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Levin, Sharon G.; Stephan, Paula E.

doi:10.1023/a:1018882711314

Cited by 48 publications

(6 citation statements)

References 28 publications

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“…A major part of the gender studies in the S&T field have looked at the scientific and technological productivity gap (Cole and Cole, 1973;Cole and Zuckerman, 1984;Fox, 2005;Levin and Stephan, 1998;Zuckerman, 1987Zuckerman, , 2001. In particular, their lower position in the academic hierarchy seems to explain in part the observed lower productivity (Long, 2001;Xie and Shauman, 1998).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Gender attributed PCT data can also be used to contribute to studies analyzing the gender productivity gap (Cole and Cole, 1973;Cole and Zuckerman, 1984;Fox, 2005;Levin and Stephan, 1998;Zuckerman, 1987Zuckerman, , 2001. This will require name disambiguation of inventors and the use of patent citations, as performed in previous studies (see Raffo and Lhuillery, 2009;and, Hall et al, 2001).…”

Section: Other Gender Indicators Based On Patent Datamentioning

confidence: 99%

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Identifying the gender of PCT inventors

2023

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Section: Literature Reviewmentioning

confidence: 99%

Section: Other Gender Indicators Based On Patent Datamentioning

confidence: 99%

Identifying the gender of PCT inventors

2023

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“…At the same time they are the 7% and 6% of the French PRs and Italian POs. The literature typically indicates that women publish less than men (Levin and Stephan, 1998 . We expect the probability to be recruited or promoted to be field-specific for two reasons.…”

Section: The Determinants Of Promotion and Scientific Productivitymentioning

confidence: 99%

Scientific Productivity and Academic Promotion: A Study on French and Italian Physicists

Lissoni¹,

Mairesse²,

Montobbio³

et al. 2010

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The paper examines the determinants of scientific productivity (number of articles and journals' impact factor) for a panel of about 3600 French and Italian academic physicists active in 2004-05. Endogeneity problems concerning promotion and productivity are addressed by specifying a generalized Tobit model, in which a selection probit equation accounts for the individual scientist's probability of promotion to her present rank, and a productivity regression estimates the effects of age, gender, cohort of entry, and collaboration characteristics, conditional on the scientist's rank. We find that the size and international nature of collaborative projects and co-authors'' past productivity have very significant impacts on current productivity, while age and gender, and past productivity are also influential determinants of both productivity and probability of promotion.Furthermore we show that the stop-and-go policies of recruitment and promotion, typical of the Italian and French centralized academic systems of governance, can leave significant long-lasting cohort effects on research productivity.

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“…Real hires show a higher success rate among women (Ceci et al, 2014;Glass & Minnotte, 2010;National Research Council, 2009;Wolfinger, Mason, & Goulden, 2008), especially in those STEM fields where women are less represented (Ceci et al, 2014). Bibliometric attempts to recognize higher merit (Ceci et al, 2014) found that male faculty members write more papers (Abramo, D'Angelo, & Caprasecca, 2009a;Fox, 2005;Larivière, Ni et al, 2013;Levin & Stephan, 1998;Way, Larremore, & Clauset, 2016;Xie & Shauman, 1998) (see also Holman, Stuart-Fox et al [2018] and Thelwall [2018]), predominate among first and last authors (prestigious in some fields) and in single-authored papers (Jagsi, Guancial et al, 2006;West, Jacquet et al, 2013). Such gender productivity gap persists after accounting for confounding factors such as seniority (Caplar, Tacchella, & Birrer, 2017;Ceci et al, 2014;Moldwin & Liemohn, 2018).…”

Section: Introductionmentioning

confidence: 99%

Gender issues in fundamental physics: A bibliometric analysis

Струмиа¹

2021

Quantitative Science Studies

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I analyze bibliometric data about fundamental physics worldwide from 1970 to now, extracting quantitative data about gender issues. I do not find significant gender differences in hiring rates, hiring timing, career gaps and slowdowns, abandonment rates, citation, and self-citation patterns. Furthermore, various bibliometric indicators (number of fractionally counted papers, citations, etc.) exhibit a productivity gap at hiring moments, at career level, and without integrating over careers. The gap persists after accounting for confounding factors and manifests as an increasing fraction of male authors going from average to top authors in terms of bibliometric indices, with a quantitative shape that can be fitted by higher male variability.

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Untitled

Cited by 48 publications

References 28 publications

Identifying the gender of PCT inventors

Identifying the gender of PCT inventors

Scientific Productivity and Academic Promotion: A Study on French and Italian Physicists

Gender issues in fundamental physics: A bibliometric analysis

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