ArticlePeerJ. Computer science2018
Comparison and benchmark of name-to-gender inference services.
Article in PeerJ. Computer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
114 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recruitment and Retention Strategies for Historically Marginalized Populations in Colorectal Cancer Trials: A Cross-Sectional Analysis Using Systematic Review Methods.Journal of gastrointestinal cancer · 2024Pooled it
- Underrepresentation of women in computer systems research.PloS one · 2022Trial
- Comment on, "Women in Japanese cardiovascular surgery: 21 years trends (2004-2025), current status and future perspectives".General thoracic and cardiovascular surgery · 2026Article
- Gender Authorship in Gastroenterology and Hepatology: Trends and Persistent Seniority Gaps.Journal of gastroenterology and hepatology · 2026Review
- Performance of name-to-gender inference: comparison between Gender API, NamSor, and genderize.io in a multicultural global dataset.Internal and emergency medicine · 2026Article
- Gender pay gaps in the social sciences.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Quantifying institutional gender inequality in contemporary visual art.Nature communications · 2026Article
- Trends in Women Authoring Editorials in Cardiothoracic Surgery Journals.Brazilian journal of cardiovascular surgery · 2026Article
- Incorporation of the National Institute of Health (NIH) sex as a biological variable policy by R01 grant awardees.Communications medicine · 2026Article
- The Power of Open Health Data: Impact, Representation, and Knowledge Diffusion.medRxiv : the preprint server for health sciences · 2026Article
- Research on eye health 2000-2019: a global bibliometric analysis with a focus on equity.BMJ open ophthalmology · 2026Article
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- Biomedical and life science articles by female researchers spend longer under review.PLoS biology · 2026Article
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- Gender Diversity of Research Teams and Clinical Trial Enrollment.JAMA network open · 2025Article
- Gender equality in leadership of HIV care cascade clinical trials: A methodological study.HIV medicine · 2025Article
- Global Trends and Cross-Country Differences in Authorship by Women in Academic Anaesthesiology Since 1996: A Repeated Cross-Sectional Analysis.Journal of clinical medicine · 2025Article
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54 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increased interest in analyzing and explaining gender inequalities in tech, media, and academia highlights the need for accurate inference methods to predict a person's gender from their name. Several such services exist that provide access to large databases of names, often enriched with information from social media profiles, culture-specific rules, and insights from sociolinguistics. We compare and benchmark five name-to-gender inference services by applying them to the classification of a test data set consisting of 7,076 manually labeled names. The compiled names are analyzed and characterized according to their geographical and cultural origin. We define a series of performance metrics to quantify various types of classification errors, and define a parameter tuning procedure to search for optimal values of the services' free parameters. Finally, we perform benchmarks of all services under study regarding several scenarios where a particular metric is to be optimized.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.