2026 Yoshua Bengio: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Best Scientists	223	118	109	3	3	871	683563
Computer Science	224	1	1	1	1	856	651723

Research.com Recognitions

2026 - Research.com Computer Science in Canada Leader Award
2025 - Research.com Best Scientists Award
2025 - Research.com Computer Science in Canada Leader Award
2023 - Research.com Computer Science in Canada Leader Award
2022 - Research.com Computer Science in Canada Leader Award
2020 - Fellow of the Royal Society, United Kingdom
2020 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For foundational contributions to development of deep neural networks, scientific leadership in Canada, and service to the AI community.
2019 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society
2019 - Izaak Walton Killam Memorial Prize, Canada Council
2018 - A. M. Turing Award For conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
2017 - Fellow of the Royal Society of Canada Academy of Science
2017 - Prix Marie-Victorin, Government of Quebec

Overview

Yoshua Bengio is affiliated with the University of Montreal in Canada. Their primary field of research is Computer Science with a specific focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Materials Chemistry, and Cognitive Neuroscience.

Their recent scientific contributions include the following papers:

"Generative adversarial networks", 2020, Communications of the ACM
"Static Analysis of Shape in TensorFlow Programs", 2020, arXiv (Cornell University)
"Scientific discovery in the age of artificial intelligence", 2023, Nature
"Machine learning for combinatorial optimization: A methodological tour d'horizon", 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
"Toward Causal Representation Learning", 2021, Proceedings of the IEEE

Frequent publication venues for their work include:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Proceedings of the AAAI Conference on Artificial Intelligence
SuperIntelligence - Robotics - Safety & Alignment
Science

Bengio's collaborative network features frequent co-authors such as:

Alexandre Lacoste
Evan David Sherwin
Pau Rodríguez
Alexandre Drouin
David Vázquez

The main topics of their research include:

Domain Adaptation and Few-Shot Learning
Machine Learning in Materials Science
Reinforcement Learning in Robotics
Neural Networks and Applications
Topic Modeling
Generative Adversarial Networks and Image Synthesis
Explainable Artificial Intelligence (XAI)

Throughout their career, Yoshua Bengio has received several awards and honors, including:

Fellow of the Royal Society, United Kingdom (2020)
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2020), recognized for contributions to deep neural networks and scientific leadership
Neural Networks Pioneer Award, IEEE Computational Intelligence Society (2019)
Izaak Walton Killam Memorial Prize, Canada Council (2019)
A. M. Turing Award (2018), for conceptual and engineering breakthroughs in deep neural networks
Prix Marie-Victorin, Government of Quebec (2017)
Fellow of the Royal Society of Canada (2017), Academy of Science

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
Generative Adversarial Nets

Ian Goodfellow;Jean Pouget-Abadie;Mehdi Mirza;Bing Xu

39689
Citations
Deep Learning

Ian Goodfellow;Yoshua Bengio;Aaron Courville

35024
Citations
Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation

Kyunghyun Cho;Bart van Merrienboer;Caglar Gulcehre;Dzmitry Bahdanau

28068
Citations
Neural Machine Translation by Jointly Learning to Align and Translate

Dzmitry Bahdanau;Kyunghyun Cho;Yoshua Bengio

25714
Citations
Understanding the difficulty of training deep feedforward neural networks

Xavier Glorot;Yoshua Bengio

17841
Citations
Generative adversarial networks

Ian Goodfellow;Jean Pouget-Abadie;Mehdi Mirza;Bing Xu

16446
Citations
Representation Learning: A Review and New Perspectives

Y. Bengio;A. Courville;P. Vincent

14859
Citations
Empirical evaluation of gated recurrent neural networks on sequence modeling

Junyoung Chung;Çaglar Gülçehre;KyungHyun Cho;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

14347
Citations
Learning long-term dependencies with gradient descent is difficult

Y. Bengio;P. Simard;P. Frasconi

10772
Citations
Learning Deep Architectures for AI

Yoshua Bengio

10581
Citations
Random search for hyper-parameter optimization

James Bergstra;Yoshua Bengio

10097
Citations
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

9851
Citations
Deep sparse rectifier neural networks

Xavier Glorot;Antoine Bordes;Yoshua Bengio

9110
Citations
Extracting and composing robust features with denoising autoencoders

Pascal Vincent;Hugo Larochelle;Yoshua Bengio;Pierre-Antoine Manzagol

8584
Citations
A neural probabilistic language model

Yoshua Bengio;Réjean Ducharme;Pascal Vincent;Christian Janvin

8194
Citations
On the Properties of Neural Machine Translation: Encoder--Decoder Approaches

Kyunghyun Cho;Bart van Merrienboer;Dzmitry Bahdanau;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

7780
Citations
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Pascal Vincent;Hugo Larochelle;Isabelle Lajoie;Yoshua Bengio

7080
Citations
Convolutional networks for images, speech, and time series

Yann LeCun;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

6653
Citations
How transferable are features in deep neural networks

Jason Yosinski;Jeff Clune;Yoshua Bengio;Hod Lipson

5586
Citations
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

3024
Citations
A Neural Probabilistic Language Model

Yoshua Bengio;Réjean Ducharme;Pascal Vincent

833
Citations

Frequent Co-Authors

Aaron Courville University of Montreal

Kyunghyun Cho New York University

Pascal Vincent Facebook (United States)

Caglar Gulcehre DeepMind (United Kingdom)

Razvan Pascanu DeepMind (United Kingdom)

Chris Pal Polytechnique Montréal

Hugo Larochelle Google (United States)

Ian Goodfellow Google (United States)

Adam Trischler Microsoft (United States)

Joelle Pineau McGill University

External Links

Wikipedia of Yoshua Bengio Personal website of Yoshua Bengio Google Scholar page

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