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Geoffrey E. Hinton

Geoffrey E. Hinton

University of Toronto
Canada

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Best Scientists
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 172 782 715 18 17 453 731039
Computer Science 173 14 13 2 2 435 744059

Geoffrey E. Hinton publications per year

The chart shows the history of publications by Geoffrey E. Hinton between 1976 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Geoffrey E. Hinton published across 50 years, from 1976 to 2025, averaging 9.2 papers a year. Output peaked at 52 publications in 2010. 5 of the 461 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1976 to 2025. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2010. 1976: 1 publication 1977: 1 publication 1978: 2 publications 1979: 2 publications 1980: 1 publication 1981: 1 publication 1982: 1 publication 1983: 4 publications 1984: 4 publications 1985: 4 publications 1986: 11 publications 1987: 7 publications 1988: 10 publications 1989: 6 publications 1990: 15 publications 1991: 17 publications 1992: 5 publications 1993: 10 publications 1994: 9 publications 1995: 9 publications 1996: 10 publications 1997: 15 publications 1998: 9 publications 1999: 12 publications 2000: 10 publications 2001: 8 publications 2002: 14 publications 2003: 5 publications 2004: 7 publications 2005: 10 publications 2006: 6 publications 2007: 12 publications 2008: 11 publications 2009: 16 publications 2010: 52 publications 2011: 14 publications 2012: 18 publications 2013: 18 publications 2014: 7 publications 2015: 6 publications 2016: 3 publications 2017: 11 publications 2018: 8 publications 2019: 11 publications 2020: 19 publications 2021: 8 publications 2022: 10 publications 2023: 6 publications 2024: 0 publications 2025: 5 publications
1976 2025

461 publications in total across all disciplines

View publications per year as a table
Geoffrey E. Hinton: publications per year, 1976 to 2025
Year Publications
1976 1
1977 1
1978 2
1979 2
1980 1
1981 1
1982 1
1983 4
1984 4
1985 4
1986 11
1987 7
1988 10
1989 6
1990 15
1991 17
1992 5
1993 10
1994 9
1995 9
1996 10
1997 15
1998 9
1999 12
2000 10
2001 8
2002 14
2003 5
2004 7
2005 10
2006 6
2007 12
2008 11
2009 16
2010 52
2011 14
2012 18
2013 18
2014 7
2015 6
2016 3
2017 11
2018 8
2019 11
2020 19
2021 8
2022 10
2023 6
2024 0
2025 5
Total 461
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Geoffrey E. Hinton publications per year - data summary

  • Geoffrey E. Hinton, a Computer Science scholar from University of Toronto, has 461 publications recorded across 50 years, from 1976 to 2025.
  • The oldest publication on record dates to 1976 and the most recent to 2025.
  • The most productive year is 2010, with 52 publications.
  • The least productive years with any output are 1976, 1977, 1980, 1981 and others, with 1 publication each.
  • 1 of the 50 years in the span carries no publications at all (2024).
  • The rate of publication averages 9.2 papers per year over the whole span, or 9.4 per year counting only the 49 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 29 publications, 6% of the career total.
  • Split into equal eras - 1976-1992: 92 publications (5.4 per year); 1993-2009: 173 publications (10.2 per year); 2010-2025: 196 publications (12.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Geoffrey E. Hinton 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 Geoffrey E. Hinton 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, 432–441 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: 435 publications — 90th percentile

90% 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 83 435
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
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

Geoffrey E. Hinton publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Geoffrey E. Hinton, a Computer Science scholar from University of Toronto, records 435 publications - the 90th percentile of the discipline.
  • 90% of ranked Computer Science scientists score the same or lower than Geoffrey E. Hinton, and about 10% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Geoffrey E. Hinton ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Geoffrey E. Hinton 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 Geoffrey E. Hinton 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: 173 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+ 98 173
Download as CSV

Geoffrey E. Hinton D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Geoffrey E. Hinton, a Computer Science scholar from University of Toronto, records 173 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Geoffrey E. Hinton, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Geoffrey E. Hinton ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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
  • 2018 - A. M. Turing Award For conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
  • 2016 - Member of the National Academy of Engineering For contributions to the theory and practice of artificial neural networks and their application to speech recognition and computer vision.
  • 2016 - IEEE/RSE Wolfson James Clerk Maxwell Medal “For pioneering and sustained contributions to machine learning, including developments in deep neural networks.”
  • 2014 - IEEE Frank Rosenblatt Award
  • 2003 - Fellow of the American Academy of Arts and Sciences
  • 1998 - Fellow of the Royal Society, United Kingdom
  • 1996 - Fellow of the Royal Society of Canada Academy of Science
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

Geoffrey E. Hinton is affiliated with the University of Toronto in Canada and specializes in Computer Science with a focus on Artificial Intelligence. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, and Health Informatics.

The main topics covered in their work include Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Neural Networks and Applications, Topic Modeling, and Advanced Image and Video Retrieval Techniques.

