborative work with other other institutions so in that case uh the schools the faculties uh even the college they are much interested and even like individual researchers we are very much interested because we want to secure grants and also we uh try to publish these papers and this can be really accounted for our promotion and for attenua and all these things and even the librarians are uh very much interested especially those who provide research related services uh in the library they are interested in this and now uh before we move into the data sources i think we should talk about the application of bibliometrics and uh how we are going to apply this this uh the analysis the findings that we get from the bibometric analysis one is we try to identify what are the research trends and even what's the growth of knowledge in a specific field of study so which is going to be very helpful for our future research and also to identify the authorships and its trends in documents on various subjects and as i mentioned that uh we can uh using this bibliometric analysis we will be able to focus the future publishing trends not not only the future research trends or the growth of knowledge uh we are also going to focus the uh publishing trends as well and also to predict the productivity of the publishers and even individual researchers and we also we cannot predict the productivity of the universities and even the countries in different areas of research and we have a lot of applications but significantly i'm going to talk about some of these for example we will be able to identify the journals with the greatest impact in uh in a various research areas for example in the area of educational leadership what are the journals which having the greatest impact for example in the area of tourism and many uh hospitality area and what are the journals which having the greatest impact and also uh we try to identify the potential research collaboration opportunities because even individual researchers and the institutions we try to seek for a research collaboration and even this research collaboration comes in different and various ways when we talk about benchmarking and all these things so finally let me talk about to identify the areas of research strength and also the weakness that's also how we can apply the uh bibliometrics from this and now we need to look at the bibliometric indicators so these indicators are very important the bibliometric indicators because when we start with our new project when we start to write uh when we start to do our bibliometric analysis we need to formulate our research purpose our research objectives or what was the objective of doing this bibliometric uh analysis so in that case we try to uh identify all these indicators and we relate our objectives our research questions and all these things with the bibliometric indicators so bibliometric indicators are some metrics again so those are some measurements and are numerical measurements that provide quantitative information about the research performance and in that case uh here are some of the indicators for example the author the departments or institutions countries journals documents and even i mean the number of documents uh for example the subject areas and categories so these are some of the indicators that we are usually using bibliometric indicators from this uh point i think uh the participants would have a question what's the purpose of having uh these indicators and also from where we are able to identify uh these indicators let's look at this paper so this is a journal article published and from this one you will be able to identify what's the name of the journal and even the title is there so in the title uh there are very important words and for example if you want to uh look into the key concepts or the key uh the key terms or the key topics uh in that case those words are very important even even the uh the keywords mentioned in the abstract uh that's also uh very important of bibliometric information even the references at the end of the research paper and even the name of authors are there uh their affiliation is there the name of the country is there so all these uh this data are important for uh our analysis let's look at these two uh research papers and uh two papers published from uh published in the area of edu uh one is on the health care management area another one is all about the educational leadership and management area so looking at these research questions we are able to identify those important uh indicators for example in the first one the research question one it says about the growth of trend here they they are referring to the documents so the document is the key indicator used for this research question and for the research question too uh authors and also documents are two important indicators and likewise in each and every research question we used to have uh these indicators uh looking at the uh the next one this is upon this is about the educational leadership and management in referring to question number two it says what authors institutions journal articles emerged from regions that had greatest influence on educational leadership and management research over the past six decades so even in this question they use three different indicators one is the author another one is uh institutions and another one is the uh journal article so uh these are the uh these are the indicators and the the main important uh use of these indicators actually uh reflect in our research question so in our research objectives so i think now this is the time for us to look into uh the data sources for every analysis we need data and now the question is from where uh or we need to search for this data and where this data is available so this is going to be the next question that everyone uh would have uh there are a lot of databases and we know that these databases provide bibliometric uh information even the web of science even the web of science owned by the clarivate analytics they also provide the bibliometric data or information and when we look into the uh was so this is one of the source one of the source of bibliometric data and looking at this uh was and the core co-collection of the web of science we know that they have a social citation index social uh science citation austin humanities citation emergence of citations so these are categories where you can even uh filter more when you try to search for your information for example if you want to do a bibliometric analysis on a topic related to social science and arts or humanities then if you want to exclude the science citation index articles you can do that so you can focus on uh those three areas and when we try when when we do this uh data search we always try to use the inclusion and exclusion criteria uh even the uh inclusion and extra exclusion criteria that we use in the systematic literature review similarly we can apply that even in the uh bibliometric uh analysis as well very interestingly uh i would like to highlight the the coverage of wars uh looking at this uh information we understand that in worse the coverage is very excellent in the area of biochemistry or molecular biology or chemistry especially the science area and even the mathematics and engineering engineering sciences in those areas but the coverage is moderate oh it's little bit less in the area of social science or in political science or humanities or educational science area the the coverages are less compared with the science area so if you want to do for example if you want to do a bibliometric analysis on educational science related area or humanities related area this source of information the web of science may not be the best search engine that you have to use but in case of humanity is an educational sciences or in social science we may prefer to go the scopus because in scopus the coverage is larger compared with the was especially in the area of social science and humanities in that area so this is also one of the largest abstract and citation database owned by the elsivia and we use this uh database as well as one of the uh very important uh data source for our bibliometric analysis and when we look into the content of this corpus uh this is the very recent data i took from their website today and from here it shows that there are 80 more than 82 million documents in the scopus database and more than 1.7 billion cited references so all these are bibliometric information even the author profile when we look at that author profile there are 17 uh plus million author profiles and even uh the institutional profile 80 more than 80 000 more than 80 000 institutions so the scopus itself it has a very good coverage of bibliometric information and you can use this as another source of data for your analysis looking at the coverage as i mentioned that for example if you look at the uh life sciences compared with the life sciences the social science area is much larger and also uh the physical science and health science area there is a good coverage in these areas and even the now the numbers may be differ if you refer to the recent guide published in the website i think now it is even in the health science area it is uh we have 14 417 uh titles in this area and even in the area of social science even the number differs and now there are much more because this figure is not a very very recent one in that case there may be uh some differences if you compare with the more recent one available in the website uh when you do the or when we do the bibliometric analysis we need to understand the coverage of those the different databases we need to understand that coverage so that's that's very important for example if you want to do social science area especially uh education for example uh i'm very much interested in educational leadership and management in this area in that case i must pray for the scopus database instead of wave of science because of the coverage and the number of uh articles available in the uh database as well uh another bibliometric data source is the dimension this is uh this is one of the open source uh database so this is a free one unlike the other two because uh usually if you want to do the document search then we have to subscribe these corpus and was from uh from our institution site but this is a free one dimension you can go to dimension and you can use a dimension as well as a data source and another one is even the pubmed especially those who are doing medicine related research and studies you can use this database as well and the google scholar is also another uh database but for the purpose of for the purpose of bibliometric analysis there are a lot of limitations in the google scholar uh so usually i don't prefer to uh go for bibliometric uh data a search from the google scholar because there are some limitations and one of the limitations is about the uh the articles or the documents index in the google scholar in terms of the quality quality assurance i think we must be a little bit uh cautious when we uh use the data from the google scholar so i don't prefer to go for google scholar but the web of science and the scope is a very good data sources and even if if we want to get some information related to the journals uh we can use uh the simago journal and even the country ranking this is our website this is also one of the uh one of the uh source that we can use other than those databases that i mentioned just now and uh but faizan how's everything going so far because i don't see the chat i don't see the questions those things because i i'm using the full screen i actually didn't want to stop you there are quite a few questions and if you want we can take some questions now because people are asking questions i just thought maybe we should wait until like a logical break in the middle okay i think we can spend some time uh after my part and we can take those questions sure yeah yeah no problem no that's interesting yeah let's go into the uh bibliometric data uh searching and extracting and uh we need to do some hands-on activities on this area and this is a very important phase because even in every research we have a data collection phase so this is the face and in the data collection we must use uh really good procedures and we need to ensure that the data that we collect are valid enough for us to i use in our analysis otherwise again uh people may question about our analysis and our findings so in that case we must be very cautious when we do this part of the bibliometric analysis this is all about the uh data collection phase and uh i ben i just mentioned we need to do oh we need to use a good search techniques for example even if we uh collect data for our studies uh our other research studies not the bibliometric for example if you use a questionnaire or if you use the interview and all these things in our usual research studies even in that case we as researchers we must use the most appropriate techniques the data collection techniques in those studies as well so very similarly even in bibliometric studies or even if you are going to do uh the systematic literature review even in that case we need to use these techniques such as booleans use of quotation marks use of parentheses use of wild cards truncations are very important so we need to use these operators when we do the search for example looking at the uh boolean the one of the technique here uh in this case we have end oh and not for example if we look into assessment end achievement then our search will be very different if we use o like assessment or achievement then we get a more larger uh search result and even assessment we we only want the assessment and not the achievement then we can exclude papers uh we we can only