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Gender-Related Differences in the Citation Impact of Scientific Publications and Improving the Authors’ Productivity

Author

Listed:
  • Oleksandr Kuchanskyi

    (Department of Information Systems and Technology, Taras Shevchenko National University of Kyiv, 01601 Kyiv, Ukraine)

  • Yurii Andrashko

    (Department of System Analysis and Optimization Theory, Uzhhorod National University, 88000 Uzhhorod, Ukraine)

  • Andrii Biloshchytskyi

    (University Administration, Astana IT University, Astana 010000, Kazakhstan
    Department of Information Technology, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine)

  • Serik Omirbayev

    (University Administration, Astana IT University, Astana 010000, Kazakhstan)

  • Aidos Mukhatayev

    (Center Administration, Northern Education Development National Center, Astana 010000, Kazakhstan
    Department of Science and Innovation, Astana IT University, Astana 010000, Kazakhstan)

  • Svitlana Biloshchytska

    (Department of Information Technology, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine
    Department of Computational and Data Science, Astana IT University, Astana 010000, Kazakhstan)

  • Adil Faizullin

    (University Administration, Astana IT University, Astana 010000, Kazakhstan)

Abstract

The article’s purpose is an analysis of the citation impact of scientific publications by authors of different gender compositions. The page method was chosen to calculate the citation impact of scientific publications, and the obtained results allowed to estimate the impact of the scientific publications based on the number of citations. The normalized citation impact is calculated according to nine subsets of scientific publications that correspond to patterns of different gender compositions of authors. Also, these estimates were calculated for each country with which the authors of the publications are affiliated. The Citation database, Network Dataset (Ver. 13), was chosen for the scientometric analysis. The dataset includes more than 5 million scientific publications and 48 million citations. Most of the publications in the dataset are from the STEM field. The results indicate that articles with a predominantly male composition are cited more than articles with a mixed or female composition of authors in this direction. Analysis of advantages in dynamics indicates that in the last decade, in developed countries, there has been a decrease in the connection between the citation impact of scientific publications and the gender composition of their authors. However, the obtained results still confirm the presence of gender inequality in science, which may be related to socioeconomic and cultural characteristics, natural homophily, and other factors that contribute to the appearance of gender gaps. An essential consequence of overcoming these gaps, including in science, is ensuring the rights of people in all their diversity.

Suggested Citation

  • Oleksandr Kuchanskyi & Yurii Andrashko & Andrii Biloshchytskyi & Serik Omirbayev & Aidos Mukhatayev & Svitlana Biloshchytska & Adil Faizullin, 2023. "Gender-Related Differences in the Citation Impact of Scientific Publications and Improving the Authors’ Productivity," Publications, MDPI, vol. 11(3), pages 1-24, July.
    • Handle: RePEc:gam:jpubli:v:11:y:2023:i:3:p:37-:d:1191583
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    References listed on IDEAS

    as
    1. Abdelghani Maddi & Yves Gingras, 2021. "Gender Diversity In Research Teams And Citation Impact In Economics And Management," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1381-1404, December.
    2. Pleun Arensbergen & Inge van der Weijden & Peter Besselaar, 2012. "Gender differences in scientific productivity: a persisting phenomenon?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 857-868, December.
    3. Alexander Kuchansky & Andrii Biloshchytskyi & Yurii Andrashko & Svitlana Biloshchytska & Adil Faizullin, 2022. "The Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity," Publications, MDPI, vol. 10(4), pages 1-17, October.
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