Thomas R Gruber

Thomas R Gruber is a researcher affiliated with Impact Advisor, Humanistic.ai, specializing in AI & Machine Learning. Their work has been cited 90,771 times. This profile visualizes their global influence, highlighting strong citation networks in GB.

AI & Machine Learning

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Impact Advisor, Humanistic.ai•

Google Scholar

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Thomas R Gruber's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 90,771
Citing Countries: 1

As of April 2026.

Thomas R Gruber has an h-index of 1 and 90,771 total citations across 1 publication, with research cited by institutions in 1 country.

Global Impact Map

Visualizing the geographic distribution of institutions that have cited your work.

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Top Citing Countries(Limited)

United Kingdom(GB)

Top Citing Institutions(Limited)

Oxford Brookes University

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

Thomas R Gruber

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
Valerian Vanessa Tuhaise
7.0
Oxford Brookes University
UK· Cited your work 1 time
IndependentTop institution
#2
Joseph Handibry Mbatu Tah
7.0
Oxford Brookes University
UK· Cited your work 1 time
IndependentTop institution
#3
Fonbeyin Henry Abanda
7.0
Oxford Brookes University
UK· 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.