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Mathematics
Spain
2026

D-Index & Metrics

Mathematics

D-Index
67
Citations
31843
World Ranking
326
National Ranking
4

Engineering and Technology

D-Index
62
Citations
27861
World Ranking
1844
National Ranking
38

Gábor Lugosi publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Gábor Lugosi sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 266 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Gábor Lugosi D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Gábor Lugosi sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 67 D-Index — 91st percentile

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

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Spain Leader Award
  • 2025 - Research.com Mathematics in Spain Leader Award
  • 2022 - Research.com Mathematics in Spain Leader Award

Overview

Gábor Lugosi is affiliated with Pompeu Fabra University in Spain and has an extensive publication record primarily in the fields of Computer Science and Mathematics. With 47 publications related to Computer Science and 42 to Mathematics, their work spans multiple subfields and involves collaborations with various researchers.

Their subfields of study include Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Mathematical Physics, and Computational Theory and Mathematics. The scientist has contributed to main topics such as Statistical Methods and Inference, Stochastic Processes and Statistical Mechanics, Data Management and Algorithms, Advanced Bandit Algorithms Research, Advanced Graph Theory Research, Markov Chains and Monte Carlo Methods, and Bayesian Methods and Mixture Models.

Frequent publication venues for their work are:

  • arXiv (Cornell University)
  • Combinatorics Probability Computing
  • Bernoulli
  • The Annals of Applied Probability
  • UNC Libraries

Their notable recent papers include:

  • "Benign overfitting in linear regression" (2020) published in Proceedings of the National Academy of Sciences
  • "Multiplayer Bandits Without Observing Collision Information" (2021) published in Mathematics of Operations Research
  • "Robust multivariate mean estimation: The optimality of trimmed mean" (2021) published in The Annals of Statistics
  • "Community Detection in Partial Correlation Network Models" (2020) published in Journal of Business and Economic Statistics
  • "On the Hardness of Learning from Censored and Nonstationary Demand" (2023) published in INFORMS Journal on Optimization

The scientist's research collaborations include frequent co-authors:

  • Luc Devroye
  • Simon Briend
  • Roberto I. Oliveira
  • Nicolas Broutin
  • Louigi Addario-Berry

The breadth of their work shows engagement with multiple advanced topics in statistical inference, optimization, and algorithmic graph theory, reflecting a multidisciplinary approach to research in mathematical and computational sciences.

Best Publications

  • A Probabilistic Theory of Pattern Recognition

    Luc Devroye;László Györfi;Gábor Lugosi

  • Prediction, learning, and games

    Nicolo Cesa-Bianchi;Gabor Lugosi

  • Concentration Inequalities: A Nonasymptotic Theory of Independence

    Stéphane Boucheron;Gábor Lugosi;Pascal Massart

  • Combinatorial Methods in Density Estimation

    Luc Devroye;Gábor Lugosi

  • Theory of classification : a survey of some recent advances

    Stéphane Boucheron;Olivier Bousquet;Gábor Lugosi

  • Introduction to Statistical Learning Theory

    Olivier Bousquet;Stéphane Boucheron;Gábor Lugosi

  • Consistency of Random Forests and Other Averaging Classifiers

    Gérard Biau;Luc Devroye;Gábor Lugosi

  • Benign overfitting in linear regression

    Peter L. Bartlett;Philip M. Long;Gábor Lugosi;Alexander Tsigler

  • Model Selection and Error Estimation

    Peter L. Bartlett;Stéphane Boucheron;Gábor Lugosi

  • Combinatorial bandits

    Nicolò Cesa-Bianchi;GáBor Lugosi

  • Ranking and Empirical Minimization of U-statistics

    Stéphan Clémençon;Gábor Lugosi;Nicolas Vayatis

  • On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates

    Luc Devroye;Laszlo Gyorfi;Adam Krzyzak;Gabor Lugosi

  • On the Bayes-risk consistency of regularized boosting methods

    Gábor Lugosi;Nicolas Vayatis

  • Concentration inequalities using the entropy method

    Stéphane Boucheron;Gábor Lugosi;Pascal Massart

  • Bandits With Heavy Tail

    Sebastien Bubeck;Nicolo Cesa-Bianchi;Gabor Lugosi

  • A sharp concentration inequality with application

    Stéphane Boucheron;Gábor Lugosi;Pascal Massart

  • Learning pattern classification-a survey

    S.R. Kulkarni;G. Lugosi;S.S. Venkatesh

  • Consistency of Data-driven Histogram Methods for Density Estimation and Classification

    Gábor Lugosi;Andrew Nobel

  • Regret in Online Combinatorial Optimization

    Jean-Yves Audibert;Sébastien Bubeck;Gábor Lugosi

  • Proceedings of the 19th annual conference on Learning Theory

    Gábor Lugosi;Hans Ulrich Simon

  • Concentration inequalities : a non asymptotic theory of independence

    Stéphane Boucheron;Gabor Lugosi;Gabor Lugosi;Pascal Massart

Frequent Co-Authors

Luc Devroye
Luc Devroye McGill University
László Györfi
László Györfi Budapest University of Technology and Economics
Nicolò Cesa-Bianchi
Nicolò Cesa-Bianchi University of Milan
Tamas Linder
Tamas Linder Queen's University
Shahar Mendelson
Shahar Mendelson Texas A&M University
András György
András György New York University Abu Dhabi
Pascal Massart
Pascal Massart University of Paris-Saclay
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Kenneth Zeger
Kenneth Zeger University of California, San Diego
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley

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