Collaborative authorship patterns in computer science publications

Kumari, Priti ; Kumar, Rajeev


Based on the analysis of data we observe that the share of single-authored papers was significantly high in theoreticalcomputer 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 forjournals except for the Machine Learning (ML) subfield. In addition, the author distribution patterns are different forconferences and journals. The findings also exhibited diversity in authorship trends across sub-fields of CS research. Ourresults show collaboration trends in conferences and journals of major CS subfields. Such collaborative patterns benefit thefunding agency, policymakers, scientific community, and researchers to plan and execute their research.


Research Collaboration, Co-authorship, Computer Science, Conferences Journals

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