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Predicting the future impact of Computer Science researchers: Is there a gender bias?
16 references·2 citing·46 second hop
Predicting the future impact of Computer Science researchers: Is there a gender bias? (2022)Predicting the future impact of Computer …Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Expectations of brilliance underlie gender distributions across academic disciplines (2015)Expectations of brilliance un…Bibliometrics: The Leiden Manifesto for research metrics (2015)Bibliometrics: The Leiden Man…Women in Academic Science (2014)Women in Academic ScienceBig Data's Disparate Impact (2014)Big Data's Disparate ImpactWomen, Minorities, and Persons with Disabilities in Science and Engineering: 2013 (2013)Women, Minorities, and Person…Bibliometrics: Global gender disparities in science (2013)Bibliometrics: Global gender …Science faculty’s subtle gender biases favor male students (2012)Science faculty’s subtle gend…Gender stereotypes and workplace bias (2012)Gender stereotypes and workpl…Fairness through awareness (2012)Fairness through awarenessAn index to quantify an individual's scientific research output (2005)An index to quantify an indiv…Math = male, me = female, therefore math ≠ me. (2002)Math = male, me = female, the…Nepotism and sexism in peer-review (1997)Nepotism and sexism in peer-r…Science and Engineering Indicators (1993)Science and Engineering Indic…Statistical Theories of Discrimination in Labor Markets (1977)Statistical Theories of Discr…The Matthew Effect in Science (1968)The Matthew Effect in ScienceCoping with the Inequity and Inefficiency of the H-Index: A Cross-Disciplinary Empirical Analysis (2024)Coping with the Inequity and …An editorial of “AI + informetrics”: multi-disciplinary interactions in the era of big data (2022)An editorial of “AI + informe…Men and Women of the Corporation. (1978)Role congruity theory of prejudice toward female leaders. (2002)Handbook of Social Psychology (2013)A meta-analysis of gender stereotypes and bias in experimental simulations of employment decision making. (2014)The Times They Are a-Changing … or Are They Not? A Comparison of Gender Stereotypes, 1983–2014 (2016)The Multiple Dimensions of Gender Stereotypes: A Current Look at Men’s and Women’s Characterizations of Others and Themselves (2019)Understanding current causes of women's underrepresentation in science (2011)The Role of Gender in Scholarly Authorship (2013)Science of science (2018)Gender inequality and restrictive gender norms: framing the challenges to health (2019)Historical comparison of gender inequality in scientific careers across countries and disciplines (2020)Why the impact factor of journals should not be used for evaluating research (1997)The History and Meaning of the Journal Impact Factor (2006)The bibliometric analysis of scholarly production: How great is the impact? (2015)Science Mapping: A Systematic Review of the Literature (2017)Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021)Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Stretched exponential distributions in nature and economy: “fat tails” with characteristic scales (1998)ArXiv.org e-print archive (2004)Sleeping Beauties in science (2004)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Self-efficacy mechanism in human agency. (1982)Stereotypes and prejudice: Their automatic and controlled components. (1989)False-Positive Psychology (2011)The Gender Wage Gap: Extent, Trends, and Explanations (2017)Equality of Opportunity in Supervised Learning (2016)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Model Cards for Model Reporting (2019)Gaydar: Facebook friendships expose sexual orientation (2009)Three naive Bayes approaches for discrimination-free classification (2010)Private traits and attributes are predictable from digital records of human behavior (2013)The ethics of algorithms: Mapping the debate (2016)The Social System (1951)Little Science, Big Science (1963)Matthew Effects in Reading: Some Consequences of Individual Differences in the Acquisition of Literacy (1986)Power laws, Pareto distributions and Zipf's law (2005)The Increasing Dominance of Teams in Production of Knowledge (2007)Communication And Persuasion (2017)Harvesting implicit group attitudes and beliefs from a demonstration web site. (2002)Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math (2020)
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References

  • 2005An index to quantify an individual's scientific research output12,131 cited
  • 1968The Matthew Effect in Science7,959 cited
  • 2012Fairness through awareness3,545 cited
  • 2012Science faculty’s subtle gender biases favor male students3,373 cited
  • 2015Bibliometrics: The Leiden Manifesto for research metrics3,281 cited
  • 2014Big Data's Disparate Impact3,281 cited
  • 2013Women, Minorities, and Persons with Disabilities in Science and Engineering: 20132,494 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2012Gender stereotypes and workplace bias1,840 cited
  • 2013Bibliometrics: Global gender disparities in science1,686 cited
  • 2015Expectations of brilliance underlie gender distributions across academic disciplines1,647 cited
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  • 1977Statistical Theories of Discrimination in Labor Markets1,498 cited
  • 1997Nepotism and sexism in peer-review1,347 cited
  • 2014Women in Academic Science1,116 cited
  • 2002Math = male, me = female, therefore math ≠ me.

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  • 2022An editorial of “AI + informetrics”: multi-disciplinary interactions in the era of big data9 cited
  • 2024Coping with the Inequity and Inefficiency of the H-Index: A Cross-Disciplinary Empirical Analysis5 cited