Yann LeCun

Yann LeCun is a researcher affiliated with Chief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York University, specializing in Computer Vision & AI. Their work has been cited 464,386 times. This profile visualizes their global influence, highlighting strong citation networks in US.

Computer Vision & AI

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0i10-index

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Chief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York University•

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Yann LeCun's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 464,386
Citing Countries: 6

As of April 2026.

Yann LeCun has an h-index of 1 and 464,386 total citations across 1 publication, with research cited by institutions in 6 countries.

Global Impact Map

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

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Top Citing Countries(Limited)

United States(US)

Canada(CA)

United Kingdom(GB)

UAE(AE)

China(CN)

United Kingdom(GB)

Top Citing Institutions(Limited)

Harvard Medical School

Massachusetts Institute of Technology

Cornell University

Google DeepMind

Mila – Quebec AI Institute / Université de Montréal

Harvard University

Stanford University

Université de Montréal

Mila – Quebec AI Institute

DP Technology / Peking 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 6 of 6 countries (25 total citations).

Scholar

Yann LeCun

256

United States

Canada

United Kingdom

United Arab Emirates

China

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
Connor W. Coley
7.0
Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution
#2
Payal Chandak
7.0
Harvard Medical School
United States· Cited your work 1 time
IndependentTop institution
#3
Petar Veličković
8.5
Google DeepMind
United Kingdom· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Pushmeet Kohli
8.5
Google DeepMind
UK· Cited your work 1 time
IndependentTop institutionDiversifies geography
#5
Linfeng Zhang
8.5
DP Technology / Peking University
China· Cited your work 1 time
IndependentTop institutionDiversifies geography
#6
Joan Lasenby
8.5
University of Cambridge
United Kingdom· Cited your work 1 time
IndependentTop institutionDiversifies geography
#7
Shaohua Liu
6.5
Mila – Quebec AI Institute
Canada· Cited your work 1 time
IndependentDiversifies geography
#8
Le Song
6.5
Mohamed bin Zayed University of Artificial Intelligence
United Arab Emirates· Cited your work 1 time
IndependentDiversifies geography
#9
Debora Marks
7.0
Harvard Medical School
United States· Cited your work 1 time
IndependentTop institution
#10
Ziming Liu
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.

Cited by 5 papers

4 / 5 independent

Citations flagged as non-independent share the scholar's home institution (Université de Montréal). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.