World's Best Scientists 2026 revealed!
Brahim Chaib-draa

Brahim Chaib-draa

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
6707
World Ranking
8905
National Ranking
359

Brahim Chaib-draa publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Brahim Chaib-draa sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 231 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Brahim Chaib-draa D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Brahim Chaib-draa sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Brahim Chaib-draa is affiliated with Université Laval in Canada and has contributed extensively to the field of computer science, with a focus on artificial intelligence and computer vision. The primary areas of their research include domain adaptation, few-shot learning, multimodal machine learning applications, and advanced image and video retrieval techniques.

The scientist's work spans several key topics:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • Machine Learning and Extreme Learning Machines (ELM)
  • Indoor and Outdoor Localization Technologies
  • Machine Learning and Data Classification

Brahim Chaib-draa frequently publishes in notable venues such as:

  • arXiv (Cornell University)
  • Neurocomputing
  • Neural Networks
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Knowledge-Based Systems

Among recent publications, several papers stand out including:

  • "MixVPR: Feature Mixing for Visual Place Recognition" (2023) published at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "GSV-Cities: Toward appropriate supervised visual place recognition" (2022) in Neurocomputing
  • "Domain generalization via optimal transport with metric similarity learning" (2021) in Neurocomputing
  • "Discriminative active learning for domain adaptation" (2021) in Knowledge-Based Systems
  • "On the value of label and semantic information in domain generalization" (2023) in Neural Networks

Collaboration plays a significant role in their research, with frequent co-authors including:

  • Philippe Giguère
  • Fan Zhou
  • Boyu Wang
  • Amar Ali-bey
  • Changjian Shui

Brahim Chaib-draa's research profile reflects a consistent focus on advancing machine learning methods for visual recognition, domain generalization, and localization technologies. Their contributions span over thirty publications primarily in computer science with a specialized emphasis on artificial intelligence and computer vision domains.

Best Publications

  • Online planning algorithms for POMDPs

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

  • Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach

    C. Desjardins;B. Chaib-draa

  • An overview of distributed artificial intelligence

    Bernard Moulin;Brahim Chaib-draa

  • Trends in distributed artificial intelligence

    Brahim Chaib-draa;Bernard Moulin;René Mandiau;P. Millot

  • Trends in Agent Communication Language

    Brahim Chaib-draa;Frank Dignum

  • Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

    Ludovic Trottier;Philippe Gigure;Brahim Chaib-draa

  • A collaborative driving system based on multiagent modelling and simulations

    Simon Hallé;Brahim Chaib-draa

  • Information Sharing as a Coordination Mechanism for Reducing the Bullwhip Effect in a Supply Chain

    T. Moyaux;B. Chaib-draa;S. D'Amours

  • MixVPR: Feature Mixing for Visual Place Recognition

    Unknown

  • Bayes-Adaptive POMDPs

    Stephane Ross;Brahim Chaib-draa;Joelle Pineau

  • Supply Chain Management and Multiagent Systems: An Overview

    Thierry Moyaux;Brahim Chaib-draa;Sophie D'Amours

  • A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes

    Stéphane Ross;Joelle Pineau;Brahim Chaib-draa;Pierre Kreitmann

  • Commitment-based and dialogue-game-based protocols: new trends in agent communication languages

    N. Maudet;B. Chaib-Draa

  • An online POMDP algorithm for complex multiagent environments

    Sébastien Paquet;Ludovic Tobin;Brahim Chaib-draa

  • Causal maps: theory, implementation, and practical applications in multiagent environments

    B. Chaib-draa

  • GSV-Cities: Toward appropriate supervised visual place recognition

    Unknown

  • Multiagent based Supply Chain Management

    Brahim Chaib-draa;Jrg P. Mller

  • Modelling flexible social commitments and their enforcement

    Philippe Pasquier;Roberto A. Flores;Brahim Chaib-Draa

  • A simulation approach based on negotiation and cooperation between agents: a case study

    K. Fischer;B. Chaib-draa;J.P. Muller;M. Pischel

  • A decentralized approach to collaborative driving coordination

    S. Halle;J. Laumonier;B. Chaib-Draa

  • Bayesian reinforcement learning in continuous POMDPs with application to robot navigation

    S. Ross;B. Chaib-draa;J. Pineau

  • AEMS: an anytime online search algorithm for approximate policy refinement in large POMDPs

    Stéphane Ross;Brahim Chaib-Draa

Frequent Co-Authors

Jamal Bentahar
Jamal Bentahar Concordia University
Sophie D'Amours
Sophie D'Amours Université Laval
Joelle Pineau
Joelle Pineau McGill University
John-Jules Ch. Meyer
John-Jules Ch. Meyer Utrecht University
François Laviolette
François Laviolette Université Laval
Marcel A. J. van Gerven
Marcel A. J. van Gerven Radboud University
Nicolas Maudet
Nicolas Maudet Sorbonne University
Raquel Urtasun
Raquel Urtasun University of Toronto
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute

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