Michael Wellman: h-index, Total Citations, and Citation Map
Michael Wellman's h-index is 77 (220 i10-index, 26,455+ total citations across 1+ publications) according to Google Scholar as of May 2026. Michael Wellman is affiliated with Professor of Computer Science & Engineering, University of Michigan.
Michael Wellman is a researcher affiliated with Professor of Computer Science & Engineering, University of Michigan, specializing in Artificial Intelligence, Computational Finance, Computational Game Theory. Their work has been cited 26,455 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael Wellman's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 77
- i10-Index
- 220
- Total Citations
- 26,455
- Citing Countries
- 1
As of May 2026.
Michael Wellman has an h-index of 77 and 26,455 total citations across 1 publication, with research cited by institutions in 1 country.
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We've mapped 5,000 of 26,455 citations for Michael Wellman
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Top Cited Works
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Nash Q-Learning for General-Sum Stochastic Games
20031,899
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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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed Nash Q-Learning for general-sum stochastic games, a seminal framework published in JMLR that has garnered nearly 1,900 citations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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