include those papers uh talking about the assessment not the achievement then this boolean is important so that's an uh one and even for example if you talk about the inclusive education the inclusive education itself is one terminology if you want to search for inclusive education we need to use a quotation mark so it must be within the quotation mark if if we don't use the quotation mark then we will get the papers either talking about the inclusive or papers either talking about the x education and then our search result will be too broad and there will be a lot of unrelated uh papers in our search result uh similarly like assessment for learning or instructional leadership if there are two words or three words in your terminology or the term that you want to use then we have to or you have to use the quotation mark and also the parenthesis is also important uh using these brackets and all these things and uh even the use of wild cards for example we have different spelling for organization uk in the british english and the american english we have two different spelling like s and z in that case if you want to include the uh the word having s and also the word uh having z in that case instead of the s and z we can use like for example a question mark in some cases uh there are uh i'm just introducing three different a wild cards here the question mark and the dollar sign and also the asterisk you can use that and the truncation is another one that you can use for example if you want to if you want to include like performer performance performance all these things and then we can uh write perform and the strict there then the remaining part of the word will be included and uh we can we will be able to uh include those papers talking about the performer perform mean performance or these things one other example is about the computer computers uh computerization these things so now i think this is the time for us to go for uh live demonstration and unfortunately unfortunately in our institution uh i don't have the uh scopus uh i mean we don't have the scopus subscription and therefore i will not be able to go into the lives of a demo of the scopus but i will do the live demo of the dimensions then i will also try to uh uh demonstrate some not a live demonstration but i'll try i will show you how to extract data from scopus as well so let's start with this one first and uh let's go to the dimension okay this one so this is the database for example let's write this tribute head leadership okay now this is the live uh demo that i want to show you uh how is going to be the search result let's uh select title and abstract and then because i'm not using i'm not using the quotation mark at the moment let's see what is the uh the result it's 3786 so let let me use let because now the paper is talking about distributed will be there people talking about even the leadership will be there but let me narrow down and try to make it more focused and in that case uh let me use the quotation mark here and now see about how it reduced the search result reduced to half of that the initial uh result now it is hundred and seventy four and even when we talk about the distributed leadership because usually uh we are very familiar with our area of interest and in that case if you're very uh familiar with the content area that you are searching then you will be able to identify what are the other key terms that we must include in our uh search for example in this case let us use one other boolean for example we want to include we want to include uh shared leadership so i want to put n here and shared leadership is synonymously used for distributed leadership by some authors so here so now i want the articles having both distributed leadership and shared leadership in the title of the paper and also in the abstract of the paper so now let's look at the search result i think uh there is an issue shared leadership sorry okay now there are 35 applications because these 35 publications will have 35 publications are talking both about the uh distributed and shared leadership for example if we change this boolean to all instead of uh instead of uh and because in my search if if i use end it is again not going to be the appropriate sense for this bibliometric analysis because if we use end it's very much narrowed down and since this term is synonymously used some of the people they may use shared and other authors uh may use distribute leadership so we must use o instead of end in this case so now look at the number of documents see the number of documents are now 12 301. so this is the this is the importance of using uh good search strategies in your uh data data search for bibliometric studies and now let's look at here even in on the other side here the left side of the database we have the field filter ration of field options for example you can uh include like uh for example uh the fi last five years from 2016 to 2020 then you can leave it then even these are some of the inclusion criterias you can use for example if you want to limit to publication type to only the journal articles you can limit to only journal articles you don't want to include the preprints monograph and the proceedings if you don't won't do that you can uh in this one you need to note down and you need to explain all the search strategies that you use and even finally the search string that you use and even the uh the filteration how you limit your search so all these things you need to uh so now i have 819 publications here documents and now want to uh export this so in that case you have the export option here you can uh why i'm not getting the export option here because i have not login so let me login now and if you log in to the uh if you log into the uh database then you have this option the export option i think [Music] okay let me keep this one and uh because the time flies so let's go to the uh the next one this is about the uh better extraction from scopus and in scopus you have when you look into the scopus you have different search areas for example document search author search affiliation an advanced search and from here from the document search you have the options you have the option to choose the boolean as well whether you want to choose and or and not and also you can limit your search area whether you want to include the title keyword abstract and keywords then you have to use that and also you have the function of keeping the limits for example you want to limit to the last 10 years or last 30 years like three decades you can do that and even whether you want to limit to only the journal articles that option is also there so you that is this is the responsibility of the researcher to make your own search query so you have to make a good search query for your big metric analysis okay when i use the distributed leadership and shared leadership and it was from 1960 to 2020 there were 108 1874 documents in the search result but uh i want to use some of the search filters and for example the document type i want to include only the papers published in english language then you can use some of these uh search filters so search filters will be appeared on the website and you can choose for example if you want to select the subject area you can limit your search to that in my case i use the uh articles and review and the uh conference papers and also i limit my search to english language only so english language papers now the search result is like a thousand five hundred and ninety uh okay so this is my uh my search query is here my search sorry the search string is here and this search string is very important for you to save because you need to provide this search string in your paper so when when we talk about writing a paper research paper using bibliometrics you need to have this search string with you and after that we need to export this data and when you click the export you get this so from here you have to choose the method of export for uh in case uh where you want to use uh the software like kavos viewer you have to use a csv file here and you need to click the citation information and you can include the bibliometric information abstract and keywords but this is not necessary for example funding details it is not necessary but it is important to include like uh include the references this one okay then we export our data file so now this is how you will get the data file in the csv format okay so i have taken now more than enough time so now let me try to start with the bibliometric analysis and i'll try to address two questions and after that i'll hand over the floor to uh dr uh wisher okay before that let me try with the uh first research question okay in my a paper or the the paper that we are going to use in today for example in this session i'm just taking two uh examples from publish research or uh going to uh use uh the data file that i extracted just now for example from the scopus one so i saved that one earlier and i have that scopus 5 with me and i'll look at that one so the sample research question number one is here it talks about what is the volume and document citation by time of distributed leadership research from this time range 1967 or 1960 to 2020 okay let me uh go into the live okay excel file sorry okay this is the uh this is the data file that i extracted from i extracted from the database and it is very important for you to uh it is very important for you to clean this data okay it is very important for you to clean this data and for data cleaning you should look into this column for example the year column if there's any wrong we enter data wrongly enter data here then you have to clean this data file so data cleaning is the first step that you have to use or you have to do before uh starting the data analysis part i i'll show you the data cleaning at the end of the session for example so let me start with the analysis part first okay so that the first research question was uh it talks about uh the volume and the distribution of the documents or research in the area of education in the area of distributed leadership in the area of distributed leadership in that case we should go here and take the year column so this is my data file from this one i'm taking the year column and for the first research question i'm putting this column here but actually even if it shows like uh to uh then the year every year or every cell in this one represents the number of documents because this is the num the document published in 2009 this is the document published in 2002 and 2007 like that so let me name it like number of uh documents okay number of documents and also for the purpose of uh for the purpose of this study i want to include the citations okay for the purpose of this analysis i want to include the citation so i'm taking the l column from here decided by this one so this paper published in 2009 is cited thousand six hundred and uh so thousand sixty eight so thousand sixty eight times so i'm taking this column as well okay and now i want to check the number of number of years published what was the range or what's the time period so that i can use uh the num that the years in in a sequence so in that case let me let me check the starting here and also the end here so we can filter we can do the uh custom uh filteration okay so i'm going to uh sorry we can now we can sort this one for example let me sort this one to check the largest too small okay so we have uh 2000 2002 what's going to be the last date thousand uh so 1967 so 1967 to 2020 we have the year so let me write 1967 1968 and it must go till it must go till 2000 20 okay i have put this formula here to check the number of publications to check the number of publication in each year so count if whether how many publications are published in the year of 1967 and similarly uh looking at the last year 2020 how many publications were published like 222 papers are published so this column is important because i use the uh formula to generate this data uh or this result sorry not the data to generate this result and also to check the total citations received in each and every year i use another formula like sum if and i'm going to check how many uh how many citations were received on 1967. similarly uh looking at oh looking at all other years we know that the number of citations are very different in different different uh years so let us go into uh visualize this one using a bar chart so in that case what you can do is you can take these two columns so one column is the year column another one is the number of publications and for that purpose i'm going to use the bar chart here and here is the one here is the one you can use this and you can uh level the x6 uh the the x-axis as the year and and for example you can label the y-axis as well so you can number of publications so but this one is very simple but this one shows the volume of the publication uh if you want to include the next data the citation that i took from the the data file because i want to include that one as well in that case you can draw another graph instead of this graph you can draw another graph okay so let me keep this one aside and i'm going to draw another graph including the total citations then you can use both the bug graph and the line graph because the line graph over the bar graph then it's going to be more comprehensive then that case uh go to the more charts and we go to the combo and we want to include the number of publications as well so now the number of publications are in blue color and the total citations in the orange color so now you can label again the uh the x axis and the in this case you can put the year and so both vertical and horizontal axis you can label so primary vertical in this case this is the total uh citations