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A comparision of productivity of male and female scientists of CSIR

Author

Listed:
  • B. M. Gupta

    (National Institute of Science, Technology & Development Studies (CSIR))

  • Suresh Kumar

    (National Institute of Science, Technology & Development Studies (CSIR))

  • B. S. Aggarwal

    (National Institute of Science Communication (CSIR))

Abstract

The paper examines the scientific productivity of male and female scientistts working in the Council of Scientific and Industrial Research (CSIR), India at the overall agency level and at the group of laboratories level, characterized by three broad subjects of physical, biological, and engineering sciences. The productivity of scientists is evaluated on the basis of three parameters: the extent of scientists not publishing any paper, the average number of papers per scientist, and using Lotka's approach. In order to find out whether there is any significant difference between male and female productivity distributions, a Chi-square test is used. Studies the applicability of Lotka's inverse power law and some other statistical models in the distribution of scientific productivity of male and female scientists. Concludes that no significant difference exists between productivity distributions of male and female scientists.

Suggested Citation

  • B. M. Gupta & Suresh Kumar & B. S. Aggarwal, 1999. "A comparision of productivity of male and female scientists of CSIR," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(2), pages 269-289, June.
    • Handle: RePEc:spr:scient:v:45:y:1999:i:2:d:10.1007_bf02458437
    DOI: 10.1007/BF02458437
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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.
    2. 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.
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    Cited by:

    1. Vicente P. Guerrero-Bote & Rocío Gómez-Crisóstomo & Luz María Romo-Fernández & Félix Moya-Anegón, 2009. "Visibility and responsibility of women in research papers through the order of signatures: the case of the University of Extremadura, 1990–2005," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 225-238, October.
    2. K. C. Garg & S. Kumar, 2014. "Scientometric profile of Indian scientific output in life sciences with a focus on the contributions of women scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1771-1783, March.
    3. Namrata Gupta, 2016. "Perceptions of the Work Environment: The Issue of Gender in Indian Scientific Research Institutes," Indian Journal of Gender Studies, Centre for Women's Development Studies, vol. 23(3), pages 437-466, October.
    4. Ali Uzun, 2002. "Productivity ratings of institutions based on publication in Scientometrics, Informetrics, and Bibliometrics, 1981–2000," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 297-307, March.
    5. Carlo Caputo & Jaime Requena & Domingo Vargas, 2012. "Life sciences research in Venezuela," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 781-805, March.
    6. Kristof Witte & Nicky Rogge, 2010. "To publish or not to publish? On the aggregation and drivers of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 657-680, December.
    7. Katarina Prpić, 2002. "Gender and productivity differentials in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 27-58, September.
    8. Frode Eika Sandnes, 2018. "Do Norwegian academics who publish more earn higher salaries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 263-281, April.
    9. Timur Narbaev & Diana Amirbekova, 2021. "Research Productivity in Emerging Economies: Empirical Evidence from Kazakhstan," Publications, MDPI, vol. 9(4), pages 1-19, November.
    10. Thu-Trang Vuong & Hong Kong T. Nguyen & Tung Manh Ho & Toan Manh Ho & Quan-Hoang Vuong, 2017. "The (In)Significance of Socio-Demographic Factors as Possible Determinants of Vietnamese Social Scientists’ Contribution-Adjusted Productivity: Preliminary Results from 2008–2017 Scopus Data," Societies, MDPI, vol. 8(1), pages 1-16, December.
    11. Varsha Singh, 2018. "Comparing research productivity of returnee-PhDs in science, engineering, and the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1241-1252, June.
    12. Rebecca Long & Aleta Crawford & Michael White & Kimberly Davis, 2009. "Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 231-260, February.

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