World's Best Scientists 2026 revealed!
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Yoshua Bengio
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2025
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Computer Science
Canada
2026

D-Index & Metrics

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

Yoshua Bengio publications per year

The chart shows the history of publications by Yoshua Bengio between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yoshua Bengio published across 38 years, from 1988 to 2025, averaging 30.5 papers a year. Output peaked at 129 publications in 2023. 105 of the 1,158 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 129. Peak 129 publications in 2023. 1988: 4 publications 1989: 8 publications 1990: 4 publications 1991: 6 publications 1992: 4 publications 1993: 7 publications 1994: 11 publications 1995: 6 publications 1996: 3 publications 1997: 8 publications 1998: 11 publications 1999: 6 publications 2000: 10 publications 2001: 10 publications 2002: 18 publications 2003: 11 publications 2004: 18 publications 2005: 10 publications 2006: 11 publications 2007: 13 publications 2008: 6 publications 2009: 15 publications 2010: 19 publications 2011: 30 publications 2012: 35 publications 2013: 35 publications 2014: 45 publications 2015: 45 publications 2016: 52 publications 2017: 61 publications 2018: 104 publications 2019: 82 publications 2020: 78 publications 2021: 75 publications 2022: 63 publications 2023: 129 publications 2024: 60 publications 2025: 45 publications
1988 2025

1,158 publications in total across all disciplines

View publications per year as a table
Yoshua Bengio: publications per year, 1988 to 2025
Year Publications
1988 4
1989 8
1990 4
1991 6
1992 4
1993 7
1994 11
1995 6
1996 3
1997 8
1998 11
1999 6
2000 10
2001 10
2002 18
2003 11
2004 18
2005 10
2006 11
2007 13
2008 6
2009 15
2010 19
2011 30
2012 35
2013 35
2014 45
2015 45
2016 52
2017 61
2018 104
2019 82
2020 78
2021 75
2022 63
2023 129
2024 60
2025 45
Total 1,158
Download as CSV

Yoshua Bengio publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yoshua Bengio sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 852–861 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 856 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5 856
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Yoshua Bengio D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yoshua Bengio sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 131+ D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 224 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98 224
Download as CSV

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

  • Gradient-based learning applied to document recognition

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

  • Generative Adversarial Nets

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

  • Deep Learning

    Ian Goodfellow;Yoshua Bengio;Aaron Courville

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

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

  • Neural Machine Translation by Jointly Learning to Align and Translate

    Dzmitry Bahdanau;Kyunghyun Cho;Yoshua Bengio

  • Understanding the difficulty of training deep feedforward neural networks

    Xavier Glorot;Yoshua Bengio

  • Generative adversarial networks

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

  • Representation Learning: A Review and New Perspectives

    Y. Bengio;A. Courville;P. Vincent

  • Empirical evaluation of gated recurrent neural networks on sequence modeling

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

  • Learning long-term dependencies with gradient descent is difficult

    Y. Bengio;P. Simard;P. Frasconi

  • Learning Deep Architectures for AI

    Yoshua Bengio

  • Random search for hyper-parameter optimization

    James Bergstra;Yoshua Bengio

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

    Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

  • Deep sparse rectifier neural networks

    Xavier Glorot;Antoine Bordes;Yoshua Bengio

  • Extracting and composing robust features with denoising autoencoders

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

  • A neural probabilistic language model

    Yoshua Bengio;Réjean Ducharme;Pascal Vincent;Christian Janvin

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

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

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

    Pascal Vincent;Hugo Larochelle;Isabelle Lajoie;Yoshua Bengio

  • Convolutional networks for images, speech, and time series

    Yann LeCun;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

  • How transferable are features in deep neural networks

    Jason Yosinski;Jeff Clune;Yoshua Bengio;Hod Lipson

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

    Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

  • A Neural Probabilistic Language Model

    Yoshua Bengio;Réjean Ducharme;Pascal Vincent

Frequent Co-Authors

Aaron Courville
Aaron Courville University of Montreal
Kyunghyun Cho
Kyunghyun Cho New York University
Pascal Vincent
Pascal Vincent Facebook (United States)
Caglar Gulcehre
Caglar Gulcehre DeepMind (United Kingdom)
Razvan Pascanu
Razvan Pascanu DeepMind (United Kingdom)
Chris Pal
Chris Pal Polytechnique Montréal
Hugo Larochelle
Hugo Larochelle Google (United States)
Ian Goodfellow
Ian Goodfellow Google (United States)
Adam Trischler
Adam Trischler Microsoft (United States)
Joelle Pineau
Joelle Pineau McGill University

External Links

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

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Best Scientists Citing Yoshua Bengio

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 183

Björn Schuller

Björn Schuller

Imperial College London

Publications: 165

Kyunghyun Cho

Kyunghyun Cho

New York University

Publications: 149

Yann LeCun

Yann LeCun

Facebook (United States)

Publications: 148

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 146

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 144

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 133

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 132

Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

Publications: 131

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

Publications: 130

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 129

Lawrence Carin

Lawrence Carin

Duke University

Publications: 125

Trevor Darrell

Trevor Darrell

University of California, Berkeley

Publications: 123

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 122

Chunhua Shen

Chunhua Shen

Zhejiang University

Publications: 121

Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 118

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