okay and [Music] this one is the secondary axis you can include like you can include the number of documents published okay and then now you need to do these interpretations you need to describe your graph you need to do the interpretations and from this interpretation we understand that now this is the one for example uh from this one we understand that the number of uh papers uh increase in year by year and although there was a little bit full in 2017 again uh the publication it has a good trend and looking at the number of papers number of citations received for those papers published in specific years for example the papers published in 2009 received the highest number of citations but as you know that as you know that from this one for example the papers are recently recently published papers might receive less number of citations because of the short time period then in that case it is always necessary to include one more uh line graph here and you can show the normalized uh uh result for example the normalized average citation per article for example this is one uh analysis or the result that i used in one of my paper and in in this case i found that even the number of citations received or the number of even the publications in the uh for example in the uh the last one or two years are less and in that case we can uh do the normalization and we we need to do that we need to do the normalization uh let's move into the uh second uh question i'll take about three minutes to complete this one uh i'm sure that dr richard is waiting for his turn the next one is which are the countries that contributed most to the knowledge base of distributed leadership between 1967 to 2020 for example if you take this research question we can go back to the our data file and in this data file let me okay so in this data file actually i uh uh extracted data from this raw data but using the was viewer software so this is how i uh let me show you that file okay this one so this is how you see that file and i took the country country and also i took the document these two rows and after that i ordered this one according to the number of documents uh the number of documents so united states are published 552 in the united kingdom and so on so there are a lot a lot of countries but in our paper we may be interested to include only the top 15 countries that contributed most then in that case we can select uh these the top 15 countries or like top 20 countries then we can draw the uh graphs for example you can draw this graph and you can label the uh x's and uh y-axis as well or the horizontal and the vertical axis you cannot label so it shows the number of documents are published by or contributed by the different uh countries and also if you want to include for example if you want to include a world map showing the distribution of these publications then you can also go here and you can draw another type of graph and you can present in your paper and if you want to label this one for example we have the highest number united states and in that case you can also do the labeling as well so you can do the labeling you can label this one for example you want to include the data label so it shows like uh 552 united states and even australia 140 and even there are other softwares that you can use to draw these maps okay i think that's all from my side for the time being and i'm sure that dr vishal is waiting for his turn he has to do a lot of analysis uh he has to do a lot of demonstrations as well uh dr faizon yes thank you thank you very much dr ahmad so do you think we can take a few questions because there are quite a lot of questions coming through yeah yeah okay yeah before we go into the questions i again want to thank uh you dr ahmed and dr vishal uh plus also all the participants i just wanted to ask where are people from and i got a lot of comments from many many different places so thank you for joining and i know in some countries it's pretty late right now so thank you again for joining okay let's go there are a few questions about the importance of bibliometric analysis so for instance um there's a question like this uh okay let's say this one see so it says kindly please talk about how to write the utility and implications of bibliometric analysis i'll flash a few other questions similar questions so then you can answer them all together right because it's the same thing um then the other question was this one from dr muslim i mean how to develop the research question for the study what are criterias for developing it and stuff like this so there's a couple of others but maybe we can i'll start with answering these yeah you very much the first one is about the implication of the bibliometric studies uh i mentioned that about the application of the bibliometric studies and uh when i talk about the application of the uh these studies i mentioned that we try to focus the future trends of research in the specific domain of or in the specific field so definitely you you have to include you have to include the future research area in this one and also you can recommend other researchers to focus their uh research on some specific areas as well and in terms of research collaborations for example uh for example if the research collaboration is a few among the asian countries then we can recommend the universities in the asian countries to do more collaborations if you want to uh be visible in the in the publication area and those things so there are a lot of implications that we uh we can mention there and regarding the research questions how to develop the research questions i usually when we uh formulate the research questions we we try to achieve the main purpose of doing this bibliometric and while formulating the research question we refer to the uh the important uh the indicators uh of the bibliometric so we can refer for example if you want to identify if you want to identify the knowledge base or what are the key concepts in this specific field then you can use the bibliometric indicator such as keyword so you can go for keyword analysis and do that thank you all right thank you uh dr ahmed let's go to another question from daniel olsen it says i would like to know how to not just bibliometric analysis to focus on publication in journals but how to include books and books chapter and analysis yeah you you can uh i showed you the uh i you showed the filtration area even in the scopus uh you can click there or you can unclick there if you want to include the book chapters you can uh click so i think we can also demonstrate that one i already i showed that one you can include the books or book chapters or the journal articles from the left side of the scopus database and then you can include if you wanted quote sure but this wouldn't include only those books and book chapters that are indexed in scopus right because we are focusing on scopus okay um the similar question uh about google scholar uh can we use google scholar data for bubble metric analysis uh uh personally uh i don't recommend to use the google scholar because some of the uh documents published in the google scholar can be questioned in terms of the quality assurance so i don't recommend to use google scholar but instead it's always better to go for more rigorous databases okay yeah it makes sense it makes sense um another question is from sajib is pico needed in searching how it is done uh i think the uh the pico is very important for formulating the research questions and uh those things so for the search it is always try to use the uh best or the uh the excellent search strategies and try to include everything uh i mean include all the important aspects in your search and also the inclusion and exclusion for that one you can use the prisma model you can use prisma that's uh not an issue and we recommend to use the prisma for the search area yeah i i want to add here actually prisma is becoming more or less like a standard now if you are doing anything with literature reviews more and more reviewers are asking for it now in fact even if somebody is writing a funded research grant even there it's asked to somehow related to prisma if you are using literature review based uh stuff all right um there's another question from kiran i say how do we merge web of science and scopus file for bibliometric analysis um uh frankly uh so far i have not merged the uh the worst file in the scopus file because for example if you uh if if we want to use the data file that we extract from web of science we need to keep it in the form of text file but uh the file that we extract from the scopus it must be in the form of csv file and even the uh even uh i think when you look into the uh the next part you'll get much more better understanding there are cases where we we cannot merge and always in all these analysis we have the limitation and we need to we need to mention those limitations for example if we use the scopus uh database only we need to mention that because it's a limitation and we should include those limitations in our paper and uh there may be some other ways where we can emerge but so far i have not practically merged from those two databases i want to ask you something very quickly dr ahmed so most of the journals that are indexed in web of science right those those journals that are in web of science they are mostly 95 percent also indexed in scopus right yeah so i did a research where i first extracted same journals i expected data from web of science and then scopus and the results were different quite different i was a bit shocked i was a bit surprised because i thought those journals that are in web of science also are in scopus so normally those results should be similar but there were a lot of missing documents and i didn't know why i just thought maybe it's indexing issue or something but we need to explore that one more yeah yes a surprise to that anyways i'll ask you a few maybe three or four more questions and then we can go to dr wesson right um okay so another question is about this one and this many people talk about this that's the result of bibliometric analysis gives us numbers only and we don't need to know what is inside research papers that fall under the study uh definitely uh the bibliometric analysis is a bit different from the systematic literature review in the systematic literature review we have to go in depth and we have to go through the content of the uh of the articles but in nowadays when you look at some of the bibliometric papers you may uh be able to identify that some of the papers they include for example uh the methodology used in uh different papers uh based on the bibliometric analysis so sometimes they uh they read the uh the abstract part sometimes but uh that is true uh usually we we don't go into the uh inside of the paper and uh exactly the bibliometric analysis is something related with the numbers it's more quantitative and it's uh more of statistical one yeah i think you answered it very good uh for those who are watching it's important to understand the types of literature review that are available so this because the data is extracted from databases and it's only the bibliometric of metadata that is provided through databases which includes only numbers and at most you can what you can do is just look at probably uh the co-author networks or that type of stuff but not really what is inside the paper i think one topic one area where people can actually look into what's in the paper to some extent is abstracts that you mentioned and there are many many papers that are looking at topical modeling from within the abstract or keywords but not really what's inside the paper right okay perfect so um there's another one here there are two parts of this question from muhammad should the researcher apply exclusion criteria before starting to analyze the data um or she or he needs to start screening the title abstract then full text so that they ensure capturing the right documents uh you need to apply the uh explosion criteria when you do the search so that's one i i don't see that question now out of what's the at the party it's just yeah i just i just clicked on it twice okay so uh yeah during the during the search you need to do that or need to start screening the title abstract then full text just now even now we mentioned that we are looking at the bibliometric information available for example even in the title it's there even the keywords for example those things but we don't really look into the full text the context but we need the reference section because it's very important when we talk about uh other different energies i'm sure that dr vishal will mention those things in his part the other part of this question is this one my experience with extracting documents was that these databases usually bring documents not related to a topic of interest yes sometimes uh this happens because of our uh data search the keywords that we use uh in that case uh if it is uh mentioned in the abstract that article might be extracted and for example if it is not if for example is totally out of the scope uh sometimes you may uh check the titles of the papers and we need to do some sort of data cleaning if it is there if it problem arise all right our last question for you dr ahmad is from spain uh i would like to know is it important to compare our results with other databases or other studies related to mine especially thank you uh we don't have to compare that we have to mention in our paper because our search is based on the scopus database or is based on the web of science and we need to mention the limitations of this paper that's enough you don't have to do the comparison but for example if you are interested to do some sort of comparison it's now very different