World's Best Scientists 2026 revealed!
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Sergey Levine
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 153 33 32 19 18 552 97923

Sergey Levine publications per year

The chart shows the history of publications by Sergey Levine between 2008 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sergey Levine published across 19 years, from 2008 to 2026, averaging 38.8 papers a year. Output peaked at 108 publications in 2021. 54 of the 738 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2008 to 2026. Vertical axis: number of publications, 0 to 108. Peak 108 publications in 2021. 2008: 1 publication 2009: 1 publication 2010: 3 publications 2011: 2 publications 2012: 3 publications 2013: 3 publications 2014: 3 publications 2015: 14 publications 2016: 26 publications 2017: 50 publications 2018: 89 publications 2019: 82 publications 2020: 79 publications 2021: 108 publications 2022: 70 publications 2023: 61 publications 2024: 89 publications 2025: 53 publications 2026: 1 publication
2008 2026

738 publications in total across all disciplines

View publications per year as a table
Sergey Levine: publications per year, 2008 to 2026
Year Publications
2008 1
2009 1
2010 3
2011 2
2012 3
2013 3
2014 3
2015 14
2016 26
2017 50
2018 89
2019 82
2020 79
2021 108
2022 70
2023 61
2024 89
2025 53
2026 1
Total 738
Download as CSV

Sergey Levine publications per year - data summary

  • Sergey Levine, a Computer Science scholar from University of California, Berkeley, has 738 publications recorded across 19 years, from 2008 to 2026.
  • The oldest publication on record dates to 2008 and the most recent to 2026.
  • The most productive year is 2021, with 108 publications.
  • The least productive years with any output are 2008, 2009 and 2026, with 1 publication each.
  • The rate of publication averages 38.8 papers per year over the whole span, or 38.8 per year counting only the 19 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 274 publications, 37% of the career total.
  • Split into equal eras - 2008-2014: 16 publications (2.3 per year); 2015-2021: 448 publications (64.0 per year); 2022-2026: 274 publications (54.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Sergey Levine 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 Sergey Levine 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, 552–561 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: 552 publications — 95th percentile

95% 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 38 552
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

Sergey Levine 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.
  • Sergey Levine, a Computer Science scholar from University of California, Berkeley, records 552 publications - the 95th percentile of the discipline.
  • 95% of ranked Computer Science scientists score the same or lower than Sergey Levine, and about 5% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Sergey Levine 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).

Sergey Levine 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 Sergey Levine 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: 153 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+ 98 153
Download as CSV

Sergey Levine 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.
  • Sergey Levine, a Computer Science scholar from University of California, Berkeley, records 153 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Sergey Levine, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Sergey Levine 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 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
  • 2019 - Fellow of Alfred P. Sloan Foundation

Overview

Sergey Levine is affiliated with the University of California, Berkeley in the United States. Their primary field of study is Computer Science, with a significant focus on Artificial Intelligence. They have published extensively in this domain, contributing 595 publications overall, including subfields such as Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, and Management Science and Operations Research.

Their research topics encompass a variety of areas within machine learning and robotics. Key topics include Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, and Machine Learning and Algorithms.

Frequent coauthors working with Sergey Levine include:

  • Chelsea Finn
  • Aviral Kumar
  • Benjamin Eysenbach
  • Karol Hausman
  • Pieter Abbeel

Common publication venues for Sergey Levine are as follows:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 International Conference on Robotics and Automation (ICRA)
  • The International Journal of Robotics Research
  • ACM Transactions on Graphics

The following recent papers represent a selection of Sergey Levine's work, indicating their ongoing interests and contributions:

  • Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems, 2020, arXiv (Cornell University)
  • Conservative Q-Learning for Offline Reinforcement Learning, 2020, arXiv (Cornell University)
  • Do As I Can, Not As I Say: Grounding Language in Robotic Affordances, 2022, arXiv (Cornell University)
  • How to train your robot with deep reinforcement learning: lessons we have learned, 2021, The International Journal of Robotics Research
  • PaLM-E: An Embodied Multimodal Language Model, 2023, arXiv (Cornell University)

Among recognitions, Sergey Levine received the Fellow of Alfred P. Sloan Foundation award in 2019.

