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Scientific productivity of authors in theoretical population genetics

Author

Listed:
  • Suresh Kumar

    (Technology and Development Studies)

  • B.M. Gupta

    (Technology and Development Studies)

  • C. R. Karisiddappa

    (Karnatak University)

Abstract

The study analyses the distribution of productivity of authors in theoretical population genetics (TPG) as reflected in their publication output from 1881 to 1980 from two different approaches. The internal dynamics of TPG specialty affecting the distribution of the productivity of authors is studied using time cross-sectional type of approach. Here the productivity distribution of authors in 10 time-year blocks and in three phases of the development (1921-50, 1951-65 and 1966-80) of TPG is studied using cohort type of approach. The extent of cumulative advantage acquired by the prolific group of authors over time in TPG is also studied. The paper also analyzes the regularity in the distribution of productivity of various cohorts, having same length of activity, but different periods of participation.

Suggested Citation

  • Suresh Kumar & B.M. Gupta & C. R. Karisiddappa, 2002. "Scientific productivity of authors in theoretical population genetics," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 73-93, January.
    • Handle: RePEc:spr:scient:v:53:y:2002:i:1:d:10.1023_a:1014883904242
    DOI: 10.1023/A:1014883904242
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    References listed on IDEAS

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    1. I. K. Ravichandra Rao, 1980. "The distribution of scientific productivity and social change," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 31(2), pages 111-122, March.
    2. Henry Voos, 1974. "Lotka and information science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 25(4), pages 270-272, July.
    3. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
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