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 Michael Kearns sits on this spectrum.
This scientist: 227 publications — 56th percentile
56% 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 Michael Kearns sits on this spectrum.
This scientist: 79 D-Index — 92nd percentile
92% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Michael Kearns is affiliated with the University of Pennsylvania in the United States and primarily focuses on research in computer science, with a specialization in artificial intelligence. Their work spans several subfields including safety research, sociology and political science, information systems, and epidemiology.
The scientist's recent publications illustrate a diverse engagement with topics related to algorithms, privacy, and ethics. Some notable papers include:
Frequent coauthors collaborating with Michael Kearns include Aaron Roth, Zhiwei Steven Wu, Emily Diana, Ira Globus-Harris, and Alessandro Achille. The collaboration with these researchers reflects interdisciplinary efforts in areas related to their main topics of study.
Michael Kearns publishes regularly in venues such as arXiv (Cornell University), Proceedings of the National Academy of Sciences, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), the ACM Conference on Fairness, Accountability, and Transparency, and Perspectives on Science and Christian Faith.
Their research focuses on key topics within computer science including:
Over their career, Michael Kearns has received recognition such as the ACM Fellow award in 2014 for contributions to machine learning, artificial intelligence, algorithmic game theory, and computational social science. They were also named a Fellow of the American Academy of Arts and Sciences in 2012 and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2003, highlighting contributions to computational learning theory, reinforcement learning, stochastic planning, dialogue agents, and multi-agent systems.
Michael J. Kearns;Umesh V. Vazirani
Michael Kearns;Leslie Valiant
Michael Kearns
Michael Kearns;Satinder Singh
Michael Kearns;Yishay Mansour;Andrew Y. Ng
Michael Kearns;Dana Ron
Michael Kearns;Ming Li
Michael J. Kearns;Michael L. Littman;Satinder P. Singh
Michael J. Kearns;Robert E. Schapire
Michael J. Kearns;Robert E. Schapire;Linda M. Sellie
Michael Kearns;Yishay Mansour
S.A. Goldman;M.J. Kearns
Satinder Singh;Diane Litman;Michael Kearns;Marilyn Walker
Michael J. Kearns;Seth Neel;Aaron Roth;Zhiwei Steven Wu
Avrim Blum;Merrick L. Furst;Michael J. Kearns;Richard J. Lipton
M. Kearns;M. Li;L. Pitt;L. Valiant
Michael Kearns;Siddharth Suri;Nick Montfort
Satinder P. Singh;Michael J. Kearns;Yishay Mansour
Matthew Joseph;Michael Kearns;Jamie Morgenstern;Aaron Roth
Michael J. Kearns;Satinder P. Singh
Michael I. Jordan;Michael J. Kearns;Sara A. Solla
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If you’re considering studying Computer Science in the USA, there are several closely related online degrees and career pathways to explore. Interdisciplinary fields, such as environmental engineering, mechanical engineering, and physics, often intersect with computer science and open new opportunities for specialized careers.
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If your interest leans toward big data, you can follow a data science learning path and specialize in analytics, artificial intelligence, or machine learning. Each of these degrees and pathways complements computer science and could enhance your career prospects in the tech industry.
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