Scientometric Analysis of Computer Science Publications in Journals and Conferences with Publication Patterns

Journal of Scientometric Research,2020,9,1,54-62.
Published:May 2020
Type:Research Article
Author(s) affiliations:

Priti Kumari* and Rajeev Kumar

School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110 067, INDIA.


Prominence of Computer Science (CS) research articles in journals and conferences has been a topic of research. Major issues regarding these publications are pros. and cons. of review process and scientometric data which is sub-fields specific. Therefore, we adopt a different approach, we define metrics based on authors and their affiliations and study the patterns of different publications. We consider publication data of key CS journals and conferences in three sub-fields of past five years, during which that publication patterns have been stabilized. We calculate distinct institutions, occurrences of repeated authors and also examine the overlap of authors and institutions in consecutive years. Thus, we show diversity of CS publications in terms of authors and institutions. We have observed that in conferences 60-80% authors have participated from repeating institutions while this range is 40-60% for journals. Further, the maximum repeating frequency of authors is 28% in conferences, while it is 15% in journals. In addition, overlapping percentage of authors and institutions is also lesser in journals than that of conferences. Hence, journal publications are more diverse in nature in terms of participating authors and institutions. Moreover, cross comparison of conferences and journals in same sub-field indicates the mutual exclusiveness of these mediums.

CS Sub-Fields and the corresponding Conferences and Journals taken for study

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Kumari P, Kumar R. Scientometric Analysis of Computer Science Publications in Journals and Conferences with Publication Patterns. Journal of Scientometric Research. 2020;9(1):54-62. doi:10.5530/jscires.9.1.6.