Best Publications

  • Model-agnostic meta-learning for fast adaptation of deep networks

    Chelsea Finn;Pieter Abbeel;Sergey Levine

  • Trust Region Policy Optimization

    John Schulman;Sergey Levine;Pieter Abbeel;Michael Jordan

  • Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

    Tuomas Haarnoja;Aurick Zhou;Pieter Abbeel;Sergey Levine

  • End-to-end training of deep visuomotor policies

    Sergey Levine;Chelsea Finn;Trevor Darrell;Pieter Abbeel

  • Trust Region Policy Optimization

    John Schulman;Sergey Levine;Philipp Moritz;Michael I. Jordan

  • High-Dimensional Continuous Control Using Generalized Advantage Estimation

    John Schulman;Philipp Moritz;Sergey Levine;Michael Jordan

  • Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

    Sergey Levine;Peter Pastor;Alex Krizhevsky;Julian Ibarz

  • Soft Actor-Critic Algorithms and Applications

    Tuomas Haarnoja;Aurick Zhou;Kristian Hartikainen;George Tucker

  • Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

    Shixiang Gu;Ethan Holly;Timothy Lillicrap;Sergey Levine

  • QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

    Dmitry Kalashnikov;Alex Irpan;Peter Pastor;Julian Ibarz

  • Recurrent Network Models for Human Dynamics

    Katerina Fragkiadaki;Sergey Levine;Panna Felsen;Jitendra Malik

  • Guided Policy Search

    Sergey Levine;Vladlen Koltun

  • Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

    Sergey Levine;Aviral Kumar;George Tucker;Justin Fu

  • Unsupervised Learning for Physical Interaction through Video Prediction

    Chelsea Finn;Ian J. Goodfellow;Sergey Levine

  • Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

    Anusha Nagabandi;Gregory Kahn;Ronald S. Fearing;Sergey Levine

  • Reinforcement learning with deep energy-based policies

    Tuomas Haarnoja;Haoran Tang;Pieter Abbeel;Sergey Levine

  • Continuous deep Q-learning with model-based acceleration

    Shixiang Gu;Timothy Lillicrap;Ilya Sutskever;Sergey Levine

  • DeepMimic: example-guided deep reinforcement learning of physics-based character skills

    Xue Bin Peng;Pieter Abbeel;Sergey Levine;Michiel van de Panne

  • PaLM-E: An Embodied Multimodal Language Model

    Unknown

  • Guided cost learning: deep inverse optimal control via policy optimization

    Chelsea Finn;Sergey Levine;Pieter Abbeel

  • Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    Aravind Rajeswaran;Vikash Kumar;Abhishek Gupta;Giulia Vezzani

  • Conservative Q-Learning for Offline Reinforcement Learning

    Aviral Kumar;Aurick Zhou;George Tucker;Sergey Levine

  • Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

    Kurtland Chua;Roberto Calandra;Rowan McAllister;Sergey Levine

  • D4RL: Datasets for Deep Data-Driven Reinforcement Learning

    Justin Fu;Aviral Kumar;Ofir Nachum;George Tucker

  • Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

    Sergey Levine;Peter Pastor;Alex Krizhevsky;Deirdre Quillen

  • Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

    Tianhe Yu;Deirdre Quillen;Zhanpeng He;Ryan Julian

Frequent Co-Authors

Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Chelsea Finn
Chelsea Finn Stanford University
Shixiang Gu
Shixiang Gu Google (United States)
Vikash Kumar
Vikash Kumar University of Washington
Trevor Darrell
Trevor Darrell University of California, Berkeley
Jitendra Malik
Jitendra Malik University of California, Berkeley
George Tucker
George Tucker Google (United States)
Yoshua Bengio
Yoshua Bengio University of Montreal
Anca D. Dragan
Anca D. Dragan University of California, Berkeley
Timothy P. Lillicrap
Timothy P. Lillicrap University College London

External Links

Personal website of Sergey Levine Google Scholar page

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Ken Goldberg

Ken Goldberg

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Publications: 56

Jan Peters

Jan Peters

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Publications: 55

Yoshua Bengio

Yoshua Bengio

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Publications: 47

Animesh Garg

Animesh Garg

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Publications: 47

Mykel J. Kochenderfer

Mykel J. Kochenderfer

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Publications: 43

Li Fei-Fei

Li Fei-Fei

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Publications: 42

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Abhinav Gupta

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Publications: 42

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Anca D. Dragan

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Publications: 40

Joshua B. Tenenbaum

Joshua B. Tenenbaum

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Publications: 40

Honglak Lee

Honglak Lee

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Publications: 39

Shimon Whiteson

Shimon Whiteson

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