World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
104
Citations
84791
World Ranking
295
National Ranking
162

Samy 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 Samy Bengio sits on this spectrum.

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 publications 991+

This scientist: 381 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Samy 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 Samy Bengio sits on this spectrum.

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 D-Index 131+

This scientist: 104 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Overview

Samy Bengio is affiliated with Apple in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and its subfields. Their research encompasses a range of topics related to neural networks, machine learning algorithms, and advanced applications of AI.

Their publication record includes research primarily disseminated through the arXiv (Cornell University), with 21 works in this venue, alongside papers published in Communications of the ACM, Dagstuhl Research Online Publication Server, Computational Brain & Behavior, and in the area of SuperIntelligence related to robotics, safety, and alignment.

Key research fields in their work include:

  • Computer Science

Within this broader field, Bengio's work focuses significantly on subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Cognitive Neuroscience
  • Electrical and Electronic Engineering

The scientist's major topics of research cover:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning
  • Metaheuristic Optimization Algorithms Research
  • Advanced Memory and Neural Computing

Recent published papers by Bengio include:

  • "Understanding deep learning (still) requires rethinking generalization" (2021) in Communications of the ACM
  • "Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles" (2020) in Dagstuhl Research Online Publication Server
  • "Characterising Bias in Compressed Models" (2020) in arXiv (Cornell University)
  • "GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models" (2024) in arXiv (Cornell University)
  • "Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure" (2021) in Computational Brain & Behavior

Frequent collaboration partners of Samy Bengio include:

  • Emmanuel Abbé
  • Iman Mirzadeh
  • Etai Littwin
  • Omid Saremi
  • Aryo Lotfi

Best Publications

  • Advances in Neural Information Processing Systems 31

    S. Bengio;H.M. Wallach;H. Larochelle;K. Grauman

  • Show and tell: A neural image caption generator

    Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan

  • Understanding deep learning (still) requires rethinking generalization

    Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht

  • Adversarial examples in the physical world

    Alexey Kurakin;Ian J. Goodfellow;Samy Bengio

  • Understanding deep learning requires rethinking generalization.

    Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht

  • DeViSE: A Deep Visual-Semantic Embedding Model

    Andrea Frome;Greg S Corrado;Jon Shlens;Samy Bengio

  • Adversarial Machine Learning at Scale

    Alexey Kurakin;Ian J. Goodfellow;Samy Bengio

  • Generating Sentences from a Continuous Space

    Samuel R. Bowman;Luke Vilnis;Oriol Vinyals;Andrew M. Dai

  • Why Does Unsupervised Pre-training Help Deep Learning?

    Dumitru Erhan;Yoshua Bengio;Aaron Courville;Pierre-Antoine Manzagol

  • Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • Scheduled sampling for sequence prediction with recurrent Neural networks

    Samy Bengio;Oriol Vinyals;Navdeep Jaitly;Noam Shazeer

  • Density estimation using Real NVP

    Laurent Dinh;Jascha Sohl-Dickstein;Samy Bengio

  • SVMTorch: support vector machines for large-scale regression problems

    Ronan Collobert;Samy Bengio

  • Neural Combinatorial Optimization with Reinforcement Learning

    Irwan Bello;Hieu Pham;Quoc V. Le;Mohammad Norouzi

  • Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

    Wei-Lin Chiang;Xuanqing Liu;Si Si;Yang Li

  • Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

    Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan

  • Zero-Shot Learning by Convex Combination of Semantic Embeddings

    Mohammad Norouzi;Tomas Mikolov;Samy Bengio;Yoram Singer

  • WSABIE: scaling up to large vocabulary image annotation

    Jason Weston;Samy Bengio;Nicolas Usunier

  • Revisiting Distributed Synchronous SGD

    Jianmin Chen;Rajat Monga;Samy Bengio;Rafal Jozefowicz

  • Large Scale Online Learning of Image Similarity Through Ranking

    Gal Chechik;Varun Sharma;Uri Shalit;Samy Bengio

  • Order Matters: Sequence to sequence for sets

    Oriol Vinyals;Samy Bengio;Manjunath Kudlur

Frequent Co-Authors

Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Norman Poh
Norman Poh University of Surrey
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Daniel Gatica-Perez
Daniel Gatica-Perez Idiap Research Institute
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Yoram Singer
Yoram Singer Princeton University
Gal Chechik
Gal Chechik Bar-Ilan University
David Grangier
David Grangier Google (United States)
Mohammad Norouzi
Mohammad Norouzi Google (United States)
Navdeep Jaitly
Navdeep Jaitly Google (United States)

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