Michael Kearns: h-index, Total Citations, and Citation Map
Michael Kearns's h-index is 1 (1 i10-index, 36,134+ total citations across 1+ publications) according to Google Scholar as of August 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 36,134 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael Kearns's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 36,134
- Citing Countries
- 1
As of August 2026.
Michael Kearns has an h-index of 1 and 36,134 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
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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 36,134 times across 1 publications, according to Google Scholar.
Their most-cited work, “An Introduction to Computational Learning Theory” (1994), has accumulated 2,546 citations.
Citations of Michael Kearns's research come primarily from United States; the citation map above shows the full geographic breakdown.
