Systemic gendered citation imbalance in computer science: evidence from conferences and journals.

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Title: Systemic gendered citation imbalance in computer science: evidence from conferences and journals.
Authors: Nakajima, Kazuki1 (AUTHOR) nakajima@tmu.ac.jp, Sasaki, Yuya2 (AUTHOR) sasaki@ist.osaka-u.ac.jp, Tokuno, Sohei3 (AUTHOR), Fletcher, George4 (AUTHOR)
Source: Scientometrics. Apr2026, Vol. 131 Issue 4, p2049-2077. 29p.
Subjects: Bibliographical citations, Conference papers, Periodical articles, Computer science, Educational equalization, Gender inequality, STEM occupations
Abstract: Gender imbalance persists across science, technology, engineering, and mathematics (STEM) fields, including computer science, where it appears in researcher demographics, productivity, recognition, hiring, and career progression. Given computer science's rapid expansion and global influence, addressing this imbalance is essential for broadening participation and fueling innovation. Although journal-oriented disciplines exhibit consistent gender imbalances in citation practices, it remains unclear whether similar patterns arise in the conference-centric culture of computer science. Here, we systematically investigate gender imbalance in citations of conference and journal papers in computer science. We find that papers with a woman as first or last author receive fewer citations than expected, partly because of homophilic citation tendencies (i.e., authors tend to cite papers that share specific attributes). This imbalance is especially pronounced for conference papers–particularly those published at top-tier venues–relative to journals. Moreover, we find that the prominence of the first or last author and the structure of their local co-authorship networks are potential drivers of these imbalances. By exploring how conference-centric publishing practices can amplify systemic imbalances in computer science, our study offers insights that may inform efforts to foster more equitable representation in academia. [ABSTRACT FROM AUTHOR]
Copyright of Scientometrics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Bibliographical+citations%22">Bibliographical citations</searchLink><br /><searchLink fieldCode="DE" term="%22Conference+papers%22">Conference papers</searchLink><br /><searchLink fieldCode="DE" term="%22Periodical+articles%22">Periodical articles</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+equalization%22">Educational equalization</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+inequality%22">Gender inequality</searchLink><br /><searchLink fieldCode="DE" term="%22STEM+occupations%22">STEM occupations</searchLink>
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  Data: Gender imbalance persists across science, technology, engineering, and mathematics (STEM) fields, including computer science, where it appears in researcher demographics, productivity, recognition, hiring, and career progression. Given computer science's rapid expansion and global influence, addressing this imbalance is essential for broadening participation and fueling innovation. Although journal-oriented disciplines exhibit consistent gender imbalances in citation practices, it remains unclear whether similar patterns arise in the conference-centric culture of computer science. Here, we systematically investigate gender imbalance in citations of conference and journal papers in computer science. We find that papers with a woman as first or last author receive fewer citations than expected, partly because of homophilic citation tendencies (i.e., authors tend to cite papers that share specific attributes). This imbalance is especially pronounced for conference papers–particularly those published at top-tier venues–relative to journals. Moreover, we find that the prominence of the first or last author and the structure of their local co-authorship networks are potential drivers of these imbalances. By exploring how conference-centric publishing practices can amplify systemic imbalances in computer science, our study offers insights that may inform efforts to foster more equitable representation in academia. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Scientometrics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11192-026-05595-0
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        Text: English
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      – SubjectFull: Periodical articles
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      – SubjectFull: Computer science
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      – SubjectFull: Educational equalization
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      – SubjectFull: STEM occupations
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              Text: Apr2026
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