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Modelling the Growth of Literature in the Area of Theoretical Population Genetics

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  • B. M. Gupta

    (National Institute of Science, Technology and Development Studies)

  • C. R. Karisiddappa

    (Karnatak University, Dharwad)

Abstract

Different approaches are introduced for studying the growth of scientific knowledge, as reflected through publications and authors. Selected growth models are applied to the cumulated growth of publications and authors in theoretical population genetics from 1907 to 1980. The criteria are studied on which growth models are to be selected for their possible application in the growth of literature. It is concluded that the power model is observed to be the only model among the models studied which best explains the cumulative growth of publication and author counts in the theoretical population genetics.

Suggested Citation

  • B. M. Gupta & C. R. Karisiddappa, 2000. "Modelling the Growth of Literature in the Area of Theoretical Population Genetics," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(2), pages 321-355, October.
    • Handle: RePEc:spr:scient:v:49:y:2000:i:2:d:10.1023_a:1010577321082
    DOI: 10.1023/A:1010577321082
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    Cited by:

    1. Yu-Chun Chen & Hsiao-Yun Yeh & Jau-Ching Wu & Ingo Haschler & Tzeng-Ji Chen & Thomas Wetter, 2011. "Taiwan’s National Health Insurance Research Database: administrative health care database as study object in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 365-380, February.
    2. Jens Peter Andersen & Björn Hammarfelt, 2011. "Price revisited: on the growth of dissertations in eight research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 371-383, August.
    3. Marco Campani & Ruggero Vaglio, 2015. "A simple interpretation of the growth of scientific/technological research impact leading to hype-type evolution curves," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 75-83, April.
    4. Marek Szydłowski & Adam Krawiec, 2009. "Growth cycles of knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 99-111, January.
    5. Antonio Fernández-Cano & Elvira Curiel-Marin & Manuel Torralbo-Rodríguez & Mónica Vallejo-Ruiz, 2018. "Questioning the Shanghai Ranking methodology as a tool for the evaluation of universities: an integrative review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2069-2083, September.
    6. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2004. "Reconsidering Price's model of scientific growth: An overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 301-321, November.

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