Martin Raison is a researcher affiliated with Nabla Technologies, specializing in AI & Machine Learning. Their work has been cited 74,356 times. This profile visualizes their global influence, highlighting strong citation networks in US.
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Bibliometric impact based on 1 indexed publication.
As of April 2026.
Martin Raison has an h-index of 1 and 74,356 total citations across 1 publication, with research cited by institutions in 1 country.
Visualizing the geographic distribution of institutions that have cited your work.
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.
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 (8 total citations).
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.
Ziming Liu
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
Sachin Vaidya
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
Marin Soljačić
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
Max Tegmark
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
Yixuan Wang
7.0California Institute of Technology
United States· Cited your work 1 time
Thomas Y. Hou
7.0California Institute of Technology
United States· Cited your work 1 time
James Halverson
5.0Northeastern University
United States· Cited your work 1 time
Fabian Ruehle
5.0Northeastern University
United States· Cited your work 1 time
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.
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle + 4 more
International Conference on Learning Representations (ICLR) 2025
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