Authorship Pattern of 21st Century Data Science Research: A Scientometric Evaluation

Sarkar, Arindam and Pal, Ashok Authorship Pattern of 21st Century Data Science Research: A Scientometric Evaluation. Library Philosophy and Practice (e-journal), 2020. [Journal article (Unpaginated)]

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English abstract

The present study focuses on the various facets of authorship patterns in data science during 2001-2018 and other components using different bibliometric parameters. The annual growth rate of articles, authorship pattern, author productivity rate, degree of collaboration, author collaboration network visualization, and finally the application of Lotka’s law are the major thrust of this research. The authors mentioned that the data set derived from this research largely follows Lotaka’s law of author productivity.

Item type: Journal article (Unpaginated)
Keywords: Data science; Authorship pattern; Author productivity; Degree of collaboration; Collaboration network; Lotka’s law
Subjects: B. Information use and sociology of information
B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Dr. Ashok Pal
Date deposited: 15 Mar 2021 10:46
Last modified: 15 Mar 2021 10:46
URI: http://hdl.handle.net/10760/41854

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