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

Main Authors: Sarkar, Arindam, Pal, Ashok
Format: Journal PeerReviewed Book
Bahasa: eng
Terbitan: Libraries at University of Nebraska-Lincoln , 2020
Subjects:
Online Access: http://eprints.rclis.org/41854/1/Data%20Science%20Research.pdf
http://eprints.rclis.org/41854/
Daftar Isi:
  • 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.