World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8007
World Ranking
10079
National Ranking
160

Joan Serrat 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 Joan Serrat 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Joan Serrat 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 Joan Serrat 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Joan Serrat is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research spans multiple fields within computer science and engineering, with a particular focus on artificial intelligence and media technology. The scientist's work encompasses various subfields, including artificial intelligence, space and planetary science, computer vision and pattern recognition, and ecology.

The scientist's recent publications include:

  • Monitoring war destruction from space using machine learning, 2021, Proceedings of the National Academy of Sciences
  • Hierarchical Novelty Detection for Traffic Sign Recognition, 2022, Sensors
  • Implicit Learning of Scene Geometry From Poses for Global Localization, 2023, IEEE Robotics and Automation Letters
  • Monitoring War Destruction from Space: A Machine Learning Approach, 2020, RePEc: Research Papers in Economics
  • Closing the gap in domain adaptation for semantic segmentation: a time-aware method, 2024, Machine Vision and Applications

Joan Serrat frequently collaborates with several coauthors, including Hannes Mueller, Jonathan Hersh, Andrea Matranga, André Groeger, and Idoia Ruiz. The collaboration pattern shows joint work predominantly with Hannes Mueller and Jonathan Hersh, each with multiple joint publications.

The scientist has published in various venues, including:

  • Proceedings of the National Academy of Sciences
  • Sensors
  • IEEE Robotics and Automation Letters
  • Machine Vision and Applications
  • RePEc: Research Papers in Economics

Joan Serrat's research focuses on multiple main topics, which include:

  • Remote-Sensing Image Classification
  • Archaeological Research and Protection
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing in Agriculture
  • Anomaly Detection Techniques and Applications
  • Imbalanced Data Classification Techniques
  • COVID-19 diagnosis using AI

The scientist's work integrates machine learning methods with remote sensing technologies, aiming to address challenges like war destruction monitoring and semantic segmentation adaptation. Their interdisciplinary approach connects ecological and archaeological applications with advanced artificial intelligence techniques.

Best Publications

  • Network Function Virtualization: State-of-the-Art and Research Challenges

    Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Niels Bouten

  • Resource Slicing in Virtual Wireless Networks: A Survey

    Matias Richart;Javier Baliosian;Joan Serrat;Juan-Luis Gorricho

  • Design and evaluation of algorithms for mapping and scheduling of virtual network functions

    Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Niels Bouten

  • Management and orchestration challenges in network functions virtualization

    Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Steven Latre

  • Evaluation of methods for ridge and valley detection

    A.M. Lopez;F. Lumbreras;J. Serrat;J.J. Villanueva

  • Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison

    Alejandro González;Zhijie Fang;Yainuvis Socarras;Joan Serrat

  • Harmony Potentials

    Xavier Boix;Josep M. Gonfaus;Joost Weijer;Andrew D. Bagdanov

  • Harmony potentials for joint classification and segmentation

    Josep M. Gonfaus;Xavier Boix;Joost van de Weijer;Andrew D. Bagdanov

  • Unsupervised co-segmentation through region matching

    Jose C. Rubio;Joan Serrat;Antonio Lopez;Nikos Paragios

  • Multilocal creaseness based on the level-set extrinsic curvature

    Antonio M. Lôpez;David Lloret;Joan Serrat;Juan J. Villanueva

  • Robust lane markings detection and road geometry computation

    A. López;J. Serrat;C. Cañero;F. Lumbreras

  • Design and evaluation of learning algorithms for dynamic resource management in virtual networks

    Rashid Mijumbi;Juan-Luis Gorricho;Joan Serrat;Maxim Claeys

  • Autonomic system for mobility support in 4G networks

    P. Vidales;J. Baliosian;J. Serrat;G. Mapp

  • A snake for model-based segmentation

    P. Radeva;J. Serrat;E. Marti

  • A Path Generation Approach to Embedding of Virtual Networks

    Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Raouf Boutaba

  • Scalable service deployment on software-defined networks

    J. Rubio-Loyola;A. Galis;A. Astorga;J. Serrat

  • Nighttime Vehicle Detection for Intelligent Headlight Control

    Antonio López;Jörg Hilgenstock;Andreas Busse;Ramón Baldrich

  • Dynamic resource management in SDN-based virtualized networks

    Rashid Mijumbi;Joan Serrat;Javier Rubio-Loyola;Niels Bouten

  • A Flexible IP Active Networks Architecture

    Alex Galis;Bernhard Plattner;Jonathan M. Smith;Spyros G. Denazis

  • 3D vehicle sensor based on monocular vision

    D. Ponsa;A. Lopez;F. Lumbreras;J. Serrat

Frequent Co-Authors

Antonio M. López
Antonio M. López Autonomous University of Barcelona
George Pavlou
George Pavlou University College London
Alex Galis
Alex Galis University College London
Aiko Pras
Aiko Pras University of Twente
Burkhard Stiller
Burkhard Stiller University of Zurich
Filip De Turck
Filip De Turck Ghent University
Radu State
Radu State University of Luxembourg
Angel D. Sappa
Angel D. Sappa Escuela Superior Politecnica del Litoral
Hermann de Meer
Hermann de Meer University of Passau
Steven Latre
Steven Latre University of Antwerp

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