The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Margaret Mitchell sits on this spectrum.
This scientist: 89 publications — 5th percentile
5% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Margaret Mitchell sits on this spectrum.
This scientist: 49 D-Index — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Margaret Mitchell is affiliated with Hugging Face in the United States, contributing to research primarily within the domain of computer science. Their scholarly output spans 30 publications in this field, with a focus on several specialized subfields and topics.
The main subfields of study include artificial intelligence, safety research, computer vision and pattern recognition, information systems, and general health professions. The scientist's work commonly addresses themes such as topic modeling, ethics and social impacts of AI, natural language processing techniques, machine learning and data classification, explainable artificial intelligence (XAI), face recognition and analysis, and medical malpractice and liability issues.
Margaret Mitchell has authored or contributed to multiple research papers, including:
Their frequent co-authors include Alexandra Sasha Luccioni, Yacine Jernite, Jesse Dodge, Giada Pistilli, and Christopher Akiki. This network of collaborators reflects an active engagement with various researchers in the computational and AI research communities.
Margaret Mitchell's work has been published predominantly in venues such as arXiv (Cornell University), the Proceedings of the AAAI/ACM Conference on AI Ethics and Society, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), the 2022 ACM Conference on Fairness, Accountability, and Transparency, and the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Among these venues, the largest number of publications have appeared on arXiv.
Stanislaw Antol;Aishwarya Agrawal;Jiasen Lu;Margaret Mitchell
Margaret Mitchell;Simone Wu;Andrew Zaldivar;Parker Barnes
Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell
Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava
Unknown
Brian Hu Zhang;Blake Lemoine;Margaret Mitchell
Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett
Inioluwa Deborah Raji;Andrew Smart;Rebecca N. White;Margaret Mitchell
Margaret Mitchell;Jesse Dodge;Amit Goyal;Kota Yamaguchi
Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell
B. Roark;M. Mitchell;J. Hosom;K. Hollingshead
Ting-Hao Kenneth Huang;Francis Ferraro;Nasrin Mostafazadeh;Ishan Misra
Ben Hutchinson;Margaret Mitchell
Nasrin Mostafazadeh;Ishan Misra;Jacob Devlin;Margaret Mitchell
Glen Coppersmith;Mark Dredze;Craig Harman;Kristy Hollingshead
Inioluwa Deborah Raji;Timnit Gebru;Margaret Mitchell;Joy Buolamwini
Jacob Devlin;Hao Cheng;Hao Fang;Saurabh Gupta
Ben Hutchinson;Andrew Smart;Alex Hanna;Emily Denton
Jacob Devlin;Saurabh Gupta;Ross B. Girshick;Margaret Mitchell
Ishan Misra;C. Lawrence Zitnick;Margaret Mitchell;Ross Girshick
Margaret Mitchell;Jacqui Aguilar;Theresa Wilson;Benjamin Van Durme
Ting-Hao;Huang;Francis Ferraro;Nasrin Mostafazadeh
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