World's Best Scientists 2026 revealed!
Nicolò Cesa-Bianchi

Nicolò Cesa-Bianchi

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
48140
World Ranking
3147
National Ranking
60

Nicolò Cesa-Bianchi 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 Nicolò Cesa-Bianchi 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Nicolò Cesa-Bianchi 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 Nicolò Cesa-Bianchi 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: 60 D-Index — 78th percentile

78% 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 Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Nicolò Cesa-Bianchi is affiliated with the University of Milan in Italy and has contributed extensively to research in computer science and decision sciences. Their work primarily spans subfields such as management science and operations research, artificial intelligence, computer networks and communications, electrical and electronic engineering, and economics and econometrics.

Their publications cover a variety of topics, with significant focus on advanced bandit algorithms research, machine learning and algorithms, auction theory and applications, optimization and search problems, game theory and applications, smart grid energy management, and data stream mining techniques.

Some of the recent papers by Nicolò Cesa-Bianchi include the following:

  • Online Learning Algorithms (2020, Annual Review of Statistics and Its Application)
  • Nonstochastic Bandits with Composite Anonymous Feedback (2021, arXiv (Cornell University))
  • Bilateral Trade: A Regret Minimization Perspective (2023, Mathematics of Operations Research)
  • Repeated Bilateral Trade Against a Smoothed Adversary (2023, arXiv (Cornell University))

Frequent co-authors in their research collaborations include:

  • Tommaso Cesari
  • Roberto Colomboni
  • Dirk van der Hoeven
  • Federico Fusco
  • Emmanuel Esposito

Notable venues where Nicolò Cesa-Bianchi has frequently published are:

  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • SSRN Electronic Journal
  • Annual Review of Statistics and Its Application
  • Mathematics of Operations Research

Best Publications

  • Advances in Neural Information Processing Systems 31

    S. Bengio;H.M. Wallach;H. Larochelle;K. Grauman

  • Finite-time Analysis of the Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Paul Fischer

  • Prediction, learning, and games

    Nicolo Cesa-Bianchi;Gabor Lugosi

  • Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems

    Sébastien Bubeck;Nicolò Cesa-Bianchi

  • The Nonstochastic Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Yoav Freund;Robert E. Schapire

  • Gambling in a rigged casino: The adversarial multi-armed bandit problem

    P. Auer;N. Cesa-Bianchi;Y. Freund;R. Schapire

  • How to use expert advice

    Nicolò Cesa-Bianchi;Yoav Freund;David Haussler;David P. Helmbold

  • On the generalization ability of on-line learning algorithms

    N. Cesa-Bianchi;A. Conconi;C. Gentile

  • Scale-sensitive dimensions, uniform convergence, and learnability

    Noga Alon;Shai Ben-David;Nicolò Cesa-Bianchi;David Haussler

  • Combinatorial bandits

    Nicolò Cesa-Bianchi;GáBor Lugosi

  • Regret Minimization for Reserve Prices in Second-Price Auctions

    Nicolò Cesa-Bianchi;Claudio Gentile;Yishay Mansour

  • Adaptive and self-confident on-line learning algorithms

    Peter Auer;Nicolò Cesa-Bianchi;Claudio Gentile

  • Incremental Algorithms for Hierarchical Classification

    Nicolò Cesa-Bianchi;Claudio Gentile;Luca Zaniboni

  • A Second-Order Perceptron Algorithm

    Nicolò Cesa-Bianchi;Alex Conconi;Claudio Gentile

  • Improved second-order bounds for prediction with expert advice

    Nicolò Cesa-Bianchi;Yishay Mansour;Gilles Stoltz

  • Bandits With Heavy Tail

    Sebastien Bubeck;Nicolo Cesa-Bianchi;Gabor Lugosi

  • Hierarchical classification: combining Bayes with SVM

    Nicolò Cesa-Bianchi;Claudio Gentile;Luca Zaniboni

  • Worst-case quadratic loss bounds for prediction using linear functions and gradient descent

    N. Cesa-Bianchi;P.M. Long;M.K. Warmuth

  • Linear Algorithms for Online Multitask Classification

    Giovanni Cavallanti;Nicolò Cesa-Bianchi;Claudio Gentile

  • How to use expert advice

    Nicolò Cesa-Bianchi;Yoav Freund;David P. Helmbold;David Haussler

  • Incremental Algorithms for Hierarchical Classification

    Nicolò Cesa-bianchi;Claudio Gentile;Andrea Tironi;Luca Zaniboni

Frequent Co-Authors

Claudio Gentile
Claudio Gentile Google (United States)
Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Yishay Mansour
Yishay Mansour Tel Aviv University
Ohad Shamir
Ohad Shamir Weizmann Institute of Science
Peter Auer
Peter Auer University of Leoben
John Shawe-Taylor
John Shawe-Taylor University College London
Noga Alon
Noga Alon Tel Aviv University
Francesco Orabona
Francesco Orabona King Abdullah University of Science and Technology
François Laviolette
François Laviolette Université Laval
Shai Shalev-Shwartz
Shai Shalev-Shwartz Hebrew University of Jerusalem

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