World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
23720
World Ranking
8558
National Ranking
146

Clara I. Sánchez 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 Clara I. Sánchez 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: 97 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Clara I. Sánchez 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 Clara I. Sánchez 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Clara I. Sánchez is affiliated with the University of Amsterdam in the Netherlands. Their research primarily focuses on the field of Medicine, with a specialization in Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Informatics, Artificial Intelligence, and Pediatrics, Perinatology and Child Health.

The scientist's work covers several main topics, including:

  • Retinal Imaging and Analysis
  • Glaucoma and retinal disorders
  • Artificial Intelligence in Healthcare and Education
  • Retinal Diseases and Treatments
  • Radiomics and Machine Learning in Medical Imaging
  • Retinal and Optic Conditions
  • COVID-19 diagnosis using AI

Among recent publications, notable papers include:

  • Metrics reloaded: recommendations for image analysis validation, 2024, Nature Methods
  • Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence, 2020, Radiology
  • Understanding metric-related pitfalls in image analysis validation, 2024, Nature Methods
  • Adversarial attack vulnerability of medical image analysis systems: Unexplored factors, 2021, Medical Image Analysis
  • Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice, 2021, Progress in Retinal and Eye Research

Sánchez frequently collaborates with other researchers. Frequent co-authors include:

  • Bram van Ginneken
  • Coen de Vente
  • Jonas Teuwen
  • Ivana Išgum
  • Adnan Tufail

The scientist's publications often appear in key venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of the American College of Cardiology
  • Nature Methods
  • Medical Image Analysis

Best Publications

  • A survey on deep learning in medical image analysis

    Geert J. S. Litjens;Thijs Kooi;Babak Ehteshami Bejnordi;Arnaud Arindra Adiyoso Setio

  • Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

    Arnaud Arindra Adiyoso Setio;Francesco Ciompi;Geert Litjens;Paul Gerke

  • Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

    Geert Litjens;Clara I. Sánchez;Nadya Timofeeva;Meyke Hermsen

  • Large scale deep learning for computer aided detection of mammographic lesions

    Thijs Kooi;Geert J. S. Litjens;Bram van Ginneken;Albert Gubern-Mérida

  • Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

    Meindert Niemeijer;Bram van Ginneken;Michael J Cree;Atsushi Mizutani

  • Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

    Mark J. J. P. van Grinsven;Bram van Ginneken;Carel B. Hoyng;Thomas Theelen

  • Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.

    Mohsen Ghafoorian;Nico Karssemeijer;Tom Heskes;Inge W. M. van Uden

  • RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

    Hrvoje Bogunovic;Freerk Venhuizen;Sophie Klimscha;Stefanos Apostolopoulos

  • Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning.

    Juan J. Gómez-Valverde;Alfonso Antón;Gianluca Fatti;Bart Liefers

  • Retinal image analysis based on mixture models to detect hard exudates.

    Clara I. Sánchez;María García;Agustín Mayo;María Isabel López

  • Neural network based detection of hard exudates in retinal images

    María García;Clara I. Sánchez;María I. López;Daniel Abásolo

  • A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis.

    Clara I. Sánchez;Roberto Hornero;María I. López;Mateo Aboy

  • Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.

    Sarah J van Riel;Clara I Sánchez;Alexander A Bankier;David P Naidich

  • An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information.

    Jaime Melendez;Clara I. Sánchez;Rick H. H. M. Philipsen;Pragnya Maduskar

  • Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data.

    Clara I. Sánchez;Meindert Niemeijer;Meindert Niemeijer;Alina V. Dumitrescu;Maria S. A. Suttorp-Schulten

  • Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.

    Freerk G. Venhuizen;Bram van Ginneken;Bart Liefers;Freekje van Asten

  • A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

    Jaime Melendez;Bram van Ginneken;Pragnya Maduskar;Rick H. H. M. Philipsen

  • Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks.

    Freerk G. Venhuizen;Bram van Ginneken;Bart Liefers;Mark J.J.P. van Grinsven

  • Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy

    C.I. Sanchez;R. Hornero;M.I. Lopez;J. Poza

  • Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

    Nikolas Lessmann;Clara I. Sánchez;Ludo Beenen;Luuk H. Boulogne

  • Retinal Image Analysis to Detect and Quantify Lesions Associated With Diabetic Retinopathy

    M. Lopez;C. Sanchez;R. Hornero

Frequent Co-Authors

Bram van Ginneken
Bram van Ginneken Radboud University
Carel B. Hoyng
Carel B. Hoyng Radboud University
Caroline C W Klaver
Caroline C W Klaver Erasmus University Rotterdam
Roberto Hornero
Roberto Hornero University of Valladolid
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Geert Litjens
Geert Litjens Radboud University
Nico Karssemeijer
Nico Karssemeijer Radboud University
Mathias Prokop
Mathias Prokop Radboud University
Jonathan L. Haines
Jonathan L. Haines Case Western Reserve University

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