Scientometric analysis of computer science publications in journals and conferences with publication patterns

Abstract

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 publicationpatternshavebeenstabilized.Wecalculatedistinctinstitutions,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.