World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6071
World Ranking
13893
National Ranking
273

Ferran Marques 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 Ferran Marques 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: 190 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Ferran Marques 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 Ferran Marques 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ferran Marques is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Ecology, Radiology, Nuclear Medicine and Imaging, and Pediatrics, Perinatology and Child Health.

The scientist's work covers multiple topics with a particular emphasis on AI in cancer detection, remote sensing in agriculture, radiomics and machine learning in medical imaging, remote sensing and LiDAR applications, fetal and pediatric neurological disorders, video surveillance and tracking methods, and human pose and action recognition.

Frequent coauthors collaborating with Ferran Marques include Francisco Eugenio, Javier Marcello, Philippe Salembier, Laia Albors, and Dionisio Rodríguez-Esparragón.

Marques has published across various venues, with notable frequency in arXiv (Cornell University), the Journal of Cardiothoracic and Vascular Anesthesia, IEEE Transactions on Geoscience and Remote Sensing, Diagnostics, and Drones.

Recent papers by Marques include:

  • High-Resolution Satellite Bathymetry Mapping: Regression and Machine Learning-Based Approaches, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals-Planification, Implementation, and Preliminary Results, 2022, Diagnostics
  • Advanced Processing of Multiplatform Remote Sensing Imagery for the Monitoring of Coastal and Mountain Ecosystems, 2020, IEEE Access
  • Unified Access to Heterogeneous Audiovisual Archives, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation, 2021, arXiv (Cornell University)

Best Publications

  • Multiscale Combinatorial Grouping

    Pablo Arbeláez;Jordi Pont-Tuset;Jon Barron;Ferran Marques

  • Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

    Jordi Pont-Tuset;Pablo Arbelaez;Jonathan T.Barron;Ferran Marques

  • Region-based representations of image and video: segmentation tools for multimedia services

    P. Salembier;F. Marques

  • RVOS: End-To-End Recurrent Network for Video Object Segmentation

    Carles Ventura;Miriam Bellver;Andreu Girbau;Amaia Salvador

  • Bags of Local Convolutional Features for Scalable Instance Search

    Eva Mohedano;Kevin McGuinness;Noel E. O'Connor;Amaia Salvador

  • Region Merging Techniques Using Information Theory Statistical Measures

    Felipe Calderero;Ferran Marques

  • Supervised Evaluation of Image Segmentation and Object Proposal Techniques

    Jordi Pont-Tuset;Ferran Marques

  • Faster R-CNN Features for Instance Search

    Amaia Salvador;Xavier Giro-i-Nieto;Ferran Marques;Shin'ichi Satoh

  • Segmentation-based video coding system allowing the manipulation of objects

    P. Salembier;F. Marques;M. Pardas;J.R. Morros

  • Binary Partition Trees for Object Detection

    V. Vilaplana;F. Marques;P. Salembier

  • Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation

    Jordi Pont-Tuset;Ferran Marques

  • Hierarchical Object Detection with Deep Reinforcement Learning

    Miriam Bellver;Xavier Giro-i-Nieto;Ferran Marques;Jordi Torres

  • Bags of Local Convolutional Features for Scalable Instance Search

    Eva Mohedano;Amaia Salvador;Kevin McGuinness;Ferran Marques

  • Segmented picture coding method and system, and corresponding decoding method and system

    Isabelle Corset;Lionel Bouchard;Sylvie Jeannin;Philippe Salembier

  • Automatic satellite image georeferencing using a contour-matching approach

    F. Eugenio;F. Marques

  • Recurrent Neural Networks for Semantic Instance Segmentation.

    Amaia Salvador;Miriam Bellver;Manel Baradad;Ferran Marqués

  • A video object generation tool allowing friendly user interaction

    B. Marcotegui;F. Zanoguera;P. Correia;R. Rosa

  • Shape and location coding for contour images

    F. Marques;S. Fioravanti;P. Brigger

  • Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models

    Javier Molina;Marcos Escudero-Viñolo;Alessandro Signoriello;Montse Pardàs

  • Automatic registration of 3D MR images with a computerized brain atlas.

    Olivier Cuisenaire;Jean-Philippe Thiran;Benoit M. M. Macq;Christian Michel

  • Seabed Mapping in Coastal Shallow Waters Using High Resolution Multispectral and Hyperspectral Imagery

    Javier Marcello;Francisco Eugenio;Javier Martín;Ferran Marqués

Frequent Co-Authors

Philippe Salembier
Philippe Salembier Universitat Politècnica de Catalunya
Benoît Macq
Benoît Macq Université Catholique de Louvain
Jordi Torres
Jordi Torres Universitat Politècnica de Catalunya
Noel E. O'Connor
Noel E. O'Connor Dublin City University
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Antonio Ortega
Antonio Ortega University of Southern California
Pablo Arbeláez
Pablo Arbeláez Universidad de Los Andes
Thierry Dutoit
Thierry Dutoit University of Mons
Yannis Avrithis
Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)
Anne De Volder
Anne De Volder Université Catholique de Louvain

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