Thomas Dietterich: h-index, Total Citations, and Citation Map
Thomas Dietterich's h-index is 1 (1 i10-index, 75,028+ total citations across 1+ publications) according to Google Scholar as of June 2026. Thomas Dietterich is affiliated with Distinguished Professor (Emeritus), Computer Science, Oregon State University.
Thomas Dietterich is a researcher affiliated with Distinguished Professor (Emeritus), Computer Science, Oregon State University, specializing in AI & Machine Learning. Their work has been cited 75,028 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Thomas Dietterich's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 75,028
- Citing Countries
- 5
As of June 2026.
Thomas Dietterich has an h-index of 1 and 75,028 total citations across 1 publication, with research cited by institutions in 5 countries.
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Ensemble Methods in Machine Learning
200013,313
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 Thomas Dietterich's research
Thomas Dietterich is a researcher in AI & Machine Learning at Distinguished Professor (Emeritus), Computer Science, Oregon State University. Their work has been cited 75,028 times across 1 publications, according to Google Scholar.
Their most-cited work, “Ensemble Methods in Machine Learning” (2000), has accumulated 13,313 citations.
Citations of Thomas Dietterich's research come primarily from United States, Canada and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
