World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4740
World Ranking
13122
National Ranking
337

Jan Ramon 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 Jan Ramon 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Jan Ramon 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 Jan Ramon sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

Jan Ramon is a researcher affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their work spans multiple domains within computer science, with a strong focus on privacy-preserving technologies and cryptography.

Ramon's research portfolio includes contributions to several subfields, notably:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Molecular Biology
  • Oncology
  • Statistics and Probability

Their main research topics consist of:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Internet Traffic Analysis and Secure E-voting
  • Complexity and Algorithms in Graphs
  • Algorithms and Data Compression
  • Semigroups and Automata Theory
  • DNA and Biological Computing

Jan Ramon has published extensively in leading scientific venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Machine Learning
  • Journal of Controlled Release
  • HAL (Le Centre pour la Communication Scientifique Directe)

Some recent papers authored or co-authored by Ramon are:

  • "An accurate, scalable and verifiable protocol for federated differentially private averaging," 2022, Machine Learning
  • "Naive Infinite Enumeration of Context-free Languages in Incremental Polynomial Time," 2020, Lirias (KU Leuven)
  • "Private Sampling with Identifiable Cheaters," 2023, Proceedings on Privacy Enhancing Technologies
  • "An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging," 2020, arXiv (Cornell University)
  • "Immunogenic cell death as interplay between physical anticancer modalities and immunotherapy," 2025, Journal of Controlled Release

Ramon collaborates frequently with several other researchers, including:

  • César Sabater
  • Florian Hahn
  • Peter Andreas
  • Aurélien Bellet
  • Stefaan C. De Smedt

Their research encompasses both theoretical and applied aspects, engaging with complex algorithms and privacy protocols as well as interdisciplinary areas like molecular biology and oncology.

Best Publications

  • Top-Down Induction of Clustering Trees

    Hendrik Blockeel;Luc De Raedt;Jan Ramon

  • Expressivity versus efficiency of graph kernels

    Jan Ramon;Thomas Gaertner

  • Multi instance neural networks

    Jan Ramon;Luc De Raedt

  • Improving the efficiency of inductive logic programming through the use of query packs

    Hendrik Blockeel;Luc Dehaspe;Bart Demoen;Gerda Janssens

  • Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases

    Kevin Stewart Williams;Elizabeth Bilsland;Andrew Charles Sparkes;Wayne Aubrey

  • Machine learning techniques to examine large patient databases.

    Geert Meyfroidt;Fabian Güiza;Jan Ramon;Maurice Bruynooghe

  • A new ensemble coevolution system for detecting HIV-1 protein coevolution

    Guangdi Li;Kristof Theys;Jens Verheyen;Andrea Clemencia Pineda-Peña;Andrea Clemencia Pineda-Peña

  • Frequent subgraph mining in outerplanar graphs

    Tamás Horváth;Jan Ramon;Stefan Wrobel

  • Hierarchical multi-classification

    Hendrik Blockeel;Maurice Bruynooghe;Sašo Džeroski;Jan Ramon

  • A polynomial time computable metric between point sets

    Jan Ramon;Maurice Bruynooghe

  • Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner

    Kurt Driessens;Jan Ramon;Hendrik Blockeel

  • Mining data from intensive care patients

    Jan Ramon;Daan Fierens;Fabián Güiza;Geert Meyfroidt

  • Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling

    Jan Ramon;Kurt Driessens;Tom Croonenborghs

  • Relational instance based regression for relational reinforcement learning

    Kurt Driessens;Jan Ramon

  • Monte-Carlo Tree Search in Poker Using Expected Reward Distributions

    Guy Broeck;Kurt Driessens;Jan Ramon

  • Relational instance based regression for relational reinforcement learning

    Kurt Driessens;Jan Ramon

  • Graph kernels and Gaussian processes for relational reinforcement learning

    Kurt Driessens;Jan Ramon;Thomas Gärtner

  • Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.

    Daan Fierens;Hendrik Blockeel;Maurice Bruynooghe;Jan Ramon

  • Logical bayesian networks and their relation to other probabilistic logical models

    Daan Fierens;Hendrik Blockeel;Maurice Bruynooghe;Jan Ramon

  • A Framework for Defining Distances Between First-Order Logic Objects

    Jan Ramon;Maurice Bruynooghe

  • Machine learning applications in proteomics research: How the past can boost the future

    Pieter Kelchtermans;Pieter Kelchtermans;Wout Bittremieux;Kurt De Grave;Sven Degroeve

  • Executing Query Packs in ILP

    Hendrik Blockeel;Luc Dehaspe;Bart Demoen;Gerda Janssens

  • Frequent subgraph mining in outerplanar graphs

    Tamás Horváth;Jan Ramon;Stefan Wrobel

Frequent Co-Authors

Luc De Raedt
Luc De Raedt KU Leuven
Karl Tuyls
Karl Tuyls DeepMind (United Kingdom)
Lennart Martens
Lennart Martens Ghent University
Anne-Mieke Vandamme
Anne-Mieke Vandamme Rega Institute for Medical Research
Toon Calders
Toon Calders University of Antwerp
Stefan Wrobel
Stefan Wrobel University of Bonn
Ross D. King
Ross D. King University of Manchester

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 computer science in the USA opens the door to many flexible education options and dynamic career paths. For those eager to advance quickly, consider enrolling in one of the fastest masters degree online programs. These accelerated courses allow you to earn your credential in less time, making it easier to pivot into higher-level roles.

If you’re focused on long-term career prospects, look for one of the most valuable masters degrees in computer science or a related field. These in-demand qualifications often lead to high salaries and better job stability in tech-driven industries.

For those just starting out or seeking a budget-friendly entry into the field, online associates programs offer foundational IT and coding knowledge, often completed in just two years.

Affordability is also a key concern for many students. To keep costs low while pursuing your tech education, research the cheapest online college options that provide recognized computer science degrees.

Best Scientists Citing Jan Ramon

Trending Scientists

Recently Published Articles