2026 Yann LeCun: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	137	77	74	47	45	385	309833

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2020 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to deep learning, neural networks, and image recognition, including the introduction of convolutional neural networks.
2018 - A. M. Turing Award For conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
2017 - Member of the National Academy of Engineering For developing convolutional neural networks and their applications in computer vision and other areas of artificial intelligence.
2014 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society

Overview

Yann LeCun is affiliated with Facebook in the United States and has contributed extensively to the field of computer science. The primary focus of their research spans artificial intelligence, computer vision and pattern recognition, cognitive neuroscience, molecular biology, and biomedical engineering.

Their work has concentrated on a range of topics including:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Topic Modeling
Generative Adversarial Networks and Image Synthesis
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications

LeCun's recent academic output includes notable papers such as:

"Barlow Twins: Self-Supervised Learning via Redundancy Reduction" (2021), published in arXiv (Cornell University)
"MDETR - Modulated Detection for End-to-End Multi-Modal Understanding" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Deep learning for AI" (2021), featured in Communications of the ACM
"Deep learning, reinforcement learning, and world models" (2022), published in Neural Networks
"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning" (2021), published in arXiv (Cornell University)

Frequent co-authors collaborating with LeCun include:

Randall Balestriero
Ravid Shwartz-Ziv
Yubei Chen
Quentin Garrido
Ishan Misra

LeCun has published extensively in venues such as:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Communications of the ACM
Neural Networks

Their contributions to the field have been recognized through several awards including:

Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2020, for contributions to deep learning, neural networks, and image recognition including convolutional neural networks
A. M. Turing Award in 2018, for conceptual and engineering breakthroughs in deep neural networks
Member of the National Academy of Engineering in 2017, for developing convolutional neural networks and applications in computer vision and artificial intelligence
Neural Networks Pioneer Award from the IEEE Computational Intelligence Society in 2014

Best Publications

Deep learning

Yann LeCun;Yann LeCun;Yoshua Bengio;Geoffrey Hinton;Geoffrey Hinton

85224
Citations
Gradient-based learning applied to document recognition

Yann Lecun;Leon Bottou;Leon Bottou;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio;Patrick Haffner;Patrick Haffner

65984
Citations
Backpropagation applied to handwritten zip code recognition

Y. LeCun;B. Boser;J. S. Denker;D. Henderson

14575
Citations
Convolutional networks for images, speech, and time series

Yann LeCun;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

6653
Citations
Handwritten Digit Recognition with a Back-Propagation Network

Yann LeCun;Bernhard E. Boser;John S. Denker;John S. Denker;Donnie Henderson

5489
Citations
Dimensionality Reduction by Learning an Invariant Mapping

R. Hadsell;S. Chopra;Y. LeCun

5400
Citations
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Pierre Sermanet;David Eigen;Xiang Zhang;Michael Mathieu

5338
Citations
Character-level convolutional networks for text classification

Xiang Zhang;Junbo Zhao;Yann LeCun

4929
Citations
Learning a similarity metric discriminatively, with application to face verification

S. Chopra;R. Hadsell;Y. LeCun

4750
Citations
Efficient BackProp

Yann LeCun;Léon Bottou;Genevieve B. Orr;Klaus-Robert Müller

4559
Citations
Optimal Brain Damage

Yann LeCun;John S. Denker;Sara A. Solla

4405
Citations
Spectral Networks and Locally Connected Networks on Graphs

Joan Bruna;Wojciech Zaremba;Arthur Szlam;Yann LeCun

3911
Citations
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

Jane Bromley;James W. Bentz;James W. Bentz;Léon Bottou;Léon Bottou;Isabelle Guyon

3877
Citations
Geometric Deep Learning: Going beyond Euclidean data

Michael M. Bronstein;Joan Bruna;Yann LeCun;Arthur Szlam

3663
Citations
Signature Verification using a "Siamese" Time Delay Neural Network

Jane Bromley;Isabelle Guyon;Yann LeCun;Eduard Säckinger

3538
Citations
A Closer Look at Spatiotemporal Convolutions for Action Recognition

Du Tran;Heng Wang;Lorenzo Torresani;Jamie Ray;Jamie Ray

3494
Citations
Efficient BackProp

Unknown

3442
Citations
Learning Hierarchical Features for Scene Labeling

C. Farabet;C. Couprie;L. Najman;Y. LeCun

3404
Citations
What is the best multi-stage architecture for object recognition?

Kevin Jarrett;Koray Kavukcuoglu;Marc'Aurelio Ranzato;Yann LeCun

2942
Citations
Convolutional networks and applications in vision

Yann LeCun;Koray Kavukcuoglu;Clement Farabet

2797
Citations
Pattern Recognition and Neural Networks

Yann LeCun;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

11
Citations

Frequent Co-Authors

Léon Bottou Facebook (United States)

Yoshua Bengio University of Montreal

Joan Bruna New York University

Lawrence D. Jackel Toyota Research Institute

Patrick Haffner Interactions Corporation

John S. Denker Nokia (United States)

Arthur Szlam DeepMind (United Kingdom)

Patrice Y. Simard Microsoft (United States)

Koray Kavukcuoglu DeepMind (United Kingdom)

Raia Hadsell DeepMind (United Kingdom)

External Links

Wikipedia of Yann LeCun Personal website of Yann LeCun Google Scholar page

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