World's Best Scientists 2026 revealed!
Michele Garetto

Michele Garetto

D-Index & Metrics

Computer Science

D-Index
32
Citations
5005
World Ranking
13082
National Ranking
456

Michele Garetto 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 Michele Garetto 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: 113 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.

Michele Garetto 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 Michele Garetto 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Michele Garetto is affiliated with the University of Turin in Italy. Their research spans multiple intersecting domains within physics, astronomy, and computer science, with a primary focus on statistical and nonlinear physics. They have contributed significantly to subfields including computer networks and communications, management science and operations research, mathematical physics, and information systems.

The scientist's research topics cover a wide range of areas such as opinion dynamics and social influence, complex network analysis techniques, game theory and applications, caching and content delivery, stochastic processes and statistical mechanics, optimization and search problems, and covalent organic framework applications.

Michele Garetto has authored several papers, with notable recent publications including:

  • "Similarity Caching: Theory and Algorithms," 2021, published in IEEE/ACM Transactions on Networking
  • "Mining and modelling temporal dynamics of followers' engagement on online social networks," 2022, published in Social Network Analysis and Mining
  • "Modeling communication asymmetry and content personalization in online social networks," 2023, published in Online Social Networks and Media
  • "GRADES: Gradient Descent for Similarity Caching," 2022, published in IEEE/ACM Transactions on Networking
  • "User Interaction with Online Advertisements," 2020, published in ACM Transactions on Modeling and Performance Evaluation of Computing Systems

The venues where Michele Garetto frequently publishes reflect the interdisciplinary nature of their work. These venues include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • Social Network Analysis and Mining
  • Online Social Networks and Media
  • Bernoulli

Collaborations form an integral part of their scientific contributions. Frequent coauthors include:

  • Emilio Leonardi
  • Luca Vassio
  • Franco Galante
  • Chiara Ravazzi
  • Giovanni Neglia

This network of frequent collaborators illustrates interdisciplinary research efforts, especially in areas related to complex network analysis and caching algorithms.

Best Publications

  • Modeling per-flow throughput and capturing starvation in CSMA multi-hop wireless networks

    Michele Garetto;Theodoros Salonidis;Edward W. Knightly

  • Modeling the performance of wireless sensor networks

    C.-F. Chiasserini;M. Garetto

  • Modeling malware spreading dynamics

    M. Garetto;W. Gong;D. Towsley

  • Temporal locality in today's content caching: why it matters and how to model it

    Stefano Traverso;Mohamed Ahmed;Michele Garetto;Paolo Giaccone

  • A unified approach to the performance analysis of caching systems

    Valentina Martina;Michele Garetto;Emilio Leonardi

  • Modeling media access in embedded two-flow topologies of multi-hop wireless networks

    Michele Garetto;Jingpu Shi;Edward W. Knightly

  • A Unified Approach to the Performance Analysis of Caching Systems

    Michele Garetto;Emilio Leonardi;Valentina Martina

  • Impact of correlated mobility on delay-throughput performance in mobile ad hoc networks

    Delia Ciullo;Valentina Martina;Michele Garetto;Emilio Leonardi

  • An Analytical Model for Wireless Sensor Networks with Sleeping Nodes

    C.-F. Chiasserini;M. Garetