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Research collaboration and topic trends in Computer Science based on top active authors

Authors :
Yan Wu
Srinivasan Venkatramanan
Dah Ming Chiu
Source :
PeerJ Computer Science, Vol 2, p e41 (2016)
Publication Year :
2016
Publisher :
PeerJ Inc., 2016.

Abstract

Academic publication metadata can be used to analyze the collaboration, productivity and hot topic trends of a research community. In this paper, we study a specific group of authors, namely the top active authors. They are defined as the top 1% authors with uninterrupted and continuous presence in scientific publications over a time window. We take the top active authors in the Computer Science (CS) community over different time windows in the past 50 years, and use them to analyze collaboration, productivity and topic trends. We show that (a) the top active authors are representative of the overall population; (b) the community is increasingly moving in the direction of Team Research, with increased level and degree of collaboration; and (c) the research topics are increasingly inter-related. By focusing on the top active authors, it helps visualize these trends better. Besides, the observations from top active authors also shed light on design of better evaluation framework and resource management for policy makers in academia.

Details

Language :
English
ISSN :
23765992
Volume :
2
Database :
Directory of Open Access Journals
Journal :
PeerJ Computer Science
Publication Type :
Academic Journal
Accession number :
edsdoj.9a6754fa45534300a18e05108b7dd525
Document Type :
article
Full Text :
https://doi.org/10.7717/peerj-cs.41