World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11775
World Ranking
5050
National Ranking
106

Paolo Favaro 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 Paolo Favaro 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Paolo Favaro 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 Paolo Favaro 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Paolo Favaro is affiliated with the University of Bern in Switzerland and has concentrated their research primarily in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Cognitive Neuroscience, and Physiology.

Their publication record includes a notable presence in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Favaro's research topics cover a range of advanced and specialized areas, including:

  • Advanced Vision and Imaging
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Obstructive Sleep Apnea Research
  • Advanced Fluorescence Microscopy Techniques
  • EEG and Brain-Computer Interfaces

Their recent papers illustrate a focus on machine learning applications to imaging and sleep research, including:

  • DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates, 2021, arXiv (Cornell University)
  • ISD: Self-Supervised Learning by Iterative Similarity Distillation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images, 2021, IEEE Transactions on Computational Imaging
  • U-Sleep's resilience to AASM guidelines, 2023, npj Digital Medicine
  • Semi-supervised Vision Transformers at Scale, 2022, arXiv (Cornell University)

Favaro has collaborated frequently with a number of researchers. Frequent coauthors include:

  • Aram Davtyan
  • Sepehr Sameni
  • Josué Page Vizcaíno
  • Abdelhak Lemkhenter
  • Luigi Fiorillo

Best Publications

  • Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

    Mehdi Noroozi;Paolo Favaro

  • Low rank subspace clustering (LRSC)

    René Vidal;Paolo Favaro

  • Structure from motion causally integrated over time

    A. Chiuso;P. Favaro;Hailin Jin;S. Soatto

  • The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution

    T. E. Bishop;P. Favaro

  • A geometric approach to shape from defocus

    P. Favaro;S. Soatto

  • Representation Learning by Learning to Count

    Mehdi Noroozi;Hamed Pirsiavash;Paolo Favaro

  • A closed form solution to robust subspace estimation and clustering

    Paolo Favaro;Rene Vidal;Avinash Ravichandran

  • Total Variation Blind Deconvolution: The Devil Is in the Details

    Daniele Perrone;Paolo Favaro

  • Light field superresolution

    Tom E. Bishop;Sara Zanetti;Paolo Favaro

  • Boosting Self-Supervised Learning via Knowledge Transfer

    Mehdi Noroozi;Ananth Vinjimoor;Paolo Favaro;Hamed Pirsiavash

  • Automated sleep scoring: A review of the latest approaches.

    Luigi Fiorillo;Alessandro Puiatti;Michela Papandrea;Pietro-Luca Ratti

  • Real-time feature tracking and outlier rejection with changes in illumination

    Hailin Jin;P. Favaro;S. Soatto

  • Shape from Defocus via Diffusion

    P. Favaro;S. Soatto;M. Burger;S.J. Osher

  • Faceshop: deep sketch-based face image editing

    Tiziano Portenier;Qiyang Hu;Attila Szabó;Siavash Arjomand Bigdeli

  • Motion Deblurring in the Wild

    Mehdi Noroozi;Paramanand Chandramouli;Paolo Favaro

  • Full-resolution depth map estimation from an aliased plenoptic light field

    Tom E. Bishop;Paolo Favaro

  • Observing Shape from Defocused Images

    Paolo Favaro;Andrea Mennucci;Stefano Soatto

  • Self-Supervised Feature Learning by Learning to Spot Artifacts

    Simon Jenni;Paolo Favaro

  • Learning to Extract a Video Sequence from a Single Motion-Blurred Image

    Meiguang Jin;Givi Meishvili;Paolo Favaro

  • A semi-direct approach to structure from motion

    Hailin Jin;Paolo Favaro;Stefano Soatto

  • Deep Mean-Shift Priors for Image Restoration

    Siavash Arjomand Bigdeli;Matthias Zwicker;Paolo Favaro;Meiguang Jin

  • Dynamic Texture Segmentation

    Gianfranco Doretto;Daniel Cremers;Paolo Favaro;Stefano Soatto

Frequent Co-Authors

Stefano Soatto
Stefano Soatto University of California, Los Angeles
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Hailin Jin
Hailin Jin Adobe Systems (United States)
Hamed Pirsiavash
Hamed Pirsiavash University of California, Davis
René Vidal
René Vidal University of Pennsylvania
Roberto Cipolla
Roberto Cipolla University of Cambridge
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Alessandro Chiuso
Alessandro Chiuso University of Padua
Andrea L. Bertozzi
Andrea L. Bertozzi University of California, Los Angeles
Paulo Oliveira
Paulo Oliveira University of Lisbon

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