Dan Jurafsky

Also affiliated with Stanford University

Computer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study”.

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

The Lancet Digital Health(2024)10.1016/s2589-7500(23)00225-x

N/A

0.909DataRank · unranked

427 citations

Eric Lehman, Mirac Suzgun, Jorge A. Rodriguez, Leo Anthony Celi, Judy Gichoya +9 more

Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare

medRxiv(2023)10.1101/2023.07.13.23292577

N/A

0.457DataRank · unranked

20 citations

Eric Lehman, Mirac Suzgun, Jorge A. Rodriguez, Leo Anthony Celi, Judy Gichoya +9 more

Assessing the accuracy of automatic speech recognition for psychotherapy

npj Digital Medicine(2020)10.1038/s41746-020-0285-8

N/A

0DataRank · unranked

69 citations

Albert Haque, Jason Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson +7 more