World's Best Scientists 2026 revealed!
Joelle Pineau

Joelle Pineau

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
40375
World Ranking
1632
National Ranking
55

Joelle Pineau 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 Joelle Pineau 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Joelle Pineau 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 Joelle Pineau sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 72 D-Index — 89th percentile

89% 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 Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to reinforcement learning, including planning and learning in complex partially-observable domains, and applications in robotics and healthcare.

Overview

Joelle Pineau is affiliated with McGill University in Canada and has a substantial body of research mainly in the field of computer science. Their work has contributed extensively to artificial intelligence, with significant publications in reinforcement learning and its applications across robotics and healthcare.

The main field of study for Pineau is computer science, with a focus on several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Radiology, Nuclear Medicine and Imaging
  • Statistical and Nonlinear Physics

The topics covered in their research reflect a broad and interdisciplinary approach:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Advanced Bandit Algorithms Research

Pineau's recent papers reflect ongoing work in reproducibility and environmental impact in machine learning, as well as language modeling approaches. Notable publications include:

  • Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program), 2020, arXiv (Cornell University)
  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning, 2020, arXiv (Cornell University)
  • Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Their frequent coauthors include Koustuv Sinha, Amy Zhang, Douwe Kiela, Doina Precup, and Iulian Vlad Serban, indicating collaboration across various aspects of artificial intelligence research.

Joelle Pineau has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Nature Machine Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Artificial Intelligence Research

Recognized by the Association for the Advancement of Artificial Intelligence, Pineau was named a Fellow in 2018 for contributions that include planning and learning in complex, partially observable domains and practical applications in robotics and healthcare.

Best Publications

  • Proceedings of the 29th International Conference on Machine Learning (ICML-12)

    John Langford;Joelle Pineau

  • Building end-to-end dialogue systems using generative hierarchical neural network models

    Iulian V. Serban;Alessandro Sordoni;Yoshua Bengio;Aaron Courville

  • Deep Reinforcement Learning That Matters

    Peter Henderson;Riashat Islam;Philip Bachman;Joelle Pineau

  • An Introduction to Deep Reinforcement Learning

    Vincent François-Lavet;Peter Henderson;Riashat Islam;Marc G. Bellemare

  • Point-based value iteration: an anytime algorithm for POMDPs

    Joelle Pineau;Geoff Gordon;Sebastian Thrun

  • How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

    Chia-Wei Liu;Ryan Lowe;Iulian Vlad Serban;Michael Noseworthy

  • A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

    Iulian Vlad Serban;Alessandro Sordoni;Ryan Lowe;Laurent Charlin

  • The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

    Ryan Lowe;Nissan Pow;Iulian Serban;Joelle Pineau

  • Towards robotic assistants in nursing homes: Challenges and results

    Joelle Pineau;Michael Montemerlo;Martha E. Pollack;Nicholas Roy

  • A survey of point-based POMDP solvers

    Guy Shani;Joelle Pineau;Robert Kaplow

  • Online planning algorithms for POMDPs

    Stéphane Ross;Joelle Pineau;Sébastien Paquet;Brahim Chaib-draa

  • An Actor-Critic Algorithm for Sequence Prediction

    Dzmitry Bahdanau;Philemon Brakel;Kelvin Xu;Anirudh Goyal

  • Anytime point-based approximations for large POMDPs

    Joelle Pineau;Geoffrey Gordon;Sebastian Thrun

  • The Second Conversational Intelligence Challenge (ConvAI2)

    Emily Dinan;Varvara Logacheva;Valentin Malykh;Alexander H. Miller

  • The importance of transparency and reproducibility in artificial intelligence research

    Benjamin Haibe-Kains;George Alexandru Adam;Ahmed Hosny;Farnoosh Khodakarami

  • Towards an automatic Turing test: Learning to evaluate dialogue responses.

    Ryan Lowe;Michael Noseworthy;Iulian Vlad Serban;Nicolas Angelard-Gontier

  • Experiences with a mobile robotic guide for the elderly

    Michael Montemerlo;Joelle Pineau;Nicholas Roy;Sebastian Thrun

  • Bayesian Reinforcement Learning: A Survey

    Mohammad Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

  • Pearl: A Mobile Robotic Assistant for the Elderly

    Martha E. Pollack;Laura Brown;Dirk Colbry;Cheryl Orosz

  • Spoken dialogue management using probabilistic reasoning

    Nicholas Roy;Joelle Pineau;Sebastian Thrun

  • Convex Optimization: Algorithms and Complexity

    Mohammed Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

Frequent Co-Authors

Doina Precup
Doina Precup McGill University
Yoshua Bengio
Yoshua Bengio University of Montreal
Peter Henderson
Peter Henderson University of Oxford
Aaron Courville
Aaron Courville University of Montreal
Sebastian Thrun
Sebastian Thrun Stanford University
Brahim Chaib-draa
Brahim Chaib-draa Université Laval
Douwe Kiela
Douwe Kiela Stanford University
Jakob Foerster
Jakob Foerster University of Oxford
Michael Rabbat
Michael Rabbat Facebook (United States)

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