Michael Kearns: h-index, Total Citations, and Citation Map
Michael Kearns's h-index is 63 (144 i10-index, 37,470+ total citations across 322+ publications) according to Google Scholar as of September 2026. Michael Kearns is affiliated with Professor of Computer Science, University of Pennsylvania.
Michael Kearns is a researcher affiliated with Professor of Computer Science, University of Pennsylvania, specializing in AI & Machine Learning. Their work has been cited 37,470 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael Kearns's Citation Metrics
Bibliometric impact based on 322 indexed publications.
- H-Index
- 63
- i10-Index
- 144
- Total Citations
- 37,470
- Citing Countries
- 57
As of September 2026.
Michael Kearns has an h-index of 63 and 37,470 total citations across 322 publications, with research cited by institutions in 57 countries.
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An Introduction to Computational Learning Theory
19942,546
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michael Kearns's research
Michael Kearns is a researcher in AI & Machine Learning at Professor of Computer Science, University of Pennsylvania. Their work has been cited 37,470 times across 322 publications (h-index 63), according to Google Scholar.
Their most-cited work, “An Introduction to Computational Learning Theory” (1994), has accumulated 2,546 citations. Other influential works include “Algorithmic Game Theory” (2007) with 2,248 citations and “Fairness in Criminal Justice Risk Assessments: The State of the Art” (2018) with 979 citations.
Citations of Michael Kearns's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
