World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4592
World Ranking
13140
National Ranking
251

Oriol Pujol 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 Oriol Pujol 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: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Oriol Pujol 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 Oriol Pujol 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Oriol Pujol is affiliated with the University of Barcelona in Spain and has contributed extensively to the field of Computer Science, particularly focusing on Artificial Intelligence. Their work spans various subfields including Mechanical Engineering, Safety Research, Computer Vision and Pattern Recognition, and Health Informatics.

Their research covers a range of topics such as Machine Learning and Data Classification, Neural Networks and Applications, Machine Learning and Algorithms, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Artificial Intelligence in Healthcare and Education, and Anomaly Detection Techniques and Applications.

Frequent co-authors collaborating with Oriol Pujol include:

  • Jordi Nin
  • Irene Unceta
  • Jordi Vitrià
  • José Mena
  • Albert Abio

Key recent publications illustrate the scope and focus of their work. These include:

  • FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare, 2025, BMJ
  • A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective, 2021, ACM Computing Surveys
  • FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare, 2023, arXiv (Cornell University)
  • Uncertainty-Based Rejection Wrappers for Black-Box Classifiers, 2020, IEEE Access
  • Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0, 2022, Materials

Oriol Pujol has published most frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE Access
  • Entropy
  • Lecture Notes in Computer Science
  • BMJ

Their research output reflects a focus on advancing the understanding and application of AI techniques, with particular attention to healthcare and trustworthy AI systems. The multidisciplinary nature of their work spans both theoretical and applied aspects of machine learning, neural networks, and ethical considerations within AI technology deployment.

Best Publications

  • Human activity recognition from accelerometer data using a wearable device

    Pierluigi Casale;Oriol Pujol;Petia Radeva

  • On the Decoding Process in Ternary Error-Correcting Output Codes

    S. Escalera;O. Pujol;P. Radeva

  • Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

    O. Pujol;P. Radeva;J. Vitria

  • Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification

    X. Baro;S. Escalera;J. Vitria;O. Pujol

  • Personalization and user verification in wearable systems using biometric walking patterns

    Pierluigi Casale;Oriol Pujol;Petia Radeva

  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation

    Simone Balocco;Carlo Gatta;Francesco Ciompi;Andreas Wahle

  • Separability of ternary codes for sparse designs of error-correcting output codes

    Sergio Escalera;Oriol Pujol;Petia Radeva

  • Subclass Problem-Dependent Design for Error-Correcting Output Codes

    S. Escalera;D.M.J. Tax;O. Pujol;P. Radeva

  • SRBF: Speckle reducing bilateral filtering.

    Simone Balocco;Carlo Gatta;Oriol Pujol;Josepa Mauri

  • Blurred Shape Model for binary and grey-level symbol recognition

    Sergio Escalera;Alicia Fornés;Oriol Pujol;Petia Radeva

  • Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound

    J C Seabra;F Ciompi;O Pujol;J Mauri

  • An incremental node embedding technique for error correcting output codes

    Oriol Pujol;Sergio Escalera;Petia Radeva

  • A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective

    Unknown

  • Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy

    F. Vilarino;P. Spyridonos;O. Pujol;J. Vitria

  • Learning to count with deep object features

    Santi Segui;Oriol Pujol;Jordi Vitria

  • Error-Correcting Ouput Codes Library

    Sergio Escalera;Oriol Pujol;Petia Radeva

  • Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D

    Antonio Hernández-Vela;Miguel Ángel Bautista;Xavier Perez-Sala;Víctor Ponce-López

  • HoliMAb: A holistic approach for Media–Adventitia border detection in intravascular ultrasound

    Francesco Ciompi;Oriol Pujol;Carlo Gatta;Marina Alberti

  • Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes

    Sergio Escalera;Oriol Pujol;Petia Radeva

  • Intravascular ultrasound images vessel characterization using Adaboost

    Oriol Pujol;Misael Rosales;Petia Radeva;Eduard Nofrerias-Fernández

  • Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data

    Miguel Ángel Bautista;Antonio Hernández-Vela;Victor Ponce;Xavier Perez-Sala

Frequent Co-Authors

Petia Radeva
Petia Radeva University of Barcelona
Sergio Escalera
Sergio Escalera University of Barcelona
Francesco Ciompi
Francesco Ciompi Radboud University
Alicia Fornés
Alicia Fornés Autonomous University of Barcelona
Josep Lladós
Josep Lladós Autonomous University of Barcelona
Fernando De la Torre
Fernando De la Torre Carnegie Mellon University
David M. J. Tax
David M. J. Tax Delft University of Technology
Robert P. W. Duin
Robert P. W. Duin Delft University of Technology
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Guy Cloutier
Guy Cloutier University of Montreal

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