World's Best Scientists 2026 revealed!
Wojciech Zaremba

Wojciech Zaremba

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
32
Citations
50233
World Ranking
960
National Ranking
155

Computer Science

D-Index
32
Citations
47467
World Ranking
12825
National Ranking
5165

Wojciech Zaremba 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 Wojciech Zaremba 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: 47 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Wojciech Zaremba 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 Wojciech Zaremba 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Wojciech Zaremba is affiliated with OpenAI in the United States and specializes primarily in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Ophthalmology, Control and Systems Engineering, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

Their work covers a diverse range of main topics such as Machine Learning and Data Classification, Reinforcement Learning in Robotics, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Neural Networks and Applications, Model Reduction and Neural Networks, as well as Glaucoma and retinal disorders.

Zaremba's frequent coauthors include Matthias Plappert, Ilya Sutskever, Mark Chen, Qiming Yuan, and Henrique Pondé de Oliveira Pinto, reflecting collaborations across multiple research efforts.

They have published extensively in venues including arXiv (Cornell University), Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and the Journal of Clinical Medicine.

Notable recent papers authored or coauthored by Zaremba include:

  • Evaluating Large Language Models Trained on Code (2021), published in arXiv (Cornell University)
  • Can We Trust AI-Powered Real-Time Embedded Systems? (Invited Paper) (2022), published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Asymmetric self-play for automatic goal discovery in robotic manipulation (2021), published in arXiv (Cornell University)
  • Endothelin-1 Serum Concentration is Lower in Children and Adolescents with High Myopia, a Preliminary Study (2020), published in Journal of Clinical Medicine
  • A Generalizable Approach to Learning Optimizers (2021), published in arXiv (Cornell University)

Best Publications

  • Intriguing properties of neural networks

    Christian Szegedy;Wojciech Zaremba;Ilya Sutskever;Joan Bruna

  • Improved techniques for training GANs

    Tim Salimans;Ian Goodfellow;Wojciech Zaremba;Vicki Cheung

  • Spectral Networks and Locally Connected Networks on Graphs

    Joan Bruna;Wojciech Zaremba;Arthur Szlam;Yann LeCun

  • Recurrent Neural Network Regularization

    Wojciech Zaremba;Ilya Sutskever;Oriol Vinyals

  • Domain randomization for transferring deep neural networks from simulation to the real world

    Josh Tobin;Rachel Fong;Alex Ray;Jonas Schneider

  • An Empirical Exploration of Recurrent Network Architectures

    Rafal Jozefowicz;Wojciech Zaremba;Wojciech Zaremba;Ilya Sutskever

  • Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

    Emily L Denton;Wojciech Zaremba;Joan Bruna;Yann LeCun

  • Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

    Xue Bin Peng;Marcin Andrychowicz;Wojciech Zaremba;Pieter Abbeel

  • Learning dexterous in-hand manipulation:

    OpenAI: Marcin Andrychowicz;Bowen Baker;Maciek Chociej;Rafal Józefowicz

  • Evaluating Large Language Models Trained on Code

    Mark Chen;Jerry Tworek;Heewoo Jun;Qiming Yuan

  • Sequence Level Training with Recurrent Neural Networks

    Marc'Aurelio Ranzato;Sumit Chopra;Michael Auli;Wojciech Zaremba

  • Hindsight Experience Replay

    Marcin Andrychowicz;Filip Wolski;Alex Ray;Jonas Schneider

  • OpenAI Gym

    Greg Brockman;Vicki Cheung;Ludwig Pettersson;Jonas Schneider

  • Addressing the Rare Word Problem in Neural Machine Translation

    Thang Luong;Ilya Sutskever;Quoc Le;Oriol Vinyals

  • Overcoming Exploration in Reinforcement Learning with Demonstrations

    Ashvin Nair;Bob McGrew;Marcin Andrychowicz;Wojciech Zaremba

  • Solving Rubik's Cube with a Robot Hand.

    OpenAI;Ilge Akkaya;Marcin Andrychowicz;Maciek Chociej

  • Hindsight Experience Replay

    Marcin Andrychowicz;Filip Wolski;Alex Ray;Jonas Schneider

  • Learning to Execute

    Wojciech Zaremba;Ilya Sutskever

  • One-Shot Imitation Learning

    Yan Duan;Marcin Andrychowicz;Bradly Stadie;OpenAI Jonathan Ho

  • Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

    Matthias Plappert;Marcin Andrychowicz;Alex Ray;Bob McGrew

  • Addressing the Rare Word Problem in Neural Machine Translation

    Minh-Thang Luong;Ilya Sutskever;Quoc V. Le;Oriol Vinyals

  • One-Shot Imitation Learning

    Yan Duan;Marcin Andrychowicz;Bradly C. Stadie;Jonathan Ho

Frequent Co-Authors

Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Rob Fergus
Rob Fergus New York University
Joan Bruna
Joan Bruna New York University
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Yann LeCun
Yann LeCun Facebook (United States)
Ian Goodfellow
Ian Goodfellow Google (United States)
Sumit Chopra
Sumit Chopra New York University
Vikash Kumar
Vikash Kumar University of Washington

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