for doing for different purpose okay thank you okay perfect um uh while we are going to invite dr visal into the stream i want to ask you this uh doctor ahmed you know several times these days unfortunately the way researchers are brought up many people are looking at exact answers like 2 plus 2 is equal to 4 right so it's all the time you may look at questions like what is the same what is the acceptable sample size for this how many items do we need in the question you know really absolute answers so for this database search or something and there's a question that often comes and that is which one is the best database to go with uh you know you may have heard of this question many times the best date i guess yes it depends if it depends for example uh if it is the social science area especially the educational area then we prefer to go for this corpus for example if it is the medicine area maybe the pubmed is going to be the best one for their search so it depends on the areas of research sure so i think what you are saying is that as researchers especially young researchers who want to do this need to understand your own discipline very well right which databases are the best databases for your discipline perfect so um all right let's uh now we can invite dr vishal um into the stream so that we can have him continue with the session dr visal all right uh thank you dr faizan uh and dr ahmed as well first of all let me say good evening from maldives uh and i'm very happy and uh honored to be invited by dr faison into uh this platform um uh dr faizan uh am i audible yes yes perfectly fine thank you and let me also try to try and see if i can share my screen now is my screen visible to you now yes all right perfect thank you okay so um uh i will have to try to squeeze in uh my content tonight um so basically uh i would once again like to thank dr ahmad because you have made my work very easy you've came all the way from the very basics and um in fact covered are some of the sample research questions that we want to demonstrate to our participants tonight and yes here i am with uh from where you stopped with research question three dr ahmed demonstrated uh how to do uh analysis uh with respect to a total number of publications and citations and also with respect to contributions from various countries now here i want to discuss about a particular research question which is uh going to do some journal metric analysis my uh sharing is actually based on my work like ahmad spoke about his work his own publication so you may uh i mean just to avoid confusions like uh i am going to talk only about a paper which i have published so my question as you can see is coming from a different background so the question reads like i want to find out the top uh journals which is published the 100 most cited articles on workplace learning so i'm looking at my own work workplace learning and what are their characteristics so i'm going to do a journal analysis what are the top journals and where do they come from what are the characteristics and all those things and in order to do that the data that we need for this part of this data is already in the data file now drama demonstrated to you all of you how you can uh actually download a bibliometric data file from uh from dimension and he also with the help of slides uh showed all of us to how to download uh the bibliometric data file from scopes so in that scopus data file itself you will have a lot of information about the journals as well so let me uh actually my part is less of slides and more of like demonstrations so let me try to escape my presentation and then yes this is how the data file looks like as you've already as you're already familiar with so in the data file one of the fields is this source field called source titles i can you see my data file uh dr ahmad yes okay fine perfect so as you can see the source titles are where the journal uh titles are the name of the journals are and then so all that i'm going to do is i'm going to actually uh count how many uh well before that let me show you this one this is what i'm going to arrive at actually now once once i'm done with my analysis i want to come up with something like this actually this is what i came up with in my in my paper so i have the list of journals the topmost journals which is published are the most cited articles in in that particular field so i have six columns i have the total publications which means the number of documents published in this particular journal and which is from my own data file okay it doesn't mean that these are the number of public all the publications published in that particular uh journal but these are the publications published in that journal which are included in my data file okay so total publications i have total citations i have cpp that means simply the average citation per paper and then i have some other matrices as well now the first met the the information the data in the first three column this data is purely coming from the the data file that we download from either scopus for whatever database that we use so i'm going to show you how i get these figures okay where the total publication comes and where the total citations comes and all that so i go to my data file so i use a kind of field duration here i can sort this one and as you can see for example now this this belongs to one particular journal now each of this entry is a publication so now if you sort this you get all the journals here and you can count how many as as i can see it's 17 now so i can see uh now that simply means that in the journal of academic medicine 17 publications have been uh published okay but this data file which i'm demonstrating you is not the data file from which i produced the table so please keep that in mind okay uh but i'm just showing you where the data is coming from so one piece of data is coming from this field called the source text size source title field you can simply sort it and then count it and the other piece of data so from this field actually you're getting two piece of information you get the journal name you also can count uh the number of publications because each row is a public by this particular journal you can actually count all of them calculate all of them from the citations column now i'm showing you i've showed you a very manual way of doing this and of course there are easier and some automatic ways of doing this as well and in order to do that you have to use was viewer you know in in a while i'm going to show you how to use was view well now if you use was viewer whatsoever will do this calculation for you okay and this right now the file i'm showing you now is the file generated by was viewer the csv file which we can export from verse view as you can see i have all the journal names here though they are not repeated because was viva has done the um i'm counting for me already so i have the journal names here i have the number of documents here already so i don't have to count them so i can see from computers and education i have 17 documents again i must tell you that these are i'm working with two different data files so the num the name of the journals and the numbers may be different okay um and also you can see the number of citations as well so if you use once viewer and export the csv file from worst viewer their work is easy if you're if you're familiar with very familiar with excel you can use uh i mean wonderful formulas to do all the counting if and all those things to generate these numbers yourself without using what's really as well okay so i think i've shown you where i got the journal names where i got the number of publications and where i got the number of citations and the next column which i showed just now cpp is just a manual calculation it's just total citation divided by tp total publications to get average number of publications um for that particular journal and then i will also show you when where i got this side score snip and sjr now these are all general matrices which which we cannot actually get from the bibliometer data file that we usually now download you base if you if you're talking about scopus database you can just go to scopus i will show you scopus data website scopus website and i think as many of you know in order to actually download the limited data file you need to have subscription um um to scopus but in order to do this one you don't have to have the subscription okay in order to access to what i'm showing you right now you don't need any subscription just go to scopus website you just click sources here and this will populate the list of all the journals list uh indexed under scopus now you scroll down a little bit you see the name of the journals here and you see this is where the sites come from comes from you see it's 461 for this particular journal now in order to get the details for any particular journal you can write the name of that particular journal choose this one is the title choose title here and then write the journal title the name of the journal here you will get that specific information here so you this is where you get the site score from and if you click this particular arrow on the right hand side you will you will get the other details as well you see the snip score is there the sjr score is also there so this is where i got the data from okay and then i compile everything put it in one beautiful table and present it in my in my paper okay uh now um uh let me go back to my table again there is another piece of information in this table is uh like in apart from the sjr score that is the key ranking as well we call it q1 q2 and q up to q4 now where did i get this information from this information is coming from um this website from simago i don't know different people may pronounce it differently but let me call it now a sima goje journal ranking website so this is the website um you can just go to that website i will demonstrate i will show you here where uh on my screen this is the website of asimogojr if you want to find out about any particular journal you can just type the name of the journal um the list will get populated and you can just choose it now if it is indexed in scope usually the journals in destiny scopus will be demos will be shown in sjr website maybe there may be some time delay uh for the journals to come up in sjr website but usually you should come uh although with some delay at times so now this is showing for the journal of teaching and teacher education if you just scroll down scroll down um of course you see many other information is well i think the page is getting loaded okay so let me be a bit patient here okay going going down slow as you can see this journal has been there for quite a long time uh now i want to show you this this one at the bottom yeah at the bottom of not at the bottom i mean halfway between the page you see this is where the keyword can come from of course on top also we have the key ranking for the various fields now but this is the best curriculum for the particular journal and this is where i got the q1 or q2 or q3 whatever information uh that i uh have included in my table all right so i think i've explained to you um this uh where i got the data from and now because we don't have time actually we haven't uh we cannot go into the conceptual explanation of what site scope is what snip is what sjr is but these are just journal matrices used by uh different databases but this is specifically from scopus okay you can go to scopus website they will give very beautiful explanations of how what is this and how this is calculated and all that okay but these are just matrices used to assess and evaluate journals okay i think that's what i can say for now uh just in the interest of time and and to cover uh whatever we have uh left for you okay so i think that's about research question three and i've tried to show you how we can actually answer a question which is asked about uh i mean asking about journals okay and i think i have demonstrated to you how we can use journal mattresses to answer such a research question and of course in relation to a question that was asked just now i mean before i came into screen um i think of course the analysis uh and the results are usually numbers and graphs and these sort of things but of course in the discussions you will have a lot of meaning into it it's not only the table after the table you have the interpretation of the table and you have the discussion of whatever results you've got you also discuss it in relation to other published papers and well so it's not just a table okay if you read a bibliographic paper you will get to know there are many things that you can say in relation to the results that you obtain okay i think now we have come to the one of the most interesting parts of this particular uh webinar now we're going to talk about bibliometric network uh analysis okay um so far we have been playing with excel and maybe you some of you may make it very bold play with those graphs and numbers and all that now but okay but now of course you have a beautiful map to look at now we call it a bibliometric network and this is basically how how a network may look like very complicated right pieces of doors and lines and you wonder what what is going on behind this uh on this network but to make it very simple this is all about a network a network has only two elements two basic elements the nodes represented in the form of a circle or ovals okay or sometimes it can be displayed as rectangles as well and then uh we have uh uh the nodes actually represent entities or units it can be authors it can be documents it can be institutions and so on and so forth and then the other component in a network is the lines they are called the edges