Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality

Alexander D. VanHelene, Ishaani Khatri, C. Beau Hilton, Sanjay Mishra, Ece D. Gamsiz Uzun, Jeremy L. Warner

Open source

DOI: 10.1371/journal.pdig.0000456
Published: 2024-10-29
Container: PLOS Digital Health
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pdig.0000456,
  title = {Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality},
  author = {Alexander D. VanHelene and Ishaani Khatri and C. Beau Hilton and Sanjay Mishra and Ece D. Gamsiz Uzun and Jeremy L. Warner},
  year = {2024},
  journal = {PLOS Digital Health},
  doi = {10.1371/journal.pdig.0000456},
  url = {https://doi.org/10.1371/journal.pdig.0000456}
}

RIS

TY  - JOUR
TI  - Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality
AU  - Alexander D. VanHelene
AU  - Ishaani Khatri
AU  - C. Beau Hilton
AU  - Sanjay Mishra
AU  - Ece D. Gamsiz Uzun
AU  - Jeremy L. Warner
PY  - 2024
JO  - PLOS Digital Health
DO  - 10.1371/journal.pdig.0000456
UR  - https://doi.org/10.1371/journal.pdig.0000456
ER  -

APA

VanHelene, A. D., Khatri, I., Hilton, C. B., Mishra, S., Uzun, E. D. G., & Warner, J. L. (2024). Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality. PLOS Digital Health. https://doi.org/10.1371/journal.pdig.0000456

Source records

crossref · retrieved 2026-09-27T16:34:07.452Z