World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
20663
World Ranking
5205
National Ranking
108

Mauricio Reyes 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 Mauricio Reyes 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: 239 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Mauricio Reyes 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 Mauricio Reyes 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Mauricio Reyes is affiliated with the University of Bern in Switzerland and has an extensive research portfolio primarily focused on medical imaging and its intersection with artificial intelligence. Their work encompasses a variety of fields and topics related to computer science and medicine, with a strong emphasis on radiology and image analysis validation.

Reyes has contributed significantly to several main fields of study, including:

  • Medicine
  • Computer Science

Their research also spans several specialized subfields, such as:

  • Radiology, Nuclear Medicine and Imaging
  • Neurology
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering

Key research topics covered in their publications include:

  • Radiomics and Machine Learning in Medical Imaging
  • Brain Tumor Detection and Classification
  • Medical Imaging and Analysis
  • Medical Image Segmentation Techniques
  • Acute Ischemic Stroke Management
  • Glioma Diagnosis and Treatment
  • COVID-19 diagnosis using AI

Among their recent notable papers are:

  • "On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities," 2020, Radiology Artificial Intelligence
  • "Metrics reloaded: recommendations for image analysis validation," 2024, Nature Methods
  • "Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update," 2024, Radiology Artificial Intelligence
  • "Understanding metric-related pitfalls in image analysis validation," 2024, Nature Methods
  • "Dual-stream pyramid registration network," 2022, Medical Image Analysis

Reyes frequently collaborates with a number of researchers, including Suhang You, Roland Wiest, Ekin Ermiş, Robert Poel, and Bjoern Menze.

Their publications appear predominantly in these venues:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Medical Image Analysis
  • Scientific Data
  • IEEE Transactions on Medical Imaging

Their contributions to the literature also include book chapters published by Springer Science+Business Media, covering topics such as machine intelligence interpretability and medical image computing in volumes published between 2021 and 2023.

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • The Multimodal Brain TumorImage Segmentation Benchmark (BRATS)

    Bjoern Menze;Mauricio Reyes;Koen Van Leemput;Nicole Porz

  • 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

  • A survey of MRI-based medical image analysis for brain tumor studies

    Stefan Bauer;Roland Wiest;Lutz-Peter Nolte;Mauricio Reyes

  • ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

    Oskar Maier;Bjoern H. Menze;Janina von der Gablentz;Levin Häni

  • Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization

    Stefan Bauer;Lutz-P. Nolte;Mauricio Reyes

  • On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

    Mauricio Reyes;Raphael Meier;Sérgio Pereira;Carlos A Silva

  • Federated learning enables big data for rare cancer boundary detection

    Unknown

  • Comparison of Actual Surgical Outcomes and 3-Dimensional Surgical Simulations

    Scott Tucker;Lucia Helena Soares Cevidanes;Martin Styner;Hyungmin Kim

  • Three-dimensional surgical simulation

    Lucia H.C. Cevidanes;Scott Tucker;Martin Styner;Hyungmin Kim

  • Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

    Sérgio Pereira;Raphael Meier;Victor Alves;Mauricio Reyes

  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.

    Stefan Winzeck;Arsany Hakim;Richard McKinley;José A. A. D. S. R. Pinto

  • Multi-modal glioblastoma segmentation: man versus machine.

    Nicole Porz;Stefan Bauer;Alessia Pica;Philippe Schucht

  • Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Jean-Philippe Thiran;Mauricio Reyes

  • Dual-stream pyramid registration network

    Unknown

  • Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

    Raphael Meier;Urspeter Knecht;Tina Loosli;Stefan Bauer

  • Multiscale Modeling for Image Analysis of Brain Tumor Studies

    S. Bauer;C. May;D. Dionysiou;G. Stamatakos

  • Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

    Alain Jungo;Mauricio Reyes

  • Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.

    Sérgio Pereira;Raphael Meier;Richard McKinley;Roland Wiest

  • Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features

    Emmanuel Rios Velazquez;Raphael Meier;William D. Dunn;Brian Alexander

  • Model-based respiratory motion compensation for emission tomography image reconstruction.

    M Reyes;G Malandain;P M Koulibaly;M A González-Ballester

  • A Hybrid Model for Multimodal Brain Tumor Segmentation

    Raphael Meier;Stefan Bauer;Johannes Slotboom;Roland Wiest

  • Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets

    Nina Kozic;Stefan Weber;Philippe Büchler;Christian Lutz

  • On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation

    Alain Jungo;Raphael Meier;Ekin Ermis;Marcela Blatti-Moreno

Frequent Co-Authors

Lutz-Peter Nolte
Lutz-Peter Nolte University of Bern
Carlos A. Silva
Carlos A. Silva University of Florida
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Philippe C. Cattin
Philippe C. Cattin University of Basel
Koen Van Leemput
Koen Van Leemput Harvard University
Tom Vercauteren
Tom Vercauteren King's College London
Ben Glocker
Ben Glocker Imperial College London
Ronald M. Summers
Ronald M. Summers National Institutes of Health
Xavier Pennec
Xavier Pennec 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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