okay or the links they show the relationship between any two entities any two units in your network so this is simple so this is how i mean this is the basic under the fundamentals of a network so you have two pieces the nodes represent some unit of analysis it can be auto or something and the edges shows the kind of relationship or the strength of relationship uh i mean if you go i'm going to go live into whatever in a while now if you have a if you have a thicker line that will indicate a stronger relationship and vice versa okay all right so so how can we actually generate the kind of map that i've shown you uh i mean two slides back well there are a lot of lot of lot of uh software's available on the market uh which you can use to generate bibliometric networks like that and this is uh in this actually slide it's a very i mean few uh number of uh softwares that we have listed there there are many more available and out of all those verse viewer is uh one of the i mean of course for us for us for me one of the i mean best software because it's best because it's freely available and uh you all of you anybody can access to it you can go to the website www.com download the software use it freely for academic purpose okay so in this session we are only going to demonstrate how you can use verse viewer to come up with bibliometric network analysis with beautiful networks like this okay verstriva supports uh data from uh a variety of uh data sources dr ahmed has already explained to you where you can get data from you told about a web of science he told about scopus pubmed dimensions and so on so forth so once we actually supports data for many different data bases okay and of course we are not going to demonstrate everything we are only going to demonstrate how to use data from scopus because that's the data file we are going to use tonight all right now this uh slide shows you the different types of networks which uh what we were can currently uh do for us okay what's we can generate a citation network a co-authorship network a co-citation network bibliographic coupler network and co-access network i'm going to tell you what these are before i actually go into the live demonstration all right so citation uh a citation network will simply uh show who are been cited and who has cited who and this kind of things or if you if it is based on documents which document is cited which are the documents and so and so forth a co-occurrence network uh particularly accordance of keyword network usually we use keywords for co-occurrence we'll demonstrate you which keywords uh have actually uh been co-occurred i mean co-occurred means two keywords occurring together okay so which of the which keywords have occurred like this mostly in in the given field and what other kind of relationship within these uh i mean influential keywords uh the co-authorship uh network will uh show you which are the uh who are the authors uh who who have actually collaborated okay ventured into collaborations uh in the production of uh publications in in in the given field so in the form of network it will show you the the collaborative relationship between authors now it can be done based on institutions it can be done based on countries as well so authorship will show you will demonstrate you the kind of collaboration that is happening between authors or between institutions or countries and then the co-citation um is like this now if you have uh two uh publications a and b and there is a third publication c which uh has cited both a and b then we say a and b have been co-cited once because it's cited by publication c and now when it is also cited by d now we have we can say that a and b has a co-citation of strength two and then when it's cited by publication e it increases to co citation strength of three and it goes on like this that's co-citation okay a public a third publication is co-citing meaning citing together another pair of uh publications okay and then bibliographic coupling is all about the reference list okay now you have a publication a you have a publication b and in publication a's reference list we can see publication c been referred to in the reference list okay we can also see the same publication reference in the reference list of publication b now if this happens we can say that a and b are bibliographically coupled simply because they have the same reference in the refresh list same reference reference c it they also have the same reference reference d they also have the same reference reference e so now we can say a and b have a bibliographic cutting strength of three because simply because they have three common references in the reference list okay so that is the concept of bibliographic coupling now okay now we're talking about bibliographic networks now what other kind of research questions we can actually for which to uh uh we can actually use the network analysis let's look at this one an interesting question what is the intellectual structure of knowledge based on workplace learning a huge question a huge question so it intellects here can be the authors it can be the documents or it can be the journals you just you can you're just going to analyze how they are related to each other okay what kind of different themes can be actually generated from uh this particular network in order to answer this question in my opinion there are different analysis that we can use we can use either a citation network we can use a co citation network we may also use a bibliographic coupling network because all of those will uh show us uh the kind of relationship that is occurring within the demand of a workplace learning in order for the for the purpose of demonstration i'm going to show you how to do a core citation network okay now so the result will be something like this okay now this is the end product now let me show you the process now let me show you my desktop um i have bosch we were installed here this is a very small simple software you just downloaded from the was from the website was favor.com now i've already opened the uh was free and done the analysis okay but when you open the washer for the first time it will just be a blank sheet a blank a white sheet so uh but anyway because i've done it before you can see the map now let's uh let me demonstrate how to begin so once the wash wave is open you see the blank sheet here you just go to create from the left hand side go to create and then choose the second option create a map based on bibliographic data now i'm showing you this option because of the way that we are going to do the analysis uh this is the case you you will use when you have downloaded that bibliograph bibliometric data file from a database okay so you will choose the second option of course there are other ways by which you can do the analysis and therefore you have other options as well we are not going to venture into those now so you choose the second option create a map based on bibliographic data and then go ahead okay go to next from the next screen you choose the uh you choose the first one read data from bibliographic data files because we have the data file with us already so we're asking also able to read the data from that specific file and then go to next now here uh on top you can see uh several tips not several tips a few tips actually as you can see we have the web of science we have scopus we have dimension we have pubmed we also have cross ref but it can be accessed in another i mean another route okay so because we have a scopus data file i will have to choose corpus from this the second tab okay the scopus ted and then browse from me to locate your file okay this is i mean just a very normal thing for any person using computer you just locate your file from where wherever you store it okay just load the file i in my case i have already loaded it so i will not do it again so it's already loaded i click next now in your case if you load in the file for the first time it will take some time for westview to to come up to this screen but because i have preloaded it um uh i has taken me immediately to the next screen and that's why actually i i've pre-ordered it to save time okay now i said i'm going to do a co-citation network now we're going to answer research question called what is the intellectual structure of knowledge okay and in order to answer that a possible network analysis is co-citation analysis as you can see there are other analysis which i've already explained from my in my slides these are the other analysis that we can use now from all of these i will choose co-citation okay and the counting method i will leave it at default as full counting because this is another and entirely another topic in in bibliometric analysis and we kind of talk about it now so in order to avoid confusions i will just leave it at default okay leave it at full counted method but the the other thing on the right hand side is important you need to choose the unit unit for analysis there are three options available for you you can either use cited references okay these are the differences in the documents okay and then uh the cited sources these are the journals or the books for the book chapters okay i mean from where these publications are coming from these are the sources and then cited authors of course these are the uh the authors um that either appear in the documents or are they appear in the reference list of i mean that are there in your data file all right now we go next so we have chosen uh score citation and then uh from the unit of analysis we chose cited authors why it has taken so long now i did it before to save time okay anyway all right now now we have see we have come up with this uh screen here we you can choose various parameters now there is no hard and fast rule of for example now if i read this is very small i will read it for you minimum number of citations of an author this is set as 20 this just means that if an author has less than 20 citations they will not be included in the site in this analysis okay now there is no rule to say it should be 20 or 30 or 50 or 10 or whatever it's up to the researcher and also now in order for you to actually make a decision you can look at this number here now when you set the parameter like this now the line it just at the bottom i mean just below that reads that there are 587 authors who meet this particular criteria i think 500 587 is a good number to be displayed in a network now if you feel that this is too much you can just increase this threshold and you will see that the number is coming down if you think that's just fine just leave it as 20. if you see that if it's too less just lower this threshold you will and see if you get more number of authors here a bigger number here okay it's up to the researcher but you have to report this that's what is important you have to report what you have done maybe at the bottom of a particular figure or table that you that you put in the in your um in your article okay anyway i will leave it at 20 and click next um i will just leave this uh um but i think this is important as well now as you can see for each 587 here i can see the number 587 here also i can see 587 if it is matches for me i think it's okay but for example if there is a number like 1000 or 2000 something like that in here in in the top row in the top sentence but you get something like 1000 here in this box i think you need to change in that case for me personally i would prefer to uh to match this number in this number as well otherwise that says there are many possible authors which can be included in the analysis but but uh i mean all those authors may not be included and now now what i need to say is if you have something like 2000 here and then in this box we have something like 1000. that means there are possible 2000 authors which can be displayed in the network but only 1000 will be displayed so i don't want that to happen if you want that to happen of course you can you're happy you can proceed it okay but for me personally i would like to have uh to match these two numbers okay next now this is a very important uh step although you do the data cleaning in the initial phase you you should still check if there are any errors in in the data because many times there can be errors in the data that we download from any database i think so now as you can see this is the author column so you can go down scroll down the author column and see if there is something suspicious i mean like if you go along maybe uh you know somewhere down the list there is islamic university of maldives you definitely know it's islam university of maldives cannot be an author so what you can do you just untick it from here okay you're not going to go all the way to the data file and find this particular one and delete it no you're going to just uh untick that particular uh element from here okay so you have to go all the way down okay all the way down and see if there is if there is no error make sure there is no error alternatively maybe if you are very happy with the i mean working with excel you can proceed with the analysis export the csv file and do the check using excel or whatever techniques that you uh i mean no to identify it but anyway you will have to do the unchecking from this stage okay so you let's say every data all the data is okay there are no wrong entries here you just click finish and of course i should get the same map now because i did it a while ago yeah yeah we get this same map because i did it before now what actually this tells us now um actually uh i think this is something important on the right hand side you see the weights the weights are actually the thing that decides the size of these nodes okay now right now the bigger circles indicates that these are the