Michael Kearns

138 papers and 6.7k indexed citations i.

About

Michael Kearns is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Michael Kearns has authored 138 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 42 papers in Management Science and Operations Research and 20 papers in Computational Theory and Mathematics. Recurrent topics in Michael Kearns’s work include Machine Learning and Algorithms (53 papers), Game Theory and Applications (20 papers) and Reinforcement Learning in Robotics (17 papers). Michael Kearns is often cited by papers focused on Machine Learning and Algorithms (53 papers), Game Theory and Applications (20 papers) and Reinforcement Learning in Robotics (17 papers). Michael Kearns collaborates with scholars based in United States, Israel and United Kingdom. Michael Kearns's co-authors include Aaron Roth, Yishay Mansour, Satinder Singh, Zhiwei Steven Wu and David Haussler and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Fields of papers citing papers by Michael Kearns

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Michael Kearns. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Kearns may publish in the future.

Countries citing papers authored by Michael Kearns

Since Specialization
Citations

This map shows the geographic impact of Michael Kearns's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Kearns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kearns more than expected).

Rankless by CCL
2025