World's Best Scientists 2026 revealed!
Raquel Urtasun

Raquel Urtasun

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Best Female Scientists
2025
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Computer Science
Canada
2026

D-Index & Metrics

Best Female Scientists

D-Index
117
Citations
70645
World Ranking
630
National Ranking
19

Computer Science

D-Index
115
Citations
73033
World Ranking
185
National Ranking
5

Raquel Urtasun 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 Raquel Urtasun 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: 354 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Raquel Urtasun 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 Raquel Urtasun 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: 115 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in Canada Leader Award
  • 2025 - Research.com Best Female 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

Overview

Raquel Urtasun is affiliated with the University of Toronto in Canada. Their research focuses on various aspects of computer science and engineering, with significant contributions to fields including computer vision and pattern recognition, artificial intelligence, automotive engineering, aerospace engineering, and computational mechanics.

The scientist's work centers on key topics such as autonomous vehicle technology and safety, advanced neural network applications, video surveillance and tracking methods, advanced vision and imaging, human pose and action recognition, robotics and sensor-based localization, and anomaly detection techniques and applications.

Among their recent papers are the following:

  • Deep Continuous Fusion for Multi-Sensor 3D Object Detection, 2020, arXiv (Cornell University)
  • Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net, 2020, arXiv (Cornell University)
  • IntentNet: Learning to Predict Intention from Raw Sensor Data, 2021, arXiv (Cornell University)
  • HDNET: Exploiting HD Maps for 3D Object Detection, 2020, arXiv (Cornell University)
  • LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Raquel Urtasun has frequently published in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Lecture Notes in Computer Science
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Their collaboration network includes frequent co-authors:

  • Sergio Casas
  • Sivabalan Manivasagam
  • Ming Liang
  • Wei-Chiu Ma
  • Mengye Ren

Raquel Urtasun's publications prominently span the disciplines of computer science, with 204 publications, and engineering, with 103 publications. Subfields of study include extensive work in computer vision and pattern recognition with 141 publications, alongside contributions to artificial intelligence, automotive engineering, aerospace engineering, and computational mechanics.

Best Publications

  • Are we ready for autonomous driving? The KITTI vision benchmark suite

    Andreas Geiger;Philip Lenz;Raquel Urtasun

  • Vision meets robotics: The KITTI dataset

    A Geiger;P Lenz;C Stiller;R Urtasun

  • Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

    Yukun Zhu;Ryan Kiros;Rich Zemel;Ruslan Salakhutdinov

  • Skip-thought vectors

    Ryan Kiros;Yukun Zhu;Ruslan Salakhutdinov;Richard S. Zemel

  • Understanding the effective receptive field in deep convolutional neural networks

    Wenjie Luo;Yujia Li;Raquel Urtasun;Richard S. Zemel

  • The Role of Context for Object Detection and Semantic Segmentation in the Wild

    Roozbeh Mottaghi;Xianjie Chen;Xiaobai Liu;Nam-Gyu Cho

  • PIXOR: Real-time 3D Object Detection from Point Clouds

    Bin Yang;Wenjie Luo;Raquel Urtasun

  • Monocular 3D Object Detection for Autonomous Driving

    Xiaozhi Chen;Kaustav Kundu;Ziyu Zhang;Huimin Ma

  • Efficient large-scale stereo matching

    Andreas Geiger;Martin Roser;Raquel Urtasun

  • Deep Continuous Fusion for Multi-Sensor 3D Object Detection

    Ming Liang;Bin Yang;Shenlong Wang;Raquel Urtasun

  • Learning to Reweight Examples for Robust Deep Learning

    Mengye Ren;Wenyuan Zeng;Bin Yang;Raquel Urtasun

  • Efficient Deep Learning for Stereo Matching

    Wenjie Luo;Alexander G. Schwing;Raquel Urtasun

  • 3D object proposals for accurate object class detection

    Xiaozhi Chen;Kaustav Kundu;Yukun Zhu;Andrew Berneshawi

  • MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

    Marvin Teichmann;Michael Weber;Marius Zollner;Roberto Cipolla

  • Multi-Task Multi-Sensor Fusion for 3D Object Detection

    Ming Liang;Bin Yang;Yun Chen;Rui Hu

  • Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

    Wenjie Luo;Bin Yang;Raquel Urtasun

  • MovieQA: Understanding Stories in Movies through Question-Answering

    Makarand Tapaswi;Yukun Zhu;Rainer Stiefelhagen;Antonio Torralba

  • Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

    Xianjie Chen;Roozbeh Mottaghi;Xiaobai Liu;Sanja Fidler

  • Learning Lane Graph Representations for Motion Forecasting

    Ming Liang;Bin Yang;Rui Hu;Yun Chen

  • Deep Watershed Transform for Instance Segmentation

    Min Bai;Raquel Urtasun

  • 3D People Tracking with Gaussian Process Dynamical Models

    R. Urtasun;D.J. Fleet;P. Fua

  • MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

    Marvin Teichmann;Michael Weber;Marius Zoellner;Roberto Cipolla

Frequent Co-Authors

Sanja Fidler
Sanja Fidler University of Toronto
Renjie Liao
Renjie Liao University of British Columbia
Richard S. Zemel
Richard S. Zemel University of Toronto
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Trevor Darrell
Trevor Darrell University of California, Berkeley
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Andreas Geiger
Andreas Geiger University of Tübingen
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Dahua Lin
Dahua Lin Chinese University of Hong Kong

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