World's Best Scientists 2026 revealed!
Jordi Freixenet

Jordi Freixenet

Jordi Freixenet 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 Jordi Freixenet 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+

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

Jordi Freixenet 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 Jordi Freixenet 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+

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

Overview

Jordi Freixenet is affiliated with the University of Girona in Spain. Their research largely centers on the field of medicine, with a focus on subfields such as epidemiology, neurology, computer vision and pattern recognition, computer science applications, and developmental and educational psychology.

Their work spans multiple interconnected topics, including:

  • Acute Ischemic Stroke Management
  • Brain Tumor Detection and Classification
  • Advanced Neural Network Applications
  • Teaching and Learning Programming
  • Educational Games and Gamification
  • Digital Games and Media
  • Cardiovascular Conditions and Treatments

Freixenet's recent papers illustrate the application of machine learning, image analysis, and educational technology within medical and computational domains. Notable publications include:

  • "Acute and sub-acute stroke lesion segmentation from multimodal MRI," 2020, published in Computer Methods and Programs in Biomedicine
  • "Encouraging early mastery of computational concepts through play," 2020, appearing on arXiv (Cornell University)
  • "TEACHING MEDICAL IMAGE ANALYSIS FROM AN INNOVATIVE PERSPECTIVE," 2025, published in EDULEARN proceedings
  • "Deep learning framework for vertebral heart size and cardiothoracic ratio estimation in dogs and cats using thoracic radiographs," 2025, published in Frontiers in Veterinary Science

Frequent collaborators in their research include Arnau Oliver, Xavier Lladó, Xavier Cufí, Robert Martí, and Albert Clèrigues.

The publication venues where Freixenet has contributed reflect a blend of biomedical engineering, computer science, veterinary science, and educational research. These venues are:

  • Computer Methods and Programs in Biomedicine
  • arXiv (Cornell University)
  • EDULEARN proceedings
  • Frontiers in Veterinary Science

Overall, Jordi Freixenet's academic work intersects medical image analysis, computational methods, and educational practices, emphasizing interdisciplinary approaches to both scientific challenges and teaching methodologies.

Best Publications

  • Yet Another Survey on Image Segmentation: Region and Boundary Information Integration

    Jordi Freixenet;Xavier Muñoz;D. Raba;Joan Martí

  • A review of atlas-based segmentation for magnetic resonance brain images

    Mariano Cabezas;Arnau Oliver;Xavier Lladó;Jordi Freixenet

  • A review of automatic mass detection and segmentation in mammographic images.

    Arnau Oliver;Jordi Freixenet;Joan Martí;Elsa Pérez

  • Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI

    Guillaume Lemaître;Robert Martí;Jordi Freixenet;Joan C. Vilanova

  • A Novel Breast Tissue Density Classification Methodology

    A. Oliver;J. Freixenet;R. Marti;J. Pont

  • Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

    Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet

  • Strategies for image segmentation combining region and boundary information

    X. Muñoz;J. Freixenet;X. Cufí;J. Martí

  • A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

    Soumya Ghose;Arnau Oliver;Robert Martí;Xavier Lladó

  • False positive reduction in mammographic mass detection using local binary patterns

    Arnau Oliver;Xavier Lladó;Jordi Freixenet;Joan Martí

  • Automatic microcalcification and cluster detection for digital and digitised mammograms

    Arnau Oliver;Albert Torrent;Xavier Lladó;Meritxell Tortajada

  • A review on strategies for recognizing natural objects in colour images of outdoor scenes

    Joan Batlle;Alicia Casals;Jordi Freixenet;Joan Martí

  • A textural approach for mass false positive reduction in mammography.

    Xavier Lladó;Arnau Oliver;Jordi Freixenet;Robert Marti

  • Automated detection of multiple sclerosis lesions in serial brain MRI

    Xavier Lladó;Onur Ganiler;Arnau Oliver;Robert Martí

  • Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.

    Albert Clèrigues;Sergi Valverde;Jose Bernal;Jordi Freixenet

  • Automatic classification of breast density

    A. Oliver;J. Freixenet;R. Zwiggelaar

  • A Statistical Approach for Breast Density Segmentation

    Arnau Oliver;Xavier Lladó;Elsa Pérez;Josep Pont

  • A review of image segmentation techniques integrating region and boundary information

    X. Cufí;X. Muñoz;J. Freixenet;J. Martí

  • A review of source detection approaches in astronomical images

    M. Masias;J. Freixenet;X. Lladó;M. Peracaula

  • Segmentation and description of natural outdoor scenes

    A. Bosch;X. Muñoz;J. Freixenet

  • A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.

    Soumya Ghose;Arnau Oliver;Jhimli Mitra;Robert Marti

Frequent Co-Authors

Arnau Oliver
Arnau Oliver University of Girona
Xavier Lladó
Xavier Lladó University of Girona
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
Rafael Garcia
Rafael Garcia Complutense University of Madrid
Marc Modat
Marc Modat King's College London

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re interested in studying Computer Science in the USA, you’ll find a range of online degree options to suit your schedule, budget, and career goals. Many students start by looking for the cheapest master in data science programs to maximize value while minimizing debt. Such affordable programs make advanced tech education more accessible than ever.

For those drawn to interdisciplinary fields, programs offered by the top online electrical engineering schools provide a strong foundation in both hardware and software systems. These degrees open up pathways in diverse sectors like robotics, telecommunications, and embedded systems.

If you’re seeking credentials that can quickly boost your employability, consider pursuing easy certifications to get in tech and IT. Many certifications require less time and financial investment than a traditional degree, yet lead to high-paying roles.

For those eager to accelerate their careers, the fastest masters degree online options can help you earn a graduate degree in as little as one year. Such programs are ideal for professionals looking to upskill quickly and efficiently in today’s fast-paced digital landscape.

Best Scientists Citing Jordi Freixenet

Trending Scientists

Recently Published Articles