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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
100
Citations
70117
World Ranking
358
National Ranking
26

Roberto Cipolla 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 Roberto Cipolla 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: 544 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.

Roberto Cipolla 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 Roberto Cipolla 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: 100 D-Index — 97th percentile

97% 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 United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to geometric models in computer vision and scene understanding
  • 2013 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2010 - Fellow of the Royal Academy of Engineering (UK)

Overview

Roberto Cipolla is affiliated with the University of Cambridge in the United Kingdom. Their research predominantly focuses on computer vision and engineering, with specific contributions in the fields of computer vision and pattern recognition, aerospace engineering, computational mechanics, computer graphics and computer-aided design, and artificial intelligence.

The scientist has worked extensively on topics including advanced vision and imaging, human pose and action recognition, robotics and sensor-based localization, 3D shape modeling and analysis, advanced image and video retrieval techniques, video surveillance and tracking methods, and computer graphics and visualization techniques.

Roberto Cipolla's recent scholarly output comprises a number of papers published in notable venues:

  • FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DigiFace-1M: 1 Million Digital Face Images for Face Recognition, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The frequent co-authors collaborating with Roberto Cipolla include Ignas Budvytis, Gwangbin Bae, Fotios Logothetis, Akash Sengupta, and Stephan Liwicki.

In terms of publication venues, their work often appears in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Robotics and Automation Letters

Roberto Cipolla has also contributed to book publications, including one published by Springer Science+Business Media titled "Image Analysis and Processing - ICIAP 2022" in 2022.

Recognition for their work includes the following awards:

  • Fellow of the International Association for Pattern Recognition (IAPR), 2020, for contributions to geometric models in computer vision and scene understanding
  • Distinguished Fellow of the British Machine Vision Association (BMVA), 2013
  • Fellow of the Royal Academy of Engineering (UK), 2010

Best Publications

  • SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

    Vijay Badrinarayanan;Alex Kendall;Roberto Cipolla

  • KAAS: an automatic genome annotation and pathway reconstruction server

    Yuki Moriya;Masumi Itoh;Shujiro Okuda;Akiyasu C. Yoshizawa

  • Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

    Roberto Cipolla;Yarin Gal;Alex Kendall

  • PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

    Alex Kendall;Matthew Grimes;Roberto Cipolla

  • Semantic object classes in video: A high-definition ground truth database

    Gabriel J. Brostow;Julien Fauqueur;Roberto Cipolla

  • Semantic texton forests for image categorization and segmentation

    J. Shotton;M. Johnson;R. Cipolla

  • Segmentation and Recognition Using Structure from Motion Point Clouds

    Gabriel J. Brostow;Jamie Shotton;Julien Fauqueur;Roberto Cipolla

  • SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

    Vijay Badrinarayanan;Alex Kendall;Roberto Cipolla

  • Real-time visual tracking of complex structures

    T. Drummond;R. Cipolla

  • Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

    Alex Kendall;Vijay Badrinarayanan;Roberto Cipolla

  • Geometric Loss Functions for Camera Pose Regression with Deep Learning

    Alex Kendall;Roberto Cipolla

  • SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

    Vijay Badrinarayanan;Ankur Handa;Roberto Cipolla

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

    Marvin Teichmann;Michael Weber;Marius Zollner;Roberto Cipolla

  • Multiscale Categorical Object Recognition Using Contour Fragments

    J. Shotton;A. Blake;R. Cipolla

  • Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations

    Tae-Kyun Kim;J. Kittler;R. Cipolla

  • Model-based hand tracking using a hierarchical Bayesian filter

    B. Stenger;A. Thayananthan;P.H.S. Torr;R. Cipolla

  • Feature-based human face detection

    Kin Choong Yow;Roberto Cipolla

  • Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency

    G. Vogiatzis;C. Hernandez;P.H.S. Torr;R. Cipolla

  • Unsupervised Bayesian Detection of Independent Motion in Crowds

    G.J. Brostow;R. Cipolla

  • Robust structure from motion using motion parallax

    R. Cipolla;Y. Okamoto;Y. Kuno

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

    Marvin Teichmann;Michael Weber;Marius Zoellner;Roberto Cipolla

Frequent Co-Authors

Bjorn Stenger
Bjorn Stenger Rakuten (Japan)
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Ognjen Arandjelovic
Ognjen Arandjelovic University of St Andrews
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Tom Drummond
Tom Drummond Monash University
Andrew Blake
Andrew Blake University of Cambridge
Gabriel J. Brostow
Gabriel J. Brostow University College London
Jamie Shotton
Jamie Shotton Microsoft (United States)

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