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Collaborative authorship patterns in computer science publications

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Field Value
 
Title Collaborative authorship patterns in computer science publications
 
Creator Kumari, Priti
Kumar, Rajeev
 
Subject Research Collaboration
Co-authorship
Computer Science
Conferences Journals
 
Description 22-32
Based on the analysis of data we observe that the share of single-authored papers was significantly high in theoretical
computer science, while collaborative efforts dominate computer science system research like PL, AI, ML, etc.
Collaborative authorship is higher in journals over conferences. Further, values of collaborative indicators are also high for
journals except for the Machine Learning (ML) subfield. In addition, the author distribution patterns are different for
conferences and journals. The findings also exhibited diversity in authorship trends across sub-fields of CS research. Our
results show collaboration trends in conferences and journals of major CS subfields. Such collaborative patterns benefit the
funding agency, policymakers, scientific community, and researchers to plan and execute their research.
 
Date 2023-05-03T08:52:21Z
2023-05-03T08:52:21Z
2023-05
 
Type Article
 
Identifier 0975-2404 (Online); 0972-5423 (Print)
http://nopr.niscpr.res.in/handle/123456789/61837
https://doi.org/10.56042/alis.v70i1.70536
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source ALIS Vol.70(1) [March 2023]