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Collaboration and author productivity: A study with a new variable in Lotka's law

Author

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  • B. M. Gupta

    (National Institute of Science, Technology, and Development Studies)

  • C. R. Karisiddippa

    (Karnatak University)

Abstract

The paper explores the possibility of using a new variable represented by the number of collaborators per author as a substitute for the number of papers in Lotka's distribution to predict the productivity strata. On the basis of a case study in theoretical population genetics it is concluded that the number of collaborators per author has not proved to be a good substitute in the Lotka's distribution, which is in contrast to Qin's results.

Suggested Citation

  • B. M. Gupta & C. R. Karisiddippa, 1999. "Collaboration and author productivity: A study with a new variable in Lotka's law," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(1), pages 129-134, January.
    • Handle: RePEc:spr:scient:v:44:y:1999:i:1:d:10.1007_bf02458481
    DOI: 10.1007/BF02458481
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    References listed on IDEAS

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    1. Paul Travis Nicholls, 1987. "Estimation of Zipf parameters," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 38(6), pages 443-445, November.
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    Cited by:

    1. Chi-Yen Yin & Hsiao-Hsin Chang, 2022. "What Is the Link between Strategic Innovation and Organizational Sustainability? Historical Review and Bibliometric Analytics," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    2. Radhamany Sooryamoorthy, 2009. "Do types of collaboration change citation? Collaboration and citation patterns of South African science publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 177-193, October.

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