Authors:
Hildrun Kretschmer Faculty of Business Administration/Business Computing, University of Applied Sciences, Bahnhofstrasse, 15745, Wildau, Germany
COLLNET Center, Borgsdorfer Str. 5, 16540, Hohen Neuendorf, Germany

Search for other papers by Hildrun Kretschmer in
Current site
Google Scholar
PubMed
Close
,
Ramesh Kundra Gurgaon, India; r_kundra@yahoo.com

Search for other papers by Ramesh Kundra in
Current site
Google Scholar
PubMed
Close
,
Donald deB. Beaver Williams College, 117 Bronfman Science Center, 18 Hoxsey St., Williamstown, MA, 01267, USA; dbeaver@williams.edu

Search for other papers by Donald deB. Beaver in
Current site
Google Scholar
PubMed
Close
, and
Theo Kretschmer COLLNET Center, Borgsdorfer Str. 5, 16540, Hohen Neuendorf, Germany

Search for other papers by Theo Kretschmer in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The causes of gender bias favoring men in scientific and scholarly systems are complex and related to overall gender relationships in most of the countries of the world. An as yet unanswered question is whether in research publication gender bias is equally distributed over scientific disciplines and fields or if that bias reflects a closer relation to the subject matter. We expected less gender bias with respect to subject matter, and so analysed 14 journals of gender studies using several methods and indicators. The results confirm our expectation: the very high position of women in co-operation is striking; female scientists are relatively overrepresented as first authors in articles. Collaboration behaviour in gender studies differs from that of authors in PNAS. The pattern of gender studies reflects associations between authors of different productivity, or “masters” and “apprentices” but the PNAS pattern reflects associations between authors of roughly the same productivity, or “peers”. It would be interesting to extend the analysis of these three-dimensional collaboration patterns further, to see whether a similar characterization holds, what it might imply about the patterns of authorship in different areas, what those patterns might imply about the role of collaboration, and whether there are differences between females and males in collaboration patterns.

  • Hanning, G, Kretschmer, H, Liu, Z. Distribution of co-author pairs ‘frequencies of the Journal of Information Technology. COLLNET Journal of Scientometrics and Information Management 2008 2 1 7381.

    • Search Google Scholar
    • Export Citation
  • Kretschmer, H. Similarities and dissimilarities in co-authorship networks; gestalt theory as explanation for well-ordered collaboration structures and production of scientific literature. Library Trends 2002 50 3 474497.

    • Search Google Scholar
    • Export Citation
  • Kretschmer, H, Aguillo, IF. Visibility of collaboration on the Web. Scientometrics 2004 61 3 405426 .

  • Kretschmer, H, Kretschmer, T. Lotka's distribution and distribution of co-author Pairs’ frequencies. Journal of Informetrics 2007 1:308337 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kretschmer, H., & Kretschmer, T. (2009). Invited keynote speech. Who is collaborating with whom? Explanation of a fundamental principle. In: H. Hou, B. Wang, S. Liu, Z. Hu, X. Zhang, M. Li (eds.), Proceedings of the 5th International Conference on Webometrics, Informetrics and Scientometrics and 10th COLLNET Meeting, 13–16 September 2009, Dalian, China (CD-ROM for all participants and for libraries).

    • Search Google Scholar
    • Export Citation
  • Kundra, R, Beaver, D, Kretschmer, H, Kretschmer, T. Co- author pairs’ frequencies distribution in journals of gender studies. COLLNET Journal of Scientometrics and Information Management 2008 2 1 6371.

    • Search Google Scholar
    • Export Citation
  • Naldi, F., Parenti, I.V. (2002). Scientific and technological performance by gender: a feasibility study on patent and bibliometric indicators. Vol. II: methodological report. European Commission Research, EUR 20309.

    • Search Google Scholar
    • Export Citation
  • Naldi, F, Luzi, D, Valente, A, Parenti, IV 2004 Scientific and technological performance by gender HF Moed eds. et al. Handbook of quantitative science and technology research Kluwer Academic Publishers The Netherlands 299314.

    • Search Google Scholar
    • Export Citation
  • Newman, M. E. J. (2002). Assortative mixing in networks. Physical Review Letters, 89, 208701.

  • Newman, MEJ. Power laws, pareto distributions and Zipf's law. Contemporary Physics 2005 46 5 323351 .

  • Otte, E, Rousseau, R. Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science 2002 28:443455 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pepe, A, Marko, AR. Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns. Scientometrics 2009 84 3 687701 This article is published with open access at Springerlink.com.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Price, D. de Solla (1963). Little science, big science. New York: Columbia University Press.

  • Wasserman, S, Faust, K 1994 Social network analysis. Methods and applications Cambridge University Press Cambridge 1994 .

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript submission: http://www.editorialmanager.com/scim/

For subscription options, please visit the website of Springer Nature.

Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Nov 2024 90 1 0
Dec 2024 37 1 1
Jan 2025 75 0 0
Feb 2025 86 0 0
Mar 2025 71 0 0
Apr 2025 36 0 0
May 2025 5 0 0