authors who has been mostly cited it's because you see in the weights uh uh this section i have actually by default citations is selected now if you click the arrow you can see there are other options available too okay but i think it's meaningful to keep it as citation the other things are links these are just relationships between uh authors these are total link strengths so you can actually change how to actually uh you can instruct whatswever i mean what it has to look at in order to size this uh nodes now for for this particular analysis i think citation keeping it a citation is is good enough so the bigger circles are represents those authors who have been cited uh many times almost number of times now how to actually interpret this one now you see some uh see the you don't actually know who the authors are i mean in full you only see part of it part of the name sometimes if there are two authors you don't see the other authors names and and so and so forth but however what you can see from this is that now the authors actually they are clustered into four groups by color we have the green the blue the red and the and the gold now this tells us each color tells us a kind of theme we call it a cluster in in network analysis now the clusters are kind of themes they actually shows relationships among authors if you have relationships among others that means it's a relationship among the publications as well in a way because authors are actually affiliated or associated with their own publications so in a way this is telling us that there are four distinct schools of thought in the domain of workplace learning of course these are not numbers well i mean to interpret it like this is not numbers this all qualitative but it's coming from a quantitative analysis it's coming from a graph like this or a map like this but this is how you can interpret it later on of course this can only be interpreted by somebody who knows the field now if you're away from the field of workplace learning it will be very difficult for you to find out i mean what they mean and there's one thing else of course by looking at the names you won't know what they're talking about at all so in you have to go deeper into this you will have to because now there are two things you can do actually i mean once you come to this stage one thing is you will you can either export this is a an image file like this you can save an image file which you can beautifully display in your manuscript in your article okay so you need to save it as soon as you're happy with the map you can save it voice fever does not allow you to save your work okay when you're happy as soon as you're happy just export whatever you want okay that the two major forms of export are the image format so you can save this as an image file and the other very important thing is you need to save click the save button and use this row okay the first row to save the csv file for this particular network which is very important which is the one i showed you in the very beginning when i did the journal analysis okay so you just click browse okay click this button uh choose csv from here write the right give a name for your file say in this case i did the analysis for intellectual uh um so i think i did i did a co-citation analysis so i can name this one is called citation and i did it based on authors so i will type the name for citation based on authors click ok now this will save you and again click ok in the first step i gave the name and you can also choose the location let me see yeah it's let me see if i yeah i will i'll write it again for citation call citation authors okay i'm saving it on desktop okay okay and then let me show you my desktop right there code citation now this is a very important file because now once you actually finished playing with watchful you cannot save this file i mean as it is invoice within washfield you cannot do that so whatever interpretation that you want to make you have to make while you are in verse 31 and the other useful file data is actually the uh this this the csv file that you actually exported just now because this file will show you now i'm waiting for my very slow computer to show me what is inside the csv file now i have to be patient here again i want to be very fast because i know time is running short but unfortunately my computer is not helping me i hope you would bear with me uh okay so i think you can see the file now uh you see these are the uh authors names um and we can see the cluster is these clusters are actually the uh based on the colors so we can know from here also we can see the groups of authors by actually filtering it based on the clusters we can also see many other important information you see um these are the number of links number this is the number of citations so even though you just close was fever you have the information the data here here you can see the number of links that means how many uh co citations how many uh links this particular author has that means with with 160 authors this particular author has links with 160 other authors okay and link strength means how many times because even though you are having a relationship with 180 authors you may have relationship with one author many times so your link strap may be more than the number of links you have so all the information that you have actually is here in this csv file if you go to watch viewer and just hover your mouse in at any point the same information that you have in the worst view in the csv file can be seen at the bottom of the uh of your page of your of your window um it's very small right now it's very small right now i i'm not sure whether you can see it but at the top at the bottom of your window you can see uh now right now i'm hovering your mouse on be light this particular author and at the at the bottom i can see which cluster he belongs to he or she belongs to the number of links the link strength and citations that he has he has a hundred and he or she has 1034 citations okay the same information will be there in your or in in this csv file as well if you actually uh filter it and sort it out sorted you will be able to locate this information easily so i mean to sum up everything now we know i mean we know that the structure of knowledge in on workplace learning they have uh four different uh i'm kind of i mean themes you can say themes and in order to find what actually is these themes what each of these themes represent then you will have to go back to the to find out those things you will have to go back to the original documents we didn't do this under keywords how how you can do how you can go to that well you have the author's names already in your in your csv file which is generated from was v1 you know that author's name you can just copy this author's name go to your original data file which you downloaded from scopus or whichever data source you have search for that particular author make sure that this is the correct author and look at the document now when you can look at the document you also have the abstract with you so you know what kind of things they are talking about in this particular document so you have to actually do some sort of qualitative work as well in order to actually make meaning of what is actually displayed in a network like this so just saying that billet is the most highly cited uh author and then he has got 1034 citations and he is linked with 160 other authors is isn't enough i mean to me it's not enough of course it's important it's important it's a very important information because it tells us who are the influential authors and how much influence they have but in addition to that if you want to make some meaning of how knowledge is produced by i mean or the landscape of knowledge in this particular domain you will have to go much deeper into this kind of analysis all right so i think i have spent much time on this because i want to make the rest a bit faster because the rest of the networks all will look the same okay if you understand how a network looks like what the nodes represent and how to interpret a network in this manner the rest is very easy of course in whatsoever you just play later on you can actually rotate the maps and then flip it around you can change the size make it more beautiful or less beautiful and depending on you because you have other parameters you can play with okay so there are many ways by which you can actually make your maps more attractive but we cannot we don't have time to go into all those you just open whatsoever play with it and then get to know uh the skills yourself will be it will be more helpful i would uh say okay now going back to my slides uh let me show you this research question research question number five now this question wants to find out um [Music] the major keywords the major concepts that actually uh that uh have been explored in the topic on any particular domain in in my case in in the domain of or in on the topic of workplace learning so in order to identify the concepts per se uh the one of the best ways i think is to go for keywords because keywords are uh actually contain the the essential concepts that you want to actually convey in in any in any publication so in order to the one of the best way to identify the concepts in a given domain you can use a keyword analysis we call it a keyword co-occurrence analysis okay so i will demonstrate how on go to create now i spent much time before now i will not spend that that much time now okay go to create choose the second option go next choose the first option go next because nothing is changed it's the same procedure okay i'm following you locate your file okay and go next now i want to do a keyword co-occurrence analysis so you choose the particular type of network from here on the left hand side i will choose co-occurrence from here okay choose co-occurrence from here i will leave the content method at default and the unit of analysis of course are all keywords okay because we're going to do a keyword for access but there are three options available for us whether we can we can only use the uh keywords provided by the authors you know when we write our articles we provide keywords ourselves at the at the i mean at the bottom of our abstract now these are all the keywords now uh the indexing services may use other keywords also in order to i mean they may associate other keywords in addition to the keywords that you provide so if you want to use all the keywords your keywords as well as other keywords that index and services may have associated with your uh publication then you will use all keywords in my case i think i will use all keywords and then proceed next now like in the case of authors in the previous network you can choose your parameters you can increase this one decrease this one read what is written there this time its number of occurrences of keywords co-occurrence of k words okay not simply occurrences that means some two words a pair of words occurring uh so we are looking at a threshold of five and we get 493 um entries meet in this particular criteria and if you're not happy with this one you can either increase this threshold or decrease this threshold in my case i believe it like that go next go next here again please check please check go through this list and see if there are any uh i mean senseless words as keywords okay because a person who is uh in the field can be uh i mean uh can actually identify which can be a keyword or which case for example united kingdom is the name of a country now if you if you really want to keep it as a keyword to appear in your network you can leave it but otherwise i feel it it's not a concept at all so i will not include it in my analysis so just untick it okay if you feel okay i want to include but for me i think if you want to know about concept i should delete things like this the names of countries names of maybe universities or institutions and things like that um and of course uh at this stage actually particularly when you do a keyword analysis there will be uh words with different spellings or maybe with plural form and singular for for example methodology and there may be another word called methodologies perception and then maybe another word called perceptions so these kind of things uh actually has to be managed by using the thesaurus file which is another level of doing the analysis which we cannot demonstrate tonight okay but that has to be actually uh addressed if you see that there are different spellings there are plural forms and singular forms and the different ways of writing the same word and of course you will have to in order to address in order to capture it i mean in in the proper way you will have to apply at the source file at the source file this all the source file what it will do is it will actually instruct was viewer to actually treat different variations of the same keyword is one keyword okay so in order to do that you can you have to use a thesaurus file okay that has to be created by the researcher okay anyway we cannot do it right now i will just click finish now as you mean that everything is okay all the work keywords are proper uh i will ask was viewer to give me the math a very beautiful math hopefully oh wow so we see this one very colorful again the colors are clusters they can actually tell us okay these are a different group of i mean a different concept this can be for example the red may be showing you a different theme of keywords okay i mean closely related concepts the blue is another cluster it can be i mean a cluster can always be meant as a theme okay we have the green theme we have the gold theme we have the arranged theme we have the purple theme and all those okay if the um you can see some red uh dots are actually