IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v93y2012i1d10.1007_s11192-012-0658-0.html
   My bibliography  Save this article

Research evaluation. Part II: gender effects of evaluation: are men more productive and more cited than women?

Author

Listed:
  • Kretschmer Hildrun

    (University of Applied Sciences)

  • Pudovkin Alexander

    (Russian Academy of Sciences)

  • Stegmann Johannes

Abstract

Productivity and citedness of the staff of a German medical research institution are analyzed. It was found in our previous study (Pudovkin et al.: Scientometrics, doi: 10.1007/s11192-012-0659-z , 2012) that male scientists are more prolific and cited more often than female scientists. We explain in our present study one of the possible causes for obtaining this result with reference to Abramo et al. (Scientometrics 84(3): 821–833, 2009), who found in the small subgroups of star scientists a higher performance of male star scientists with respect to female star scientists; but in the remaining complementary subpopulations the performance gap between the two sexes is marginal. In agreement with Abramo et al. (2009), in our small subgroup of star scientists a higher performance of male star scientists with respect to female star scientists could be found. Contrasting, in the large complementary subgroup even a slightly higher performance of female scientists with respect to male scientists was identified. The last is even stronger expressed in favor of women than Abramo’s result that the performance gap between the two sexes is truly marginal. In addition to Abramo et al. (2009), we already found in our previous study, special indexes characterizing the quality of papers (but not quantity) are not substantially different among sexes compared.

Suggested Citation

  • Kretschmer Hildrun & Pudovkin Alexander & Stegmann Johannes, 2012. "Research evaluation. Part II: gender effects of evaluation: are men more productive and more cited than women?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 17-30, October.
  • Handle: RePEc:spr:scient:v:93:y:2012:i:1:d:10.1007_s11192-012-0658-0
    DOI: 10.1007/s11192-012-0658-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-012-0658-0
    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/s11192-012-0658-0?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. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. A. Pudovkin & H. Kretschmer & J. Stegmann & E. Garfield, 2012. "Research evaluation. Part I: productivity and citedness of a German medical research institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 3-16, October.
    3. Jacqueline Leta & Grant Lewison, 2003. "The contribution of women in Brazilian science: A case study in astronomy, immunology and oceanography," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 339-353, July.
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo & Alessandro Caprasecca, 2009. "The contribution of star scientists to overall sex differences in research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 137-156, October.
    5. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    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. Michael T. Henderson & Natalia Fijalkowski & Sean K. Wang & Mitch Maltenfort & Luo Luo Zheng & John Ratliff & Andrew A. Moshfeghi & Darius M. Moshfeghi, 2014. "Gender differences in compensation in academic medicine: the results from four neurological specialties within the University of California Healthcare System," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 297-306, July.
    2. Roberta Ruggieri & Fabrizio Pecoraro & Daniela Luzi, 2021. "An intersectional approach to analyse gender productivity and open access: a bibliometric analysis of the Italian National Research Council," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1647-1673, February.
    3. Nadeem Siddique & Shafiq Ur Rehman & Shakil Ahmad & Khalid Mahmood & Muhammad Ajmal Khan & Hafiz Muhammad Adil & Abid Iqbal & Asif Altaf, 2023. "Research Productivity of Pakistani Female LIS Authors, 1977 to 2020: A Bibliometric Analysis," SAGE Open, , vol. 13(4), pages 21582440231, November.
    4. Hamzehali Nourmohammadi & Fateme Hodaei, 2014. "Perspective of Iranian women’s scientific production in high priority fields of science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1455-1471, February.
    5. Frandsen, Tove Faber & Jacobsen, Rasmus Højbjerg & Wallin, Johan A. & Brixen, Kim & Ousager, Jakob, 2015. "Gender differences in scientific performance: A bibliometric matching analysis of Danish health sciences Graduates," Journal of Informetrics, Elsevier, vol. 9(4), pages 1007-1017.

    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. Hajar Sotudeh & Nahid Khoshian, 2014. "Gender differences in science: the case of scientific productivity in Nano Science & Technology during 2005–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 457-472, January.
    2. Perc, Matjaž, 2010. "Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example," Journal of Informetrics, Elsevier, vol. 4(3), pages 358-364.
    3. Lathabai, Hiran H., 2020. "ψ-index: A new overall productivity index for actors of science and technology," Journal of Informetrics, Elsevier, vol. 14(4).
    4. Parul Khurana & Kiran Sharma, 2022. "Impact of h-index on author’s rankings: an improvement to the h-index for lower-ranked authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4483-4498, August.
    5. Stefano Vannucci, 2010. "Dominance dimension: a common parametric formulation for integer-valued scientific impact indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 43-48, July.
    6. Yu Liu & Wei Zuo & Ying Gao & Yanhong Qiao, 2013. "Comprehensive geometrical interpretation of h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 605-615, August.
    7. Roberto Todeschini, 2011. "The j-index: a new bibliometric index and multivariate comparisons between other common indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 621-639, June.
    8. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2011. "Ranking patent assignee performance by h-index and shape descriptors," Journal of Informetrics, Elsevier, vol. 5(2), pages 303-312.
    9. 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.
    10. Giovanni Anania & Annarosa Caruso, 2013. "Two simple new bibliometric indexes to better evaluate research in disciplines where publications typically receive less citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 617-631, August.
    11. Chen, Meiqian & Guo, Zhaoxia & Dong, Yucheng & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes," Journal of Informetrics, Elsevier, vol. 15(4).
    12. J. W. Fedderke, 2013. "The objectivity of national research foundation peer review in South Africa assessed against bibliometric indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 177-206, November.
    13. Wei, Shelia X. & Tong, Tong & Rousseau, Ronald & Wang, Wanru & Ye, Fred Y., 2022. "Relations among the h-, g-, ψ-, and p-index and offset-ability," Journal of Informetrics, Elsevier, vol. 16(4).
    14. Muhammad Usman & Ghulam Mustafa & Muhammad Tanvir Afzal, 2021. "Ranking of author assessment parameters using Logistic Regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 335-353, January.
    15. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    16. Wai Ching Poon & Gareth D. Leeves, 2017. "Is there gender gap unequivocally? Evidence from research output 1958–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1687-1701, June.
    17. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    18. Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
    19. Hildrun Kretschmer & Theo Kretschmer, 2013. "Gender bias and explanation models for the phenomenon of women’s discriminations in research careers," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 25-36, October.
    20. Anand Bihari & Sudhakar Tripathi & Akshay Deepak, 2021. "Iterative weighted EM and iterative weighted EM′-index for scientific assessment of scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5551-5568, July.

    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:93:y:2012:i:1:d:10.1007_s11192-012-0658-0. 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.