World's Best Scientists 2026 revealed!
Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
76
Citations
79522
World Ranking
1306
National Ranking
17

Isabelle Guyon 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 Isabelle Guyon 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: 296 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Isabelle Guyon 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 Isabelle Guyon 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: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2019 - BBVA Foundation Frontiers of Knowledge Award

Overview

Isabelle Guyon is affiliated with the University of Paris-Saclay in France. Their research is primarily situated in the field of Computer Science, with a specialized focus on Artificial Intelligence. Their contributions extend to several subfields including Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, and Control and Systems Engineering.

The scientist's major topics of work cover Machine Learning and Data Classification, Adversarial Robustness in Machine Learning, Time Series Analysis and Forecasting, Advanced Neural Network Applications, Machine Learning in Healthcare, Anomaly Detection Techniques and Applications, and Human Pose and Action Recognition.

Among the recent papers authored or co-authored by this scientist are the following:

  • Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020, 2021, arXiv (Cornell University)
  • Generation and evaluation of privacy preserving synthetic health data, 2020, Neurocomputing
  • Neural networks for power flow: Graph neural solver, 2020, Electric Power Systems Research
  • Modeling, Recognizing, and Explaining Apparent Personality From Videos, 2020, IEEE Transactions on Affective Computing
  • The Problem of Fairness in Synthetic Healthcare Data, 2021, Entropy

Frequent co-authors include:

  • Sérgio Escalera
  • Wei-Wei Tu
  • Romain Égelé
  • Adrien Pavão
  • Kristin P. Bennett

They have published extensively in various venues, with the highest number of publications in arXiv (Cornell University). Other notable venues include Neurocomputing, Electric Power Systems Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Pattern Recognition Letters.

  • arXiv (Cornell University)
  • Neurocomputing
  • Electric Power Systems Research
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition Letters

In recognition of their work, this researcher was awarded the BBVA Foundation Frontiers of Knowledge Award in 2019.

Best Publications

  • An introduction to variable and feature selection

    Isabelle Guyon;André Elisseeff

  • A training algorithm for optimal margin classifiers

    Bernhard E. Boser;Isabelle M. Guyon;Vladimir N. Vapnik

  • Gene Selection for Cancer Classification using Support Vector Machines

    Isabelle Guyon;Jason Weston;Stephen Barnhill;Vladimir Vapnik

  • SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

    Jane Bromley;James W. Bentz;James W. Bentz;Léon Bottou;Léon Bottou;Isabelle Guyon

  • Signature Verification using a "Siamese" Time Delay Neural Network

    Jane Bromley;Isabelle Guyon;Yann LeCun;Eduard Säckinger

  • Feature extraction : foundations and applications

    I.M. Guyon;S.R. Gunn;M. Nikravesh;L. Zadeh

  • An Introduction to Feature Extraction

    Isabelle Guyon;André Elisseeff

  • Comparison of classifier methods: a case study in handwritten digit recognition

    L. Bottou;C. Cortes;C. Cortes;J.S. Denker;J.S. Denker;H. Drucker;H. Drucker

  • Learning algorithms for classification: A comparison on handwritten digit recognition

    Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;Corinna Cortes;Corinna Cortes

  • Comparison of learning algorithms for handwritten digit recognition

    Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;A. Brunot

  • A stability based method for discovering structure in clustered data.

    Asa Ben-Hur;Andre Elisseeff;Isabelle Guyon

  • Result Analysis of the NIPS 2003 Feature Selection Challenge

    Isabelle Guyon;Steve Gunn;Asa Ben-Hur;Gideon Dror

  • Handwritten digit recognition: applications of neural network chips and automatic learning

    Y. Le Cun;L.D. Jackel;B. Boser;J.S. Denker

  • Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

    Isabelle Guyon;Steve Gunn;Masoud Nikravesh;Lotfi A. Zadeh

  • UNIPEN project of on-line data exchange and recognizer benchmarks

    I. Guyon;L. Schomaker;R. Plamondon;M. Liberman

  • Collective computational properties of neural networks: New learning mechanisms.

    L. Personnaz;I. Guyon;G. Dreyfus

  • Information storage and retrieval in spin-glass like neural networks

    L. Personnaz;I. Guyon;G. Dreyfus

  • Automatic Capacity Tuning of Very Large VC-Dimension Classifiers

    I. Guyon;B. Boser;V. Vapnik

  • Discovering informative patterns and data cleaning

    Isabelle Guyon;Nada Matic;Vladimir Vapnik

  • Detecting stable clusters using principal component analysis.

    Asa Ben-Hur;Isabelle Guyon

  • System for providing data analysis services using a support vector machine for processing data received from a remote source

    Stephen D. Barnhill;Isabelle Guyon;Jason Weston

Frequent Co-Authors

Sergio Escalera
Sergio Escalera University of Barcelona
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics
Constantin F. Aliferis
Constantin F. Aliferis University of Minnesota
Douglas P. Hardin
Douglas P. Hardin Vanderbilt University
Gideon Dror
Gideon Dror Academic College of Tel Aviv-Yafo
Jason Weston
Jason Weston Facebook (United States)
Gérard Dreyfus
Gérard Dreyfus ESPCI Paris
Vladimir Vapnik
Vladimir Vapnik Princeton University
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Tobias Golling
Tobias Golling University of Geneva

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

Exploring online education opens up a world of flexible and affordable options for advancing your computer science career. Many students consider an online mba to gain leadership and business skills alongside their technical expertise. This path can lead to managerial roles or tech entrepreneurship.

If you’re aiming for rapid advancement, a 1 year masters degree online allows you to upskill quickly without putting your career on hold. There are also fast degrees online for those who want to enter the workforce sooner and start earning in tech-focused jobs.

For students with a keen interest in AI, the best online masters in ai programs offer affordable and flexible learning opportunities. These degrees are in high demand as artificial intelligence continues to shape technology industries worldwide.

Choosing the right online pathway depends on your career goals, budget, and learning style. Explore these options to find the perfect fit for your future in computer science.

Best Scientists Citing Isabelle Guyon

Trending Scientists

Recently Published Articles