World's Best Scientists 2026 revealed!
Nikos Komodakis

Nikos Komodakis

D-Index & Metrics

Computer Science

D-Index
52
Citations
26610
World Ranking
4945
National Ranking
25

Nikos Komodakis 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 Nikos Komodakis 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Nikos Komodakis 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 Nikos Komodakis 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

Nikos Komodakis is a researcher affiliated with the University of Crete in Greece. Their academic work primarily focuses on the broad field of Computer Science, with a particular emphasis on areas within Computer Vision and Pattern Recognition and Artificial Intelligence.

The researcher has contributed extensively to several subfields, including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Radiation. Their work spans topics such as Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, and Medical Image Segmentation Techniques.

Nikos Komodakis has published numerous papers in various scientific venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • Remote Sensing
  • Information Processing & Management
  • Lecture Notes in Computer Science
  • Radiotherapy and Oncology

Their recent papers include:

  • "MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing," 2021, Remote Sensing
  • "Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library," 2022, Information Processing & Management
  • "What to Hide from Your Students: Attention-Guided Masked Image Modeling," 2022, arXiv (Cornell University)
  • "DINO-Foresight: Looking into the Future with DINO," 2024, arXiv (Cornell University)
  • "Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers," 2025, arXiv (Cornell University)

Collaborations form an important part of their research activities. Nikos Komodakis frequently collaborates with other researchers, including:

  • Spyros Gidaris
  • Ioannis Kakogeorgiou
  • Nikos Paragios
  • Andrei Bursuc
  • Κωνσταντίνος Καράντζαλος

Best Publications

  • Wide Residual Networks

    Sergey Zagoruyko;Nikos Komodakis

  • Unsupervised Representation Learning by Predicting Image Rotations

    Spyros Gidaris;Praveer Singh;Nikos Komodakis

  • Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer

    Sergey Zagoruyko;Nikos Komodakis

  • Learning to compare image patches via convolutional neural networks

    Sergey Zagoruyko;Nikos Komodakis

  • Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

    Martin Simonovsky;Nikos Komodakis

  • Dynamic Few-Shot Visual Learning Without Forgetting

    Spyros Gidaris;Nikos Komodakis

  • Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model

    Spyros Gidaris;Nikos Komodakis

  • GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

    Martin Simonovsky;Nikos Komodakis

  • Dense image registration through MRFs and efficient linear programming.

    Ben Glocker;Nikos Komodakis;Nikos Komodakis;Georgios Tziritas;Nassir Navab

  • Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning

    N. Komodakis;G. Tziritas

  • Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems

    Nikos Komodakis;Jean-Christophe Pesquet

  • MRF Energy Minimization and Beyond via Dual Decomposition

    N Komodakis;N Paragios;G Tziritas

  • Boosting Few-Shot Visual Learning With Self-Supervision

    Spyros Gidaris;Andrei Bursuc;Nikos Komodakis;Patrick Perez Perez

  • MRF Optimization via Dual Decomposition: Message-Passing Revisited

    N. Komodakis;N. Paragios;G. Tziritas

  • Image Completion Using Global Optimization

    N. Komodakis

  • Approximate Labeling via Graph Cuts Based on Linear Programming

    N. Komodakis;G. Tziritas

  • Building detection in very high resolution multispectral data with deep learning features

    M. Vakalopoulou;K. Karantzalos;N. Komodakis;N. Paragios

  • Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

    Chaohui Wang;Nikos Komodakis;Nikos Komodakis;Nikos Paragios;Nikos Paragios

  • A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems

    Jorg H. Kappes;Bjoern Andres;Fred A. Hamprecht;Christoph Schnorr

  • Fast, Approximately Optimal Solutions for Single and Dynamic MRFs

    N. Komodakis;G. Tziritas;N. Paragios

  • Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning

    Spyros Gidaris;Nikos Komodakis

Frequent Co-Authors

Nikos Paragios
Nikos Paragios CentraleSupélec
Georgios Tziritas
Georgios Tziritas University of Crete
Ben Glocker
Ben Glocker Imperial College London
Nassir Navab
Nassir Navab Technical University of Munich
Georg Langs
Georg Langs Medical University of Vienna
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Carsten Rother
Carsten Rother Heidelberg University
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Fred A. Hamprecht
Fred A. Hamprecht Heidelberg University

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