World's Best Scientists 2026 revealed!
Nikos Paragios

Nikos Paragios

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
78
Citations
31488
World Ranking
1174
National Ranking
13

Nikos Paragios 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 Paragios 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: 383 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Nikos Paragios 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 Paragios 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: 78 D-Index — 92nd percentile

92% 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 France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2011 - IEEE Fellow For contributions to continuous and discrete inference in computer vision

Overview

Nikos Paragios was affiliated with CentraleSupélec in France and contributed extensively to the fields of Medicine and Computer Science. Their research primarily spanned Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation, Artificial Intelligence, and Biomedical Engineering.

The scientist's main research topics included Radiomics and Machine Learning in Medical Imaging, Advanced Radiotherapy Techniques, Medical Imaging Techniques and Applications, AI in cancer detection, COVID-19 diagnosis using AI, Medical Image Segmentation Techniques, and Medical Imaging and Analysis.

They published frequently in the following venues:

  • Radiotherapy and Oncology
  • arXiv (Cornell University)
  • Lecture notes in computer science
  • International Journal of Radiation Oncology*Biology*Physics
  • Neurology

Co-authors who collaborated often with Paragios included:

  • Éric Deutsch
  • Maria Vakalopoulou
  • Marvin Lerousseau
  • Enzo Battistella
  • Alexandre Carré

Several recent papers from 2020 highlight the areas of Paragios's research:

  • Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics, 2020, Scientific Reports
  • AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia, 2020, Medical Image Analysis
  • Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells, 2020, Journal for ImmunoTherapy of Cancer
  • Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images, 2020, Radiology Artificial Intelligence
  • Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation, 2020, Frontiers in Computational Neuroscience

Paragios was recognized as an IEEE Fellow in 2011 for contributions to continuous and discrete inference in computer vision.

Best Publications

  • Deformable Medical Image Registration: A Survey

    A. Sotiras;C. Davatzikos;N. Paragios

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Geodesic active contours and level sets for the detection and tracking of moving objects

    N. Paragios;R. Deriche

  • "Geometric Level Set Methods in Imaging, Vision, and Graphics"

    Stanley Osher;Nikos Paragios

  • A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

    Roger Sun;Roger Sun;Elaine Johanna Limkin;Elaine Johanna Limkin;Maria Vakalopoulou;Maria Vakalopoulou;Laurent Dercle;Laurent Dercle

  • Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation

    Nikos Paragios;Rachid Deriche

  • Motion-based background subtraction using adaptive kernel density estimation

    A. Mittal;N. Paragios

  • Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.

    Elaine Limkin;Roger Sun;Roger Sun;Laurent Dercle;Evangelia Zacharaki

  • Shape Priors for Level Set Representations

    Mikael Rousson;Nikos Paragios

  • Background modeling and subtraction of dynamic scenes

    Monnet;Mittal;Paragios;Visvanathan Ramesh

  • Dense image registration through MRFs and efficient linear programming.

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

  • Handbook of Mathematical Models in Computer Vision

    Nikos Paragios;Yunmei Chen;Olivier D. Faugeras

  • Data fusion through cross-modality metric learning using similarity-sensitive hashing

    Michael M. Bronstein;Alexander M. Bronstein;Fabrice Michel;Nikos Paragios

  • Geodesic Active Regions

    Nikos Paragios;Rachid Deriche

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting

    Yangming Ou;Aristeidis Sotiras;Aristeidis Sotiras;Nikos Paragios;Nikos Paragios;Christos Davatzikos

  • A level set approach for shape-driven segmentation and tracking of the left ventricle

    N. Paragios

  • Gradient vector flow fast geodesic active contours

    N. Paragios;O. Mellina-Gottardo;V. Ramesh

  • MRF Energy Minimization and Beyond via Dual Decomposition

    N Komodakis;N Paragios;G Tziritas

  • Gradient vector flow fast geometric active contours

    N. Paragios;O. Mellina-Gottardo;V. Ramesh

Frequent Co-Authors

Nikos Komodakis
Nikos Komodakis 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
Dimitris Samaras
Dimitris Samaras Stony Brook University
Georgios Tziritas
Georgios Tziritas University of Crete
Samuel Kadoury
Samuel Kadoury Polytechnique Montréal
Iasonas Kokkinos
Iasonas Kokkinos University College London
Rachid Deriche
Rachid Deriche French Institute for Research in Computer Science and Automation - INRIA
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne

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