World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4265
World Ranking
12261
National Ranking
310

Marc Lelarge 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 Marc Lelarge 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: 140 publications — 23rd percentile

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

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

Marc Lelarge 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 Marc Lelarge 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Marc Lelarge is affiliated with the École Normale Supérieure in France, with a research focus primarily in the field of Computer Science. Their work spans several subfields, including Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Statistics and Probability, and Control and Systems Engineering.

The main topics of research covered by Marc Lelarge include:

  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Speech and dialogue systems
  • Natural Language Processing Techniques
  • Machine Learning and Algorithms
  • Model Reduction and Neural Networks

Lelarge has published numerous papers, with recent contributions as follows:

  • "Expressive Power of Invariant and Equivariant Graph Neural Networks", 2020, arXiv (Cornell University)
  • "Impossibility of Partial Recovery in the Graph Alignment Problem", 2021, arXiv (Cornell University)
  • "Correlation detection in trees for planted graph alignment", 2024, The Annals of Applied Probability
  • "Spectral alignment of correlated Gaussian matrices", 2022, Advances in Applied Probability
  • "Convergence beyond the over-parameterized regime using Rayleigh quotients", 2023, arXiv (Cornell University)

Frequent coauthors collaborating with Lelarge include:

  • Matthieu Blanke
  • Luca Ganassali
  • Laurent Massoulié
  • Stéphane d'Ascoli
  • Alice Coucke

The preferred publication venues emphasize the presence in preprint archives and applied probability journals. Notable venues where Lelarge has published multiple works include:

  • arXiv (Cornell University)
  • The Annals of Applied Probability
  • Advances in Applied Probability
  • 2022 IEEE 61st Conference on Decision and Control (CDC)
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Universality in polytope phase transitions and message passing algorithms

    Mohsen Bayati;Marc Lelarge;Andrea Montanari

  • Non-backtracking Spectrum of Random Graphs: Community Detection and Non-regular Ramanujan Graphs

    Charles Bordenave;Marc Lelarge;Laurent Massoulie

  • Combinatorial bandits revisited

    Richard Combes;M. Sadegh Talebi;Alexandre Proutiere;Marc Lelarge

  • Fundamental limits of symmetric low-rank matrix estimation

    Marc Lelarge;Marc Lelarge;Léo Miolane;Léo Miolane

  • Balanced graph edge partition

    Florian Bourse;Marc Lelarge;Milan Vojnovic

  • Economic Incentives to Increase Security in the Internet: The Case for Insurance

    M. Lelarge;J. Bolot

  • Diffusion and cascading behavior in random networks

    Marc Lelarge

  • Statistical and computational phase transitions in spiked tensor estimation

    Thibault Lesieur;Leo Miolane;Marc Lelarge;Florent Krzakala

  • Community Detection in the Labelled Stochastic Block Model

    Simon Heimlicher;Marc Lelarge;Laurent Massoulié

  • A local mean field analysis of security investments in networks

    Marc Lelarge;Jean Bolot

  • Cyber Insurance as an Incentivefor Internet Security

    Jean Bolot;Marc Lelarge

  • Resolvent of large random graphs: Resolvent of Large Random Graphs

    Charles Bordenave;Marc Lelarge

  • Resolvent of large random graphs

    Charles Bordenave;Marc Lelarge

  • Network externalities and the deployment of security features and protocols in the internet

    Marc Lelarge;Jean Bolot

  • Leveraging side observations in stochastic bandits

    Stéphane Caron;Branislav Kveton;Marc Lelarge;Smriti Bhagat

  • Reconstruction in the Labelled Stochastic Block Model

    Marc Lelarge;Laurent Massoulie;Jiaming Xu

  • A New Perspective on Internet Security using Insurance

    J.C. Bolot;M. Lelarge

  • Economics of malware: Epidemic risks model, network externalities and incentives

    Marc Lelarge

  • Matchings on infinite graphs

    Charles Bordenave;Marc Lelarge;Justin Salez

  • A spectral method for community detection in moderately-sparse degree-corrected stochastic block models

    Lennart Gulikers;Lennart Gulikers;Marc Lelarge;Laurent Massoulié

  • Non-backtracking spectrum of random graphs: community detection and non-regular Ramanujan graphs

    Charles Bordenave;Marc Lelarge

Frequent Co-Authors

Laurent Massoulié
Laurent Massoulié French Institute for Research in Computer Science and Automation - INRIA
Charles Bordenave
Charles Bordenave Aix-Marseille University
Thomas Bonald
Thomas Bonald Télécom ParisTech
Florent Krzakala
Florent Krzakala École Polytechnique Fédérale de Lausanne
Alexandre Proutiere
Alexandre Proutiere Royal Institute of Technology
Lenka Zdeborová
Lenka Zdeborová École Polytechnique Fédérale de Lausanne
David Aldous
David Aldous University of California, Berkeley
François Baccelli
François Baccelli French Institute for Research in Computer Science and Automation - INRIA
Darryl Veitch
Darryl Veitch University of Technology Sydney
Zhen Liu
Zhen Liu Nokia (Finland)

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