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Co-authorship pair distribution patterns by gender

Author

Listed:
  • Bulent Ozel

    (Istanbul Bilgi University
    Reykjavik University)

  • Hildrun Kretschmer

    (Dalian University of Technology
    COLLNET Center Borgsdorfer)

  • Theo Kretschmer

    (COLLNET Center Borgsdorfer)

Abstract

This paper examines impact of gender both on publication productivity and on patterns of scientific collaborations in social sciences in Turkey. The research is based on bibliographic data on national level publications in Turkey. It consists of 7,835 papers written by 6,738 scientists. The findings suggest that (1) there are gender differences at publication productivity, participation, presence and contribution; that (2) there are significantly different tendencies at keeping established co-authorship ties for inter-gender and intra-gender pairs; that (3) there are significant regularities exhibited by coauthor pairs based on each partner author’s publication productivity and findings further show that (4) regularities are different for inter-gender and intra-gender co-authorships. This study contributes to literature by exemplifying an integrated approach to better examine role of gender in scientific collaborations. In addition to descriptive social network analysis methods, it exploits and adopts parametric models from the literature: (1) Social Gestalt theory, a model based on bi-variate distributions of co-author pairs’ frequencies; (2) Lotka’s power law distribution on publication productivity of single authors; (3) Power law distributions of co-author pairs’ frequencies.

Suggested Citation

  • Bulent Ozel & Hildrun Kretschmer & Theo Kretschmer, 2014. "Co-authorship pair distribution patterns by gender," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 703-723, January.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:1:d:10.1007_s11192-013-1145-y
    DOI: 10.1007/s11192-013-1145-y
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    References listed on IDEAS

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    1. Hildrun Kretschmer & Ute Hoffmann & Theo Kretschmer, 2006. "Collaboration structures between German immunology institutions, and gender visibility, as reflected in the Web," Research Evaluation, Oxford University Press, vol. 15(2), pages 117-126, August.
    2. Hildrun Kretschmer & Ramesh Kundra & Donald deB. Beaver & Theo Kretschmer, 2012. "Gender bias in journals of gender studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 135-150, October.
    3. Steven A. Morris & Michel L. Goldstein, 2007. "Manifestation of research teams in journal literature: A growth model of papers, authors, collaboration, coauthorship, weak ties, and Lotka's law," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(12), pages 1764-1782, October.
    4. Kretschmer, Hildrun & Kretschmer, Theo, 2007. "Lotka's distribution and distribution of co-author pairs’ frequencies," Journal of Informetrics, Elsevier, vol. 1(4), pages 308-337.
    5. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
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    Cited by:

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    2. King, Molly M. & Frederickson, Megan, 2020. "The Pandemic Penalty: The gendered effects of COVID-19 on scientific productivity," SocArXiv 8hp7m, Center for Open Science.
    3. Loarne-Lemaire, Séverine Le & Bertrand, Gaël & Razgallah, Meriam & Maalaoui, Adnane & Kallmuenzer, Andreas, 2021. "Women in innovation processes as a solution to climate change: A systematic literature review and an agenda for future research," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    4. Clemens B. Fell & Cornelius J. König, 2016. "Is there a gender difference in scientific collaboration? A scientometric examination of co-authorships among industrial–organizational psychologists," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 113-141, July.
    5. Hildrun Kretschmer & Donald Beaver & Theo Kretschmer, 2015. "Three-dimensional visualization and animation of emerging patterns by the process of self-organization in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 87-120, July.
    6. Kretschmer, Hildrun & Beaver, Donald deB. & Ozel, Bulent & Kretschmer, Theo, 2015. "Who is collaborating with whom? Part I. Mathematical model and methods for empirical testing," Journal of Informetrics, Elsevier, vol. 9(2), pages 359-372.
    7. 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.
    8. Kretschmer, Hildrun & Beaver, Donald deB. & Ozel, Bulent & Kretschmer, Theo, 2015. "Who is collaborating with whom? Part II. Application of the methods to male and to female networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 373-384.
    9. Gita Ghiasi & Catherine Beaudry & Vincent Larivière & Carl St-Pierre & Andrea Schiffauerova & Matthew Harsh, 2021. "Who profits from the Canadian nanotechnology reward system? Implications for gender-responsible innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7937-7991, September.
    10. Shen, Hongquan & Xie, Juan & Ao, Weiyi & Cheng, Ying, 2022. "The continuity and citation impact of scientific collaboration with different gender composition," Journal of Informetrics, Elsevier, vol. 16(1).

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