Tommi Jaakkola: h-index, Total Citations, and Citation Map
Tommi Jaakkola's h-index is 1 (1 i10-index, 76,691+ total citations across 1+ publications) according to Google Scholar as of June 2026. Tommi Jaakkola is affiliated with MIT.
Tommi Jaakkola is a researcher affiliated with MIT, specializing in AI & Machine Learning. Their work has been cited 76,691 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Tommi Jaakkola's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 76,691
- Citing Countries
- 11
As of June 2026.
Tommi Jaakkola has an h-index of 1 and 76,691 total citations across 1 publication, with research cited by institutions in 11 countries.
Global Impact Map
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An Introduction to Variational Methods for Graphical Models
19995,339
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 Tommi Jaakkola's research
Tommi Jaakkola is a researcher in AI & Machine Learning at MIT. Their work has been cited 76,691 times across 1 publications, according to Google Scholar.
Their most-cited work, “An Introduction to Variational Methods for Graphical Models” (1999), has accumulated 5,339 citations.
Citations of Tommi Jaakkola's research come primarily from Australia, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
