Tom Mitchell: h-index, Total Citations, and Citation Map
Tom Mitchell's h-index is 1 (1 i10-index, 137,759+ total citations across 100+ publications) according to Google Scholar as of September 2026. Tom Mitchell is affiliated with Founders University Professor of Machine Learning, Carnegie Mellon University.
Tom Mitchell is a researcher affiliated with Founders University Professor of Machine Learning, Carnegie Mellon University, specializing in AI & Machine Learning. Their work has been cited 137,759 times. This profile visualizes their global influence, highlighting strong citation networks in United Kingdom.
Tom Mitchell's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 137,759
- Citing Countries
- 11
As of September 2026.
Tom Mitchell has an h-index of 1 and 137,759 total citations across 100 publications, with research cited by institutions in 11 countries.
Global Impact Map
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Machine learning: a guide to current research, vol. 12
198644,588
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 Tom Mitchell's research
Tom Mitchell is a researcher in AI & Machine Learning at Founders University Professor of Machine Learning, Carnegie Mellon University. Their work has been cited 137,759 times across 100 publications, according to Google Scholar.
Their most-cited work, “Machine learning: a guide to current research, vol. 12” (1986), has accumulated 44,588 citations.
Citations of Tom Mitchell's research come primarily from United Kingdom, Canada and Egypt, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
