Tuomas Sandholm

Tuomas Sandholm is a researcher affiliated with Angel Jordan University Professor of Computer Science, Carnegie Mellon University, specializing in AI & Machine Learning. Their work has been cited 37,862 times. This profile visualizes their global influence, highlighting strong citation networks in US.

AI & Machine Learning

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Angel Jordan University Professor of Computer Science, Carnegie Mellon University•

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Tuomas Sandholm's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 37,862
Citing Countries: 1

As of April 2026.

Tuomas Sandholm has an h-index of 1 and 37,862 total citations across 1 publication, with research cited by institutions in 1 country.

Global Impact Map

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Top Citing Countries(Limited)

United States(US)

Top Citing Institutions(Limited)

Massachusetts Institute of Technology

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.

Citer Influence Network

Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (3 total citations).

Scholar

Tuomas Sandholm

United States

React Flow

Letter of Support — Candidate Recommenders

Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.

#1
Han-Lim Choi
7.0
Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution
#2
Luc Brunet
7.0
Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution
#3
Jonathan P. How
7.0
Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution

Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.