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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
17130
World Ranking
3373
National Ranking
56

Laurent Massoulié 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 Laurent Massoulié 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Laurent Massoulié 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 Laurent Massoulié 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: 59 D-Index — 77th percentile

77% 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 France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Laurent Massoulié is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans multiple areas within computer science and mathematics, with a focus on topics such as stochastic gradient optimization techniques, Markov chains and Monte Carlo methods, privacy-preserving technologies in data, sparse and compressive sensing techniques, random matrices and applications, distributed control multi-agent systems, and stochastic processes and statistical mechanics.

Their published work covers a range of fields including computer science and mathematics, contributing notably to subfields like artificial intelligence, statistics and probability, computer networks and communications, computational theory and mathematics, and mathematical physics.

Laurent Massoulié has frequently published in venues such as arXiv (Cornell University), Operations Research, The Annals of Applied Probability, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and the SIAM Journal on Optimization.

Recent papers include:

  • Partial Recovery in the Graph Alignment Problem, 2022, Operations Research
  • An Optimal Algorithm for Decentralized Finite-Sum Optimization, 2021, SIAM Journal on Optimization
  • Understanding and monitoring the evolution of the Covid-19 epidemic from medical emergency calls: the example of the Paris area, 2020, Comptes Rendus Mathématique
  • Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization, 2020, arXiv (Cornell University)
  • Impossibility of Partial Recovery in the Graph Alignment Problem, 2021, arXiv (Cornell University)

Their frequent co-authors include:

  • Mathieu Even
  • Hadrien Hendrikx
  • Luca Ganassali
  • Francis Bach
  • Kevin Scaman

Best Publications

  • Bandwidth sharing: objectives and algorithms

    Laurent Massoulié;James Roberts

  • The effect of network topology on the spread of epidemics

    A. Ganesh;L. Massoulie;D. Towsley

  • Epidemic information dissemination in distributed systems

    P.T. Eugster;R. Guerraoui;A.-M. Kermarrec;L. Massoulie

  • Peer-to-peer membership management for gossip-based protocols

    A.J. Ganesh;A.-M. Kermarrec;L. Massoulie

  • Probabilistic reliable dissemination in large-scale systems

    A.-M. Kermarrec;L. Massoulie;A.J. Ganesh

  • Impact of fairness on Internet performance

    Thomas Bonald;Laurent Massoulié

  • STABILITY OF NONLINEAR HAWKES PROCESSES

    Pierre Brémaud;Laurent Massoulié

  • Greening the internet with nano data centers

    Vytautas Valancius;Nikolaos Laoutaris;Laurent Massoulié;Christophe Diot

  • Community detection thresholds and the weak Ramanujan property

    Laurent Massoulié

  • Thresholds for virus spread on networks

    Moez Draief;Ayalvadi Ganesh;Laurent Massoulié

  • Optimal and scalable distribution of content updates over a mobile social network

    S. Ioannidis;A. Chaintreau;L. Massoulie

  • Bandwidth sharing and admission control for elastic traffic

    L. Massoulié;J. W. Roberts

  • A Utility Optimization Approach to Network Cache Design

    Mostafa Dehghan;Laurent Massoulie;Don Towsley;Daniel Sadoc Menasche

  • Epidemic live streaming: optimal performance trade-offs

    Thomas Bonald;Laurent Massoulié;Fabien Mathieu;Diego Perino

  • Optimal content placement for peer-to-peer video-on-demand systems

    Bo Tan;Laurent Massoulie

  • Coupon replication systems

    Laurent Massoulié;Milan Vojnovic

  • From Epidemics to Distributed Computing

    P. Th. Eugster;R. Guerraoui;A.-M. Kermarrec;L. Massoulie

  • Gossiping with Multiple Messages

    S. Sanghavi;B. Hajek;L. Massoulie

  • Peer counting and sampling in overlay networks: random walk methods

    Laurent Massoulié;Erwan Le Merrer;Anne-Marie Kermarrec;Ayalvadi Ganesh

  • SCAMP: Peer-to-Peer Lightweight Membership Service for Large-Scale Group Communication

    Ayalvadi J. Ganesh;Anne-Marie Kermarrec;Laurent Massoulié

  • Optimal algorithms for smooth and strongly convex distributed optimization in networks

    Kevin Seaman;Francis Bach;Sébastien Bubeck;Yin Tat Lee

Frequent Co-Authors

Peter Key
Peter Key Microsoft (United States)
Marc Lelarge
Marc Lelarge École Normale Supérieure
Ayalvadi Ganesh
Ayalvadi Ganesh University of Bristol
Stratis Ioannidis
Stratis Ioannidis Northeastern University
Anne-Marie Kermarrec
Anne-Marie Kermarrec École Polytechnique Fédérale de Lausanne
Francis Bach
Francis Bach École Normale Supérieure
Don Towsley
Don Towsley University of Massachusetts Amherst
Theodoros Salonidis
Theodoros Salonidis IBM (United States)
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Milan Vojnovic
Milan Vojnovic London School of Economics and Political Science

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