World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
103
Citations
92211
World Ranking
315
National Ranking
19

Andrea Vedaldi 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 Andrea Vedaldi 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: 296 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Andrea Vedaldi 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 Andrea Vedaldi 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: 103 D-Index — 98th percentile

98% 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

Overview

Andrea Vedaldi is affiliated with the University of Oxford in the United Kingdom. Their research activity is primarily focused on the field of Computer Science, with a substantial number of publications advancing various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Signal Processing.

The scientist's work spans several main topics, such as:

  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Computer Graphics and Visualization Techniques
  • Advanced Image and Video Retrieval Techniques

Andrea Vedaldi has contributed significantly to scientific publishing, including numerous recent papers:

  • "Deep Image Prior" (2020), published in International Journal of Computer Vision
  • "Accurate brain age prediction with lightweight deep neural networks" (2020), Medical Image Analysis
  • "Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation" (2021), 2021 International Conference on 3D Vision (3DV)
  • "Generalized Category Discovery" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist frequently publishes in key venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Andrea Vedaldi has collaborated with several co-authors repeatedly, highlighting ongoing research partnerships with the following colleagues:

  • Christian Rupprecht (46 collaborations)
  • Iro Laina (31 collaborations)
  • Andrew Zisserman (24 collaborations)
  • David Novotný (24 collaborations)
  • Natalia Neverova (22 collaborations)

In addition to articles and papers, Vedaldi has contributed to book publications, particularly with Springer Science+Business Media. Notably, numerous contributions have been made to collections titled "Computer Vision - ECCV 2020," released in 2020.

Best Publications

  • Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

    Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Deep face recognition

    Omkar M. Parkhi;Andrea Vedaldi;Andrew Zisserman

  • Fully-Convolutional Siamese Networks for Object Tracking

    Luca Bertinetto;Jack Valmadre;João F. Henriques;Andrea Vedaldi

  • Instance Normalization: The Missing Ingredient for Fast Stylization.

    Dmitry Ulyanov;Andrea Vedaldi;Victor S. Lempitsky

  • Return of the Devil in the Details: Delving Deep into Convolutional Nets

    Ken Chatfield;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Vlfeat: an open and portable library of computer vision algorithms

    Andrea Vedaldi;Brian Fulkerson

  • MatConvNet: Convolutional Neural Networks for MATLAB

    Andrea Vedaldi;Karel Lenc

  • Describing Textures in the Wild

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Sammy Mohamed

  • Understanding deep image representations by inverting them

    Aravindh Mahendran;Andrea Vedaldi

  • Deep Image Prior

    Victor Lempitsky;Andrea Vedaldi;Dmitry Ulyanov

  • Interpretable Explanations of Black Boxes by Meaningful Perturbation

    Ruth C. Fong;Andrea Vedaldi

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • End-to-End Representation Learning for Correlation Filter Based Tracking

    Jack Valmadre;Luca Bertinetto;Joao Henriques;Andrea Vedaldi

  • Efficient Additive Kernels via Explicit Feature Maps

    A. Vedaldi;A. Zisserman

  • Synthetic Data for Text Localisation in Natural Images

    Ankush Gupta;Andrea Vedaldi;Andrew Zisserman

  • Speeding up Convolutional Neural Networks with Low Rank Expansions

    Max Jaderberg;Andrea Vedaldi;Andrew Zisserman

  • Cats and dogs

    Omkar M Parkhi;Andrea Vedaldi;Andrew Zisserman;C. V. Jawahar

  • Fine-Grained Visual Classification of Aircraft

    Subhransu Maji;Esa Rahtu;Juho Kannala;Matthew B. Blaschko

  • Deep Image Prior

    Dmitry Ulyanov;Andrea Vedaldi;Victor S. Lempitsky

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
Hakan Bilen
Hakan Bilen University of Edinburgh
Karen Simonyan
Karen Simonyan DeepMind (United Kingdom)
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Iasonas Kokkinos
Iasonas Kokkinos University College London
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Victor Lempitsky
Victor Lempitsky Samsung (South Korea)
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Niloy J. Mitra
Niloy J. Mitra University College London
Ingmar Posner
Ingmar Posner University of Oxford

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