World's Best Scientists 2026 revealed!
Theodoros Evgeniou

Theodoros Evgeniou

D-Index & Metrics

Computer Science

D-Index
36
Citations
14389
World Ranking
10963
National Ranking
266

Theodoros Evgeniou 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 Theodoros Evgeniou 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: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Theodoros Evgeniou 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 Theodoros Evgeniou 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: 36 D-Index — 23rd percentile

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

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

Overview

Theodoros Evgeniou is affiliated with INSEAD in France and has conducted extensive research primarily in the fields of Computer Science and Medicine. Their work prominently spans subfields such as Artificial Intelligence, Health Informatics, Economics and Econometrics, Modeling and Simulation, and Safety Research.

Their research covers numerous main topics, including:

  • Artificial Intelligence in Healthcare and Education
  • Explainable Artificial Intelligence (XAI)
  • COVID-19 epidemiological studies
  • Ethics and Social Impacts of AI
  • Adversarial Robustness in Machine Learning
  • Financial Markets and Investment Strategies
  • Machine Learning in Healthcare

Evgeniou has authored multiple research papers published in a variety of venues. Notable recent works include:

  • "The need for a system view to regulate artificial intelligence/machine learning-based software as medical device" (2020) published in npj Digital Medicine
  • "Beware explanations from AI in health care" (2021) published in Science
  • "Artificial intelligence to support the integration of variable renewable energy sources to the power system" (2021) published in Applied Energy
  • "The European artificial intelligence strategy: implications and challenges for digital health" (2020) published in The Lancet Digital Health
  • "Direct-to-consumer medical machine learning and artificial intelligence applications" (2021) published in Nature Machine Intelligence

Their frequent coauthors include Raphaël Porcher, Nicolas Vayatis, Sara Gerke, I. Glenn Cohen, and Mathilde Fekom, reflecting collaborative work across various aspects of artificial intelligence and its applications.

Theodoros Evgeniou has published mainly in these venues, reflecting a diverse dissemination of research:

  • SSRN Electronic Journal
  • npj Digital Medicine
  • Journal of Financial and Quantitative Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)

Best Publications

  • Convex multi-task feature learning

    Andreas Argyriou;Theodoros Evgeniou;Massimiliano Pontil

  • Regularized multi--task learning

    Theodoros Evgeniou;Massimiliano Pontil

  • Multi-Task Feature Learning

    Andreas Argyriou;Theodoros Evgeniou;Massimiliano Pontil

  • Regularization Networks and Support Vector Machines

    Theodoros Evgeniou;Massimiliano Pontil;Tomaso A. Poggio

  • Learning Multiple Tasks with Kernel Methods

    Theodoros Evgeniou;Charles A. Micchelli;Massimiliano Pontil

  • Support vector machines: theory and applications

    Theodoros Evgeniou;Massimiliano Pontil

  • To combine or not to combine: selecting among forecasts and their combinations

    Michèle Hibon;Theodoros Evgeniou

  • The need for a system view to regulate artificial intelligence/machine learning-based software as medical device

    Sara Gerke;Boris Babic;Theodoros Evgeniou;I. Glenn Cohen

  • A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

    Jacob Abernethy;Francis Bach;Theodoros Evgeniou;Jean-Philippe Vert

  • A TRAINABLE PEDESTRIAN DETECTION SYSTEM

    Constantine Papgeorgiou;Theodoros Evgeniou;Tomaso Poggio

  • Greedoid-Based Noncompensatory Inference

    Michael Yee;Ely Dahan;John R. Hauser;James Orlin

  • Convex Multi-Task Feature Learning

    Andreas Argyriou;Theodoros Evgeniou;Massimo Pontil

  • Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters

    Olivier Toubia;Eric Johnson;Theodoros Evgeniou;Philippe Delquié

  • Disjunctions of Conjunctions, Cognitive Simplicity and Consideration Sets

    John R . Hauser;Olivier Toubia;Theodoros Evgeniou;Rene Befurt

  • Beware explanations from AI in health care.

    Boris Babic;Boris Babic;Sara Gerke;Sara Gerke;Theodoros Evgeniou;I. Glenn Cohen

  • Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.

    Jorge Samper-González;Ninon Burgos;Simona Bottani;Sabrina Fontanella

  • Artificial intelligence to support the integration of variable renewable energy sources to the power system

    Pal Boza;Theodoros Evgeniou

  • Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers

    Theodoros Evgeniou;Massimiliano Pontil;André Elisseeff

  • A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation

    Theodoros Evgeniou;Massimiliano Pontil;Olivier Toubia

  • The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health

    I Glenn Cohen;Theodoros Evgeniou;Sara Gerke;Timo Minssen

  • Generalized robust conjoint estimation

    Theodoros Evgeniou;Constantinos Boussios;Giorgos Zacharia

  • Stability of Randomized Learning Algorithms

    Andre Elisseeff;Theodoros Evgeniou;Massimiliano Pontil

  • Information Integration and Information Strategies for Adaptive Enterprises

    Theodoros Evgeniou

  • Low-rank matrix factorization with attributes

    Jacob D. Abernethy;Francis R. Bach;Theodoros Evgeniou;Jean-Philippe Vert

Frequent Co-Authors

Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
David Martens
David Martens University of Antwerp
I. Glenn Cohen
I. Glenn Cohen Harvard University
Foster Provost
Foster Provost New York University
Raphaël Porcher
Raphaël Porcher Université Paris Cité
Jean-Philippe Vert
Jean-Philippe Vert Google (United States)
Jay Hauser
Jay Hauser University of California, Los Angeles
Robin M. Hogarth
Robin M. Hogarth Pompeu Fabra University

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