IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v45y1999i2d10.1007_bf02458437.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/BF02458437
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/BF02458437?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. Katarina Prpić, 2002. "Gender and productivity differentials in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 27-58, September.
    5. Frode Eika Sandnes, 2018. "Do Norwegian academics who publish more earn higher salaries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 263-281, April.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Carlo Caputo & Jaime Requena & Domingo Vargas, 2012. "Life sciences research in Venezuela," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 781-805, March.
    11. Timur Narbaev & Diana Amirbekova, 2021. "Research Productivity in Emerging Economies: Empirical Evidence from Kazakhstan," Publications, MDPI, vol. 9(4), pages 1-19, November.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baskaran, Thushyanthan & Blöchl, Florian & Brück, Tilman & Theis, Fabian J., 2011. "The Heckscher-Ohlin model and the network structure of international trade," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 135-145, April.
    2. Leo Egghe & Ronald Rousseau, 2012. "Theory and practice of the shifted Lotka function," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 295-301, April.
    3. Bertoli-Barsotti, Lucio & Lando, Tommaso, 2015. "On a formula for the h-index," Journal of Informetrics, Elsevier, vol. 9(4), pages 762-776.
    4. Ronald Rousseau, 2002. "Lack of standardisation in informetric research. Comments on “Power laws of research output. Evidence for journals of economics” by Matthias Sutter and Martin G. Kocher," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 317-327, August.
    5. Hongguang Dong & Menghui Li & Ru Liu & Chensheng Wu & Jinshan Wu, 2017. "Allometric scaling in scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 583-594, July.
    6. 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.
    7. 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.
    8. Mikhail Chebunin & Artyom Kovalevskii, 2019. "Asymptotically Normal Estimators for Zipf’s Law," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(2), pages 482-492, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:45:y:1999:i:2:d:10.1007_bf02458437. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.