RBU_JR_LIS_V23_2021-FULL_TEXT-E-Copy

Das and Verrma: Co-citation and bibliographic coupling …
topics and show an upward trend towards the
scientometric or bibliometric study. The link strength of
the authors with other authors in co-authorship analysis
shows that authors are highly connected with the other
authors are of the same countries. So, the global coauthorship
pattern is very negligible. The author Gupta
B.M. is a highly co-cited author which means he has been
cited maximum with other authors among all the authors.
The source journal Annals of library and information
studies itself has the highest number of citations based on
co-citation analysis of sources. In bibliographic coupling,
the contributions from India got the highest citations
collaboratively with other countries. It means India is the
leading contributor to that journal. The publication Garg
(2011) is highly bibliographically coupled with others
having the highest total link strength of 15. The author
Garg K.C. has the highest link strength which
demonstrates that the author has a good link with other
authors in the same publications citations of other
documents. The words scientometric, bibliometric, India,
Citation analysis are the most co-occurred author's
keywords. The scientometric study on Annals of library
and information science provides a broad summary of the
growth of publications, particularly based on Co-citation
and bibliographic coupling analysis which scholars and
periodical managers can use to decide the direction of the
journal and to choose the journal for their publications.
Li, M. & Chu, Y. (2016). Explore the research front of a
specific research theme based on a novel technique of
enhanced co-word analysis. Journal of Information
Science. 43(6). 725-741.
Marshakova, I. (1973). System of documentation
connections based on references (SCI). Nauchno-
Tekhnicheskaya Informatsiya Seriya 2, 6, 3–8.
Morris, S. A., Yen, G., Wu, Z., & Tesfaye, B. (2003).
Timeline visualization of research fronts. Journal of the
American Society for Information Science and
Technology, 54(5), 413-422.
Narin, F., Olivastro, D., & Stevens, K. A. (1994).
Bibliometrics/Theory, Practice and Problems.
Evaluation Review, 18(1), 65-76.
Newman, M. E. J. (2004). Fast algorithm for detecting
community structure in networks. Physical Review E, 69,
066133.
NOPR, Available at
http://nopr.niscair.res.in/handle/123456789/66 (Accessed
on May 15, 2021).
Tague-Sutcliffe, J. M. (1992). An introduction to
informetrics, Information Processing, and Management,
28:1-3.
Vladutz, G., & Cook, J. (1984). Bibliographic coupling
and subject relatedness. Proceedings of the American
Society for Information Science, 21, 204-207.
Wanying, Z., Jin, M., & Kun, L. (2018). Ranking themes
on co-word networks: Exploring the relationships among
different metrics. Information Processing &
Management, 54(2). 203-218.
About Authors
References
Boyack, K. W. & Klavans, R. (2010). Co-citation
analysis, bibliographic coupling, and direct citation:
Which citation approach represents the research front
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Saumen Das (B.Sc IT, MLISc) is a research scholar
in the Department of Library and information
Science, Mizoram University. He has qualified the
UGC NET exam June 2015 and November 2017. He
has attended and presented many papers in different
national and international conferences and seminars.
Other than he has published many papers in
different journals. His field of interest ICT, Library
automation, Bibliometrics, webometrics
Dr. Manoj Kumar Verma is working as Associate
Professor Department of Library and information
Science, Mizoram University, Aizawl. He has
completed his MLIS & PhD from G.G University,
Bilaspur. He has more than 21 years of professional
experience. He has published 170 papers in national
& international journals/conference proceedings, 17
book chapters and 8 books/edited books. His area of
interest includes: Library Automation, Knowledge
management, Information Literacy, Bibliometrics,
Scientometrics & Webometrics.