a bit far away from other red dots of course the red cluster represents would i ideally represent the same school of thought but they are far away because they may be a little i mean conceptually little i mean far from this particular theme but because they have been co-used co-occurred in publications they have been clustered in this particular color okay anyway the interpretation is quite the same in any in any network so you see the colors as clusters and in order to find out now i think in this case you don't need to go to the documents to understand what it is because you have the keywords here itself so this can be like the codes in the qualitative analysis so these keywords can actually tell you i mean i mean give you some kind of qualitative meaning to tell you what kind of theme all of them uh form together okay and if you want to go deeper um for this analysis i don't know i don't think you can actually locate the documents okay like in in the case of authors you will be able to locate the documents and find out what the what's inside but in this one i think this is self-explanatory because we have the keywords you can make some meaning of these keywords all right so that is that research question now i'm running out of time um well i think this is the last research question let me also demonstrate this to you very quickly this actually wants to find out the kind of relation collaboration among authors okay so the question is like what is the nature of collaboration that is evident in the publication of workplace learning all right so we can do a co-authorship network this time because in order to find the collaboration we will do a co-authorship network i'm demonstrating right now very fast um i will in this phase i will choose co-authorship okay so i have used co citation already i have used just now now i'm using co-authorship when do we use co-authorship when we want to find the collaboration okay and from the left right hand side you can see the analysis can be based on authors it can be based on institutions or organizations it can be based on countries as well so it's up to you now if you want to find out the collaboration between authors choose authors and go next um i want to keep this very simple so i will not change any of these parameters just read it when you use was viewer and to change the parameters as you wish depending on how much results you get here okay always observe this number uh at the bottom of these boxes when you play with the parameters okay go next go next again here at this space make sure you read through the author column make sure because we are basing the analysis on authors make sure there is there is not something like uh florida uh state university or something like that in this column okay if there is anything just exclude exclude it from the analysis okay so i finish uh it says that this this is i think an important message it says there are 68 authors but only 23 can be connected together probably the rest have no collaboration at all so it's asking whether i should once we were to demonstrate all the 68 i mean those including those who do not have any collaboration oh museum should only demonstrate the 23 who has some collaboration in my case i prefer to use only those who have some collaboration because i want to do a collaboration network so i will say yes otherwise you say no still vasu will go forward and give you a map but it will demonstrate all the other authors who have no collaboration as well but in my case i will say yes so that it will only demonstrate to me those who have some collaboration now this maps look very inferior what i can make it beautiful i can make it beautiful by playing with these things make it more attractive rotate it and do all those things but of course now this tells us okay these red group of authors they have close collaboration this blue group of authors they have close collaboration and also we can see the red in some of the authors in the red cluster they have some collaboration with these authors now we can see where they come from we can see what kind of uh work they do by looking at our original data file okay and we can also analyze and see if uh great collaborators if they are like publishing a particular type of articles or if they are having a collaboration with a particular group of people and so and so forth so all these things can be interpreted from this network okay you can also choose the way it's you now now itself it's based on documents so the bigger cycle the bigger circle uh tells us this particular author has many documents published you can also change it based on citation now now you see the network the the size of the circles have changed so you can do this analysis on various methods on various aspects all right so this is about networks um i think i have to finish in five minutes uh yeah only 10 minutes left so i should finish in five minutes so that's all about networks i just demonstrated you three types of networks there are other networks you can do and networks are very beautiful things which you can uh and use uh in your analysis and i mean it will give you i mean meaningful interpretations uh if you want to make some sense of the publications in any in a given domain okay now we want to talk about publications as well i think many of you may have some interest in writing a bibliometric research paper how does a bibliometric research paper look like not very different from any of the research paper so we have the same uh i mean traditional sections introductions and all those things but i think sometimes the literature review sections can be a bit shorter uh uh i mean when compared to many other research many other genres of our research papers but but of course it depends on on on the field and it depends on the earth as well i think because i have seen some uh bibliometric papers which has some lengthy literature reviews as well but there are other literary other papers which actually sort of merges literature every section into the introduction section and have it maximum say four or five paragraphs and then it's done introduction and literature review together and then you jump into methodology section um and then with regard to uh um so there can be some variations yeah in the format with regard to findings and discussions you can again have it it's two separate sections but i think in many bibliometric articles uh these two are merged together it's not that you have to do it like that uh but it's i think just a preference uh it's up to you maybe if you want to write a bibliographic paper first search for bibliometric papers in your particular domain and then uh oh i mean a closer domain and then see how they have actually structured their paper and then and one another one important aspect is conclusion and implications dr ahmed has already answered one of the questions in uh this this important uh actually section of a bibliographic paper uh you i would say i would argue that you should actually throw some light on future research because you are actually analyzing on the published work in in a given field and you must actually tell something about what people do in the future in this particular domain i mean that's a very essential part of the implication section in in the bibliometric uh paper i just wanted to actually show you some samples it's already is there but i don't have time to go into detail this is a sample methods section i just wanted to highlight that you the method section has to be clear enough uh so that people know what keywords you used which database you used how you did the searching and what kind of filters you used and all that okay and yeah this is an example of the implications section from a tourism uh hospitality and tourism journal clearly it actually tells us where is the direction for future research okay now where can i publish bibliometric papers now although it is the bigger metric is can be associated with library science as you can see from this particular graph now this is a very recent graph uh generator from scopus as you can see there are journals outside library science area we have seen we as you can see there are sustainability switzerland uh close one nature journal of cleaner production and many different varieties of journals now if you see these these examples we have uh we can see uh european journal of educational research now we have published in this particular journal we can see uh this the one on the right is published on journal of workplace learning this is the one that i actually demonstrated uh tonight uh to all of you so it's published there as well so it doesn't come from library science area yeah this publication on top uh is published in the international journal of uh online journal of educational leadership so we can see that area as well the one on the in at the bottom is a bibliometric review uh published publishing journal of sustainability so we can see that also coming up there and this one a the one on the left is related to entrepreneurial finance the one on the left is related to economics so we see it's coming from many different areas now this one is very important this one published in journal of hospitality and what is the management it's the bibliometric analysis of that particular journal published in that journal itself now this one is very interesting related tourism to geography tourism landscape nexus this is also geomet uh uh a biometric analysis so we can see that bibliometric analysis is done from almost any field from social science from medicine from computer science from other fields business economics finance uh biology chemistry and all those arts and human sciences so we see bibliometrics is growing in in in many many different uh areas now the final thought now bibliometric is actually useful to understand knowledge in a given field now if you have if you think there are enough publications in any given field diplomatic analysis is i mean it's not only for library scientists it's for any researcher as you as you have seen in in the previous slide um it's a growing area it's a growing genre of research papers and i think for those who are looking for publications this is a potential field or potential area which you can look at sit at your desk cut the data and then do the analysis and of course if you want do the collaboration with someone and then try to get it published i think i've taken much time and i should head over the session to dr faisal now thank you all for being here uh i think if you have time we can uh accommodate some questions sure thank you very much dr visal and obviously dr ahmed very interesting session yeah throughout a lot of comments thanking both of you for a wonderful session so there are obviously questions also time is limited so i'm gonna go maybe a couple of questions right so at least we can answer a few questions one of them is this one which is related to in the end what you just said uh i would like to know how mature a topic needs to be to perform a bibliometric analysis in terms of years insulation and publications i'm trying to i just came uh to the to the screen and i'm trying to read the question i think uh i will try to answer this question maybe if dr ahmad has something to add to this one uh um please uh uh just uh come in uh i think i there is no hard and fast rule that it should be the topic has to be there for for this number of years but for me personally i think because in bibliometric analysis we want to show i mean the kind of i mean the knowledge that already exists in a particular domain so if you say for example you have only a few tens or i mean maybe 10 50 but publications in a given field i don't think that suits uh i mean the concept of doing a bibliometric analysis so it's not the number of years it's not the number of publications but i think there should be i mean some good number of publication by good it's very very subjective i guess but it's not it shouldn't be very less that it doesn't actually serve the purpose of because the metric is done because when you have so many publications and it's not easy for you to understand the field by looking if you have few articles you already understand what is there already but if you cannot make sense uh there are so many publications uh that it's easy difficult for you to make sense i think that's where you can go for bibliometric analysis and the number of course is it doesn't matter so much dramatic that so far this is very clear thank you dr vishal and dr emma the other question is uh similar question what i was asking dr remind earlier which which journals are mostly needing papers like this um i think we tried to address this in the last few slides that i shared just now so i think um many journals not only libraries and journals journals in many many areas except in bibliometric papers right now and if you want to actually uh find out from your field maybe you can do a scopus search yeah just type the word bibliometric and then type whatever keyword other keyword that you want to actually use maybe hospitality or education or management whatever and see if people are doing bibliometrics in this particular domain and see where they are getting published okay i actually have a suggestion for this type of stuff because these type of questions come a lot right and there's no problem with anybody asking this question i think it's mainly lack of guidance i did a video a couple of months ago on how to find the right journal for your paper so it's something like that i i can quickly show this one so uh what i would suggest to any authors like this is maybe look into this or any other methods i mean go to your library your librarians can tell you how to find the right journals or in fact earlier doctor vesal and dr emma both of them