Tommi Jaakkola Google Scholar: h-index, Total Citations, and Citation Map
Tommi Jaakkola's h-index is 123 (311 i10-index, 84,017+ total citations across 524+ publications) according to Google Scholar as of November 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 84,017 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tommi Jaakkola's Citation Metrics
Bibliometric impact based on 524 indexed publications.
- H-Index
- 123
- i10-Index
- 311
- Total Citations
- 84,017
- Citing Countries
- 77
As of November 2026.
Tommi Jaakkola has an h-index of 123 and 84,017 total citations across 524 publications, with research cited by institutions in 77 countries.
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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 84,017 times across 524 publications (h-index 123), according to Google Scholar.
Their most-cited work, “An Introduction to Variational Methods for Graphical Models” (1999), has accumulated 5,339 citations. Other influential works include “A Deep Learning Approach to Antibiotic Discovery” (2020) with 2,067 citations and “De novo design of protein structure and function with RFdiffusion” (2023) with 1,692 citations.
Citations of Tommi Jaakkola's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
