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 Hanna Wallach sits on this spectrum.
This scientist: 121 publications — 15th percentile
15% 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 Hanna Wallach sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Hanna Wallach is affiliated with Microsoft in the United States. Their research primarily concentrates in the field of Computer Science with a focus on Artificial Intelligence and Safety Research, alongside work in Cognitive Neuroscience, Management Information Systems, and Computer Vision and Pattern Recognition.
Wallach's scholarly output includes publications in notable venues such as arXiv (Cornell University), Proceedings of the ACM on Human-Computer Interaction, Communications of the ACM, the 2022 ACM Conference on Fairness, Accountability, and Transparency, and SSRN Electronic Journal. These venues reflect a strong engagement with both foundational and applied aspects of computer science research.
Their recent papers demonstrate a focus on ethical and social issues within AI, machine learning fairness, data documentation, and representational harms in technology. Key publications include:
Wallach's work covers several main topics, including:
They have collaborated frequently with several researchers, contributing to a network of scholarly partnerships that include Jennifer Wortman Vaughan, Solon Barocas, Alexandra Chouldechova, Angelina Wang, and Su Lin Blodgett.
Overall, Hanna Wallach's research engages deeply with the intersections of technology and society, focusing on fairness, transparency, and the social implications of AI systems.
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David Mimno;Hanna Wallach;Edmund Talley;Miriam Leenders
Hanna M. Wallach
Timnit Gebru;Jamie Morgenstern;Briana Vecchione;Jennifer Wortman Vaughan
Hanna M. Wallach;Iain Murray;Ruslan Salakhutdinov;David Mimno
Hanna M. Wallach;David M. Mimno;Andrew McCallum
Kenneth Holstein;Jennifer Wortman Vaughan;Hal Daumé;Miro Dudik
Su Lin Blodgett;Solon Barocas;Hal Daumé;Hanna M. Wallach
Forough Poursabzi-Sangdeh;Daniel G Goldstein;Jake M Hofman;Jennifer Wortman Wortman Vaughan
Timnit Gebru;Jamie Morgenstern;Briana Vecchione;Jennifer Wortman Vaughan
Hanna M Wallach
Harmanpreet Kaur;Harsha Nori;Samuel Jenkins;Rich Caruana
Alekh Agarwal;Alina Beygelzimer;Miroslav Dudík;John Langford
Ming Yin;Jennifer Wortman Vaughan;Hanna Wallach
David Mimno;Hanna M. Wallach;Jason Naradowsky;David A. Smith
Michael A. Madaio;Luke Stark;Jennifer Wortman Vaughan;Hanna Wallach
Ran Zmigrod;Sabrina J. Mielke;Hanna M. Wallach;Ryan Cotterell
Forough Poursabzi-Sangdeh;Daniel G. Goldstein;Jake M. Hofman;Jennifer Wortman Vaughan
Hanna Wallach
Hanna M. Wallach
Sarah Bird;Miro Dudík;Richard Edgar;Brandon Horn
Mark Dredze;Hanna M. Wallach;Danny Puller;Fernando Pereira
Alekh Agarwal;Alina Beygelzimer;Miroslav Dudík;John Langford
Su Lin Blodgett;Gilsinia Lopez;Alexandra Olteanu;Robert Sim
Edmund M Talley;David Newman;David Mimno;David Mimno;Bruce W Herr
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