also showed some stuff about shimago junior jr uh yeah so that website also shows a ranking of journals um the best way is go find out journals and then go and check their published papers recently published papers for instance just now dr visal showed so many screenshots of journals some of those journals are really top tier journals uh journal of hospitality and tourism management is a top tier journal but i also know that in hospitality and tourism there are top tier journals that are not interested in bibliometric analysis so i think you have to go and check the journals what they are publishing also look at the author guidelines because sometimes author guidelines also explain very well that even if you do bibliometric analysis what type of things they want you to put into it other than the analysis itself so i think you've got to do some work on your own as a researcher okay perfect so um let's continue with a couple of more questions this is i think a software specific question is it possible to use more than one database with was viewer uh second question does this software show thicker edges between authors with higher collaboration uh first i think the first part of the question is partly answered before by dr ahmad if you want to actually use data from a number of databases uh i think that's possible but you need to merge the data and merge and clean the data and like the tama said i also don't have any practical experience in doing that but i know there are some papers who actually did this maybe if you are interested in merging data from different uh databases you can actually read these papers or have done this and i think definitely these papers would have some kind of explanation on how they actually managed to do this for the second part of the question uh yes the software will show thicker edges for stronger relationships yes okay all right perfect and i think you call them relative uh you know numbers right depending on overall stuff and then okay another question uh is also related to analysis what's the difference between citation and co-citation analysis and when we use these differently citation simply means for example i have a publication and there are some some three other publications have cited my paper i've got three citations simple co-citation means my work is uh cited with another work for example my work and somebody is writing a paper and this particular author has cited my work in dr ahmad's work so that means our then there is another article say for for example and that article also cited my work in dr ahmad's work so now we have got a co-citation of strength of two now let's say i have my work is cited by a third author but this author did not cite ahmad's work my citation increases but the course citation remains the same my citation now goes up to three but our co-citation remains two because we have been co-cited only in two by two authors i think that's the concept uh okay i think dr emma is a bit stuck so i can go with the next pin and i don't know who where to take this question right so this other question is um about okay hold on yeah what is the meaning there's a link between oops what happened my internet becomes suddenly a bit slow okay yeah what's the meaning there's a link between one cluster to others how to interpret this um let me try to respond to this one uh of course um i think the meaning of these links will very much depend on the kind of analysis we are engaging for example the link the meaning of the link in the co authorship network or maybe in a collaboration network may be very different from a keyword co-workers network but anyway the links shows us the relationships the colors shows us the clusters the themes so as we can see although there can be i mean if you're talking in terms of key i mean in taking the perspective of a keyword called map but while there can be broad categories or themes of concepts it doesn't mean that the concepts are really independent of one another so in this particular case the links could mean that of course these are distinct uh themes there are some kind of relationship between these teams so there's something like that but the same interpretation i mean the the this interpretation could interpretation could be different when you analyze uh uh for example something like a collaboration network so i think it varies from network to network okay all right let me add something when we talk about the the links there are certain ways that we can interpret for example uh we can look at the thickness of the link and also we can also look at the length of the link for example if the length is short then we can say that the association between those two uh calls the related or there's a closed relation if there's a i mean it's saying if it's having a short distance and it's saving a very a long distance then we can say that the association between these two even clusters or two uh authors they're having uh two of us so say that there are ways that we need to uh uh look when we interpret the links yeah okay uh thank you very much dr ahmed so i think because the time is limited i will we can go towards the end just very quick one last question from both of you so because you are experienced in this and somebody asked me to share links of your papers which i did so those of you who are watching you can go to the chat and check those links you can read the papers cite them if possible read them it's good for researchers so um i want to ask you dr visal and dr ahmed based on your experience what is your you know top one two or three suggestions for people who want to get into this bibliometric analysis uh thank you uh very much uh uh products prison um i think there are a lot of benefits of uh doing the bibliometrics especially the postgraduate students when you want to uh at the very initial stage of your research i recommend uh the postgraduate students to do the do a bibliometric analysis on your research topic then the postgraduate students would understand what's the current trend of that topic and also what's the future direction of the research and one of the advantage of doing a bibliometric analysis at a very early stage of your research journey is that you can publish a paper and you can fulfill the requirement of your phd journey as well and after doing the bibliometric paper i also suggest the phd students you can go with the systematic literature review paper and also some conceptual papers so this is one of the very initial steps and uh looking at the benefits of uh bibliometric papers of inflammatory analysis you don't have to go out and collect data you have the data on your uh databases you have to search and you when you do the search i recommend you to do the thorough uh search and also um one another important uh recommendation is uh not to use the direct i mean the data that the raw data that you extracted from the databases before you start the analysis always keep in mind that you have to do the data cleaning you have to do the data cleaning uh check whether the wrongly entered information is there for example one of the easiest ways you check the column of the uh year in the year column if there is something else in that column i recommend uh to delete that row and do the data cleaning process so i believe that this is one of the very fast and very cost effective and way of uh doing or engaging research work and fulfilling a phd requirement as well thank you thank you very much dr emma uh dr vishal same question for you um uh thank you dr faison um that for somebody who actually wants to do bibliometric analysis and get get it published my advice would be you know if possible try to get i mean some sort of formal training of course this these webinars will uh be eye openers for most of us but we really need to get engaged in proper training and if it's difficult do some collaboration okay get somebody who can do the analysis for you and in the meantime you can also learn from them and try to get it published do the work collaboratively and third but not the least read bibliometric papers and that will help you a lot uh and um to give you the feel of what bibliophilic papers are and what uh can they do uh for you as a researcher and how actually is dramas already mentioned to understand your field and how you can progress in in your area i think that's all uh from me and if this may be the last chance i would also like to thank dr faison very much for having us uh here in this platform it's really an honor for us to be here to share knowledge with with um all the uh fantastic researchers and learners here out there thank you very much uh thank you dr visal it's my pleasure and honor is mine i mean you know i am so appreciative of you not only to take the time but also for your willingness to share your expertise and knowledge with a wider audience and you can see i mean people absolutely you know appreciate all this it takes a long time to prepare and you know it's it's a big effort to speak for two and a half to three hours constantly and then share your knowledge so um i agree to what you said in the end these webinars and the reasons why the the main reason why i actually am doing these webinars is because i want uh younger researchers to understand that you know there's a lot more than what you were trained in during your phd so open your eyes to a lot of other things that are happening around you know these are new tools for instance scm for the last 10 years 15 years has been so much abused that now many journals are moving beyond sem right so things like bibliometrics things like systematic literature reviews are important one is because of abuse of other methods the other one is because in the last 10 15 years most of the disciplines have evolved quite a lot right i mean if i look at hospitality and tourism there's so much research going on now so there's a need for bibliometric analysis and systematic literature reviews and meta-analysis and stuff like this so i agree to you that these webinars are just a sort of uh appetizer you know just sort of understanding like what can you do with it the main course is where you really need an expert to guide you throughout remember one other thing that um you know we always say that there are people who study mba but then there are people who grow up in the middle of you know those busy business streets who know business much much better right so there's a lot of stuff happens and uh collaborations uh having a mentor who is good at research methods can really help younger researchers quite a bit um lastly um i want to announce a couple of things one is i'm always looking for people who are good at different things right any sort of expertise and you don't have to be a full professor you don't have to be a dean you don't have to be anything you just need to have some expertise in a particular tool so if you are good at something and you want to share it with a wider audience like this to benefit others uh send me an email drop me a message on facebook or however you want to connect i'll be happy to have you over and then we can share your expertise your knowledge with a wider audience and lastly um i already asked for for it a couple of times if anybody wants to support me in these initial initiatives please let me know i want to say this very clearly that anything you support me um it doesn't go to my pocket i'm actually trying to help different people with social causes and things so anything that you support me is going to go further for somebody who is in need of it right i'm just trying to be a medium because five dollars or three dollars is not going to make me rich so just telling you this thank you once again to um dr visal dr ahmad uh i really appreciate both of you and your time thank you yeah thank you thank you very much for dr faizon for giving us this opportunity to share our knowledge with the wider audience and we really appreciate and acknowledge your work especially what you are doing uh through the research beast and i'm very sure that you're helping the young researchers and the postgraduate students in the area of the research and applications thank you and we we will definitely continue uh uh continue to support you in case of any help and also we are very willing to uh collaborate with others in the area of the bibliometric research papers or in other areas too thank you very much sorry i actually really forgot this thing about both of you so if anybody wants to collaborate with the both of you right dr emma or dr visal because obviously you are experts in this uh what is the best way to connect with you so whoever watches this right now or in the future if they want to reach out to you and collaborate or however what is the best way to reach out to you yeah the best way uh would be uh send an email sending an email send an email uh and uh in the email uh he or she can uh mention about that and can explain that and uh we will definitely uh reply back thank you dr richard oh yeah sure sure uh dr feizen if you have um i i'm not sure if you have our email addresses if you have you can um definitely share the email addresses maybe in the comment section later on or however way whatever way you want to uh yeah sure i think that's a good idea i will add it to the video description so even in the future anybody watches this video can simply go to the description pick up your email addresses and your affiliations so they can contact you and then you know what thank you once again to both of you dr vishal and dr ahmed and to everybody else who was watching uh we had an uh a very active audience throughout the session uh now people started dropping because it's late uh but we had a very active participation throughout so thank you everyone stay safe stay healthy and may god bless you all