Recent papers authored or co-authored by Geoffrey E. Hinton include:

  • "A Simple Framework for Contrastive Learning of Visual Representations," 2020, arXiv (Cornell University)
  • "Neuromodulatory Control Networks (NCNs): A Biologically Inspired Architecture for Dynamic LLM Processing," 2025, Zenodo (CERN European Organization for Nuclear Research)
  • "A simple framework for contrastive learning of visual representations," 2024, TIB Data Manager
  • "Backpropagation and the brain," 2020, Nature reviews. Neuroscience
  • "SAAP: A Normative and Segregated AGI Architecture Proposal," 2025, Zenodo (CERN European Organization for Nuclear Research)

Frequent co-authors include:

  • Yoshua Bengio
  • Simon Kornblith
  • David J. Fleet
  • Sören Mindermann
  • Mohammad Norouzi

Geoffrey Hinton has published extensively in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), SuperIntelligence - Robotics - Safety & Alignment, Nature reviews. Neuroscience, and Communications of the ACM.

In addition to journal articles and conference papers, they have contributed to book literature, including a publication titled Machine learning in neuroscience in 2023 under Frontiers Media.

Recognition for their contributions includes awards such as the A. M. Turing Award in 2018 for breakthroughs that have influenced deep neural networks as components of computing, membership in the National Academy of Engineering since 2016, the IEEE/RSE Wolfson James Clerk Maxwell Medal in 2016 for contributions to machine learning, and the IEEE Frank Rosenblatt Award in 2014.

Further honors include fellowships with the American Academy of Arts and Sciences since 2003, the Royal Society of the United Kingdom since 1998, the Royal Society of Canada since 1996, and the Association for the Advancement of Artificial Intelligence since 1990.

Best Publications

  • ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky;Ilya Sutskever;Geoffrey E. Hinton

  • Deep learning

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

  • Dropout: a simple way to prevent neural networks from overfitting

    Nitish Srivastava;Geoffrey Hinton;Alex Krizhevsky;Ilya Sutskever

  • Learning representations by back-propagating errors

    David E. Rumelhart;Geoffrey E. Hinton;Ronald J. Williams

  • Visualizing Data using t-SNE

    Laurens van der Maaten;Geoffrey Hinton

  • Learning internal representations by error propagation

    D. E. Rumelhart;G. E. Hinton;R. J. Williams

  • Reducing the Dimensionality of Data with Neural Networks

    G. E. Hinton;R. R. Salakhutdinov

  • A fast learning algorithm for deep belief nets

    Geoffrey E. Hinton;Simon Osindero;Yee-Whye Teh

  • Rectified Linear Units Improve Restricted Boltzmann Machines

    Vinod Nair;Geoffrey E. Hinton

  • Distilling the Knowledge in a Neural Network

    Geoffrey E. Hinton;Oriol Vinyals;Jeffrey Dean

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • Speech recognition with deep recurrent neural networks

    Alex Graves;Abdel-rahman Mohamed;Geoffrey Hinton

  • Improving neural networks by preventing co-adaptation of feature detectors

    Geoffrey E. Hinton;Nitish Srivastava;Alex Krizhevsky;Ilya Sutskever

  • A Simple Framework for Contrastive Learning of Visual Representations

    Ting Chen;Simon Kornblith;Mohammad Norouzi;Geoffrey Hinton

  • Training products of experts by minimizing contrastive divergence

    Geoffrey E. Hinton

  • Adaptive mixtures of local experts

    Robert A. Jacobs;Michael I. Jordan;Steven J. Nowlan;Geoffrey E. Hinton

  • Bayesian learning for neural networks

    Geoffrey Hinton;Radford M. Neal

  • A learning algorithm for Boltzmann machines

    David H. Ackley;Geoffrey E. Hinton;Terrence J. Sejnowski

  • On the importance of initialization and momentum in deep learning

    Ilya Sutskever;James Martens;George Dahl;Geoffrey Hinton

  • Dynamic Routing Between Capsules

    Sara Sabour;Nicholas Frosst;Geoffrey E. Hinton

  • Layer Normalization

    Jimmy Lei Ba;Jamie Ryan Kiros;Geoffrey E. Hinton

  • Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks

    G. E. Hinton;R. R. Salakhutdinov

Frequent Co-Authors

Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Ilya Sutskever
Ilya Sutskever OpenAI
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Max Welling
Max Welling University of Amsterdam
Richard S. Zemel
Richard S. Zemel University of Toronto
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Yee Whye Teh
Yee Whye Teh University of Oxford
Abdel-rahman Mohamed
Abdel-rahman Mohamed Facebook (United States)
Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Volodymyr Mnih
Volodymyr Mnih DeepMind (United Kingdom)

External Links

Wikipedia of Geoffrey E. Hinton Personal website of Geoffrey E. Hinton Google Scholar page

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2027 Fastest Online Chemistry Degree Programs You Can Finish in Under 2 Years
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2027 Which Bioinformatics Degree Careers Offer the Best Long-Term Salary Growth?
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2027 How Fast Can You Earn an Online Paralegal Bachelor's Degree? Timelines & Completion Options
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2027 How Much Does a Surgical Tech Degree Program Cost? Tuition, Fees & Total Expense Breakdown
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2027 Applied Psychology Degree Levels Explained: Bachelor's vs Master's vs Doctorate
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2027 Online Early Childhood Education Degree Programs Costs: Tuition & Fees
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2027 Cheapest Online Master's Degrees in Artificial Intelligence
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