World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
16687
World Ranking
9024
National Ranking
166

Matthias Grossglauser 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 Matthias Grossglauser 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: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Matthias Grossglauser 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 Matthias Grossglauser 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Matthias Grossglauser is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily focuses on Computer Science, with a particular emphasis on Artificial Intelligence and related subfields.

The scientist's work spans several specialized areas within Computer Science, including:

  • Domain Adaptation and Few-Shot Learning
  • Complex Network Analysis Techniques
  • Advanced Clustering Algorithms Research
  • Data Management and Algorithms
  • Advanced Image and Video Retrieval Techniques
  • Machine Learning and Algorithms
  • Wikis in Education and Collaboration

Grossglauser has contributed to recent academic literature with publications such as:

  • "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification" (2020, arXiv (Cornell University))
  • "When Does Bottom-up Beat Top-down in Hierarchical Community Detection?" (2023, arXiv (Cornell University))
  • "Fast Interactive Search with a Scale-Free Comparison Oracle" (2023, arXiv (Cornell University))
  • "It's All Relative: Interpretable Models for Scoring Bias in Documents" (2023, arXiv (Cornell University))
  • "Studying Lobby Influence in the European Parliament" (2023, arXiv (Cornell University))

The scientist frequently publishes in the venue arXiv (Cornell University), where they have at least 12 publications. Other publication venues include Zenodo (CERN European Organization for Nuclear Research), OPAL (Open@LaTrobe) at La Trobe University, and the Journal of the American Statistical Association.

Collaboration is a notable aspect of Grossglauser's career. Frequent co-authors include:

  • Patrick Thiran
  • Aswin Suresh
  • Maximilien Dreveton
  • Victor Kristof
  • Suryanarayana Sankagiri

The scientist's work reflects a strong interdisciplinary approach, bridging theoretical frameworks with practical algorithms in Artificial Intelligence and network analysis. The focus on transfer learning, community detection, and algorithmic bias demonstrates engagement with current challenges in machine learning and data-driven decision-making.

Best Publications

  • Mobility increases the capacity of ad hoc wireless networks

    Matthias Grossglauser;David N. C. Tse

  • On the relevance of long-range dependence in network traffic

    Matthias Grossglauser;Jean-Chrysostome Bolot

  • Trajectory sampling for direct traffic observation

    N. G. Duffield;Matthias Grossglauser

  • Age matters: efficient route discovery in mobile ad hoc networks using encounter ages

    Henri Dubois-Ferriere;Matthias Grossglauser;Martin Vetterli

  • TraNS: realistic joint traffic and network simulator for VANETs

    M. Piórkowski;M. Raya;A. Lezama Lugo;P. Papadimitratos

  • MobiRoute : Routing towards a mobile sink for improving lifetime in sensor networks

    Jun Luo;Jacques Panchard;Michal Piorkowski;Matthias Grossglauser

  • A parsimonious model of mobile partitioned networks with clustering

    Michal Piorkowski;Natasa Sarafijanovic-Djukic;Matthias Grossglauser

  • CRAWDAD dataset epfl/mobility (v.2009-02-24)

    Michal Piorkowski;Natasa Sarafijanovic-Djukic;Matthias Grossglauser

  • A framework for robust measurement-based admission control

    Matthias Grossglauser;David N. C. Tse

  • RCBR: a simple and efficient service for multiple time-scale traffic

    M. Grossglauser;S. Keshav;D. Tse

  • Launch hard or go home!: predicting the success of kickstarter campaigns

    Vincent Etter;Matthias Grossglauser;Patrick Thiran

  • Locating nodes with EASE: last encounter routing in ad hoc networks through mobility diffusion

    M. Grossglauser;M. Vetterli

  • RCBR: a simple and efficient service for multiple time-scale traffic

    Matthias Grossglauser;Srinivasan Keshav;David N. C. Tse

  • On the privacy of anonymized networks

    Pedram Pedarsani;Matthias Grossglauser

  • Consistent sampling for network traffic measurement

    Nicholas G. Duffield;Matthias Grossglauser

  • On the performance of percolation graph matching

    Lyudmila Yartseva;Matthias Grossglauser

  • Even one-dimensional mobility increases ad hoc wireless capacity

    S.N. Diggavi;M. Grossglauser;D.N.C. Tse

  • A time-scale decomposition approach to measurement-based admission control

    Matthias Grossglauser;David N. C. Tse

  • Island Hopping: Efficient Mobility-Assisted Forwarding in Partitioned Networks

    Natasa Sarafijanovic-Djukic;Michal Pidrkowski;Matthias Grossglauser

  • Valuable detours: least-cost anypath routing

    Henri Dubois-Ferrière;Matthias Grossglauser;Martin Vetterli

Frequent Co-Authors

Patrick Thiran
Patrick Thiran École Polytechnique Fédérale de Lausanne
David Tse
David Tse Stanford University
Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Srinivasan Keshav
Srinivasan Keshav University of Cambridge
Nick Duffield
Nick Duffield Texas A&M University
Jean-Pierre Hubaux
Jean-Pierre Hubaux École Polytechnique Fédérale de Lausanne
Kenneth L. Clarkson
Kenneth L. Clarkson IBM (United States)
Jun Luo
Jun Luo Nanyang Technological University
Panos Papadimitratos
Panos Papadimitratos Royal Institute of Technology

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