World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8868
World Ranking
5927
National Ranking
137

Stefano Leonardi 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 Stefano Leonardi 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: 260 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Stefano Leonardi 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 Stefano Leonardi 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: 49 D-Index — 60th percentile

60% 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

  • 2018 - European Association for Theoretical Computer Science (EATCS) Fellow For his fundamental contributions to solving theoretical and applied problems in approximation and online algorithms, at the interface of economics and computation, and in Web algorithmics

Overview

Stefano Leonardi is affiliated with Sapienza University of Rome in Italy. Their research spans multiple topics primarily within decision sciences and computer science, with significant contributions to management science, operations research, and economics.

Their recent publications include the following papers:

  • Stochastic bandits for multi-platform budget optimization in online advertising, 2021, IRIS Research product catalog (Sapienza University of Rome)
  • A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study, 2023, The Journal of Clinical Endocrinology & Metabolism
  • Efficient two-sided markets with limited information, 2021, IRIS Research product catalog (Sapienza University of Rome)
  • Deep active learning for misinformation detection using geometric deep learning, 2023, Online Social Networks and Media
  • FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection, 2022, 2022 International Joint Conference on Neural Networks (IJCNN)

Frequent coauthors collaborating with Stefano Leonardi include:

  • Federico Fusco
  • Rebecca Reiffenhäuser
  • Philip Lazos
  • Georgios Birmpas
  • M.V. Russo

Stefano Leonardi has published extensively in the following venues:

  • arXiv (Cornell University)
  • IRIS Research product catalog (Sapienza University of Rome)
  • Mathematics of Operations Research
  • ACM Transactions on Economics and Computation
  • Algorithmica

Their work is principally situated in the fields of decision sciences and computer science. Within these fields, their subfields of specialization include management science and operations research, computer networks and communications, economics and econometrics, artificial intelligence, and safety research.

Main topics of their research cover:

  • Auction Theory and Applications
  • Optimization and Search Problems
  • Game Theory and Voting Systems
  • Advanced Bandit Algorithms Research
  • Game Theory and Applications
  • Experimental Behavioral Economics Studies
  • Consumer Market Behavior and Pricing

Stefano Leonardi has also contributed to academic literature through book publications, including:

  • Fact or Fake? Tackling Science Disinformation, published by the European Organization for Nuclear Research in 2021

In recognition of their contributions, Stefano Leonardi was named a Fellow of the European Association for Theoretical Computer Science (EATCS) in 2018 for work in approximation and online algorithms and the interface between economics and computation.

Best Publications

  • Preferential attachment in the growth of social networks: the internet encyclopedia Wikipedia.

    Andrea Capocci;Vito D. P. Servedio;Francesca Colaiori;Luciana Buriol;Luciana Buriol

  • Online team formation in social networks

    Aris Anagnostopoulos;Luca Becchetti;Carlos Castillo;Aristides Gionis

  • Multiprocessor Scheduling with Rejection

    Yair Bartal;Stefano Leonardi;Alberto Marchetti-Spaccamela;Jirí Sgall

  • Counting triangles in data streams

    Luciana S. Buriol;Gereon Frahling;Stefano Leonardi;Alberto Marchetti-Spaccamela

  • A reference collection for web spam

    Carlos Castillo;Debora Donato;Luca Becchetti;Paolo Boldi

  • Approximating total flow time on parallel machines

    Stefano Leonardi;Danny Raz

  • Algorithms for the on-line travelling salesman

    Giorgio Ausiello;Esteban Feuerstein;Stefano Leonardi;Leen Stougie

  • Algorithms – ESA 2005

    Gerth Stølting Brodal;Stefano Leonardi

  • Approximating total flow time on parallel machines

    Stefano Leonardi;Danny Raz

  • Link-Based Characterization and Detection of Web Spam

    Luca Becchetti;Carlos Castillo;Debora Donato;Stefano Leonardi

  • Temporal Analysis of the Wikigraph

    L.S. Buriol;C. Castillo;D. Donato;S. Leonardi

  • Minimizing the Flow Time Without Migration

    Baruch Awerbuch;Yossi Azar;Stefano Leonardi;Oded Regev

  • Link analysis for Web spam detection

    Luca Becchetti;Carlos Castillo;Debora Donato;Ricardo Baeza-YATES

  • Power in unity: forming teams in large-scale community systems

    Aris Anagnostopoulos;Luca Becchetti;Carlos Castillo;Aristides Gionis

  • Mining the inner structure of the Web graph

    Debora Donato;Stefano Leonardi;Stefano Millozzi;Panayiotis Tsaparas

  • Using rank propagation and Probabilistic counting for Link-Based Spam Detection

    L. Becchetti;C. Castillo;D. Donato;S. Leonardi

  • Approximation Algorithms for Combinatorial Optimization

    Klaus Jansen;Stefano Leonardi;Vijay Vazirani

  • Large scale properties of the Webgraph

    D. Donato;L. Laura;S. Leonardi;S. Millozzi

  • Proceedings of the 24th International Conference on World Wide Web

    Aldo Gangemi;Stefano Leonardi;Alessandro Panconesi

  • Proceedings of the sixth ACM international conference on Web search and data mining

    Stefano Leonardi;Alessandro Panconesi;Paolo Ferragina;Aristides Gionis

  • Algorithms and Models for the Web-Graph

    Stefano Leonardi

  • Algorithms -- ESA 2005 : 13th Annual European Symposium, Palma de Mallorca, Spain, October 3-6, 2005 : proceedings

    Gerth Stølting Brodal;S. Leonardi

Frequent Co-Authors

Alberto Marchetti-Spaccamela
Alberto Marchetti-Spaccamela Sapienza University of Rome
Paolo Orlandi
Paolo Orlandi Sapienza University of Rome
Luciano Castillo
Luciano Castillo Purdue University West Lafayette
Mario A. Rotea
Mario A. Rotea The University of Texas at Dallas
Fabrizio Grandoni
Fabrizio Grandoni Dalle Molle Institute for Artificial Intelligence Research
R. A. Antonia
R. A. Antonia University of Newcastle Australia
Yair Bartal
Yair Bartal Hebrew University of Jerusalem
Amos Fiat
Amos Fiat Tel Aviv University
Leen Stougie
Leen Stougie Centrum Wiskunde & Informatica
Carlos Castillo
Carlos Castillo Pompeu Fabra University

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