World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
38522
World Ranking
5993
National Ranking
360

Iasonas Kokkinos 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 Iasonas Kokkinos 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Iasonas Kokkinos 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 Iasonas Kokkinos 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Iasonas Kokkinos is a researcher affiliated with University College London in the United Kingdom. Their academic work spans multiple disciplines, with a primary focus on Computer Science, supplemented by significant contributions to Medicine and Engineering. The main subfields of study in their research portfolio include Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computational Mechanics, and Biomedical Engineering.

Their research covers a range of main topics, such as:

  • Advanced Neuroimaging Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications

Recent publications by Iasonas Kokkinos provide insight into their research interests and collaborative work. These include:

  • "Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results" (2020), published in NeuroImage
  • "I-Support: A robotic platform of an assistive bathing robot for the elderly population" (2020), published in Robotics and Autonomous Systems
  • "Expert-level automated malaria diagnosis on routine blood films with deep neural networks" (2020), published in American Journal of Hematology
  • "To The Point: Correspondence-driven monocular 3D category reconstruction" (2021), published in arXiv (Cornell University)
  • "Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation" (2020), published in Lecture notes in computer science

Frequently publishing venues demonstrate the scope and recurring platforms for their work, which prominently include:

  • arXiv (Cornell University), with 7 publications
  • Lecture notes in computer science, with 2 publications
  • NeuroImage
  • Robotics and Autonomous Systems
  • American Journal of Hematology

Their frequent co-authors, indicating close and ongoing collaborative relationships, include:

  • Eleni Chiou
  • Eleftheria Panagiotaki
  • Francesco Giganti
  • Shonit Punwani
  • Stefano B. Blumberg

Best Publications

  • DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

    Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy

  • Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

    Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy

  • Describing Textures in the Wild

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Sammy Mohamed

  • DensePose: Dense Human Pose Estimation in the Wild

    Riza Alp Guler;Natalia Neverova;Iasonas Kokkinos

  • Discriminative Learning of Deep Convolutional Feature Point Descriptors

    Edgar Simo-Serra;Eduard Trulls;Luis Ferraz;Iasonas Kokkinos

  • UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory

    Iasonas Kokkinos

  • Scale-invariant heat kernel signatures for non-rigid shape recognition

    Michael M. Bronstein;Iasonas Kokkinos

  • Deep Filter Banks for Texture Recognition, Description, and Segmentation

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Andrea Vedaldi

  • Discovering discriminative action parts from mid-level video representations

    Michalis Raptis;Iasonas Kokkinos;Stefano Soatto

  • HoloPose: Holistic 3D Human Reconstruction In-The-Wild

    Riza Alp Guler;Iasonas Kokkinos

  • Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection

    George Papandreou;Iasonas Kokkinos;Pierre-Andre Savalle

  • Dense Pose Transfer

    Natalia Neverova;Riza Alp Güler;Iasonas Kokkinos

  • Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

    Siddhartha Chandra;Iasonas Kokkinos

  • DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

    Riza Alp Guler;George Trigeorgis;Epameinondas Antonakos;Patrick Snape

  • Pushing the Boundaries of Boundary Detection using Deep Learning

    Iasonas Kokkinos

  • Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

    Dominik Kulon;Riza Alp Guler;Iasonas Kokkinos;Michael M. Bronstein

  • Intrinsic shape context descriptors for deformable shapes

    Iasonas Kokkinos;Michael M. Bronstein;Roee Litman;Alex M. Bronstein

  • Shape grammar parsing via Reinforcement Learning

    Olivier Teboul;Iasonas Kokkinos;Loic Simon;Panagiotis Koutsourakis

  • Attentive Single-Tasking of Multiple Tasks

    Kevis-Kokitsi Maninis;Ilija Radosavovic;Iasonas Kokkinos

  • Segmentation-Aware Convolutional Networks Using Local Attention Masks

    Adam W. Harley;Konstantinos G. Derpanis;Iasonas Kokkinos

  • Deforming autoencoders: Unsupervised disentangling of shape and appearance

    Zhixin Shu;Mihir Sahasrabudhe;Rıza Alp Güler;Dimitris Samaras

Frequent Co-Authors

Petros Maragos
Petros Maragos National Technical University of Athens
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Nikos Paragios
Nikos Paragios CentraleSupélec
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Niloy J. Mitra
Niloy J. Mitra University College London
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Samuel Kadoury
Samuel Kadoury Polytechnique Montréal

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