An Introduction to Computational Learning Theory
1994 • 2546 Citations
Published in The MIT Press
Michael Kearns
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, spanning a global audience.
AI & Machine Learning
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Professor of Computer Science, University of Pennsylvania•
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Michael Kearns's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 36,134
- Citing Countries
- 0
As of April 2026.
Michael Kearns has an h-index of 1 and 36,134 total citations across 1 publication, with research cited by institutions in 0 countries.
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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.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Berkeley). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “An Introduction to Computational Learning Theory”
· cites “An Introduction to Computational Learning Theory”
· cites “An Introduction to Computational Learning Theory”
· cites “An Introduction to Computational Learning Theory”
· cites “An Introduction to Computational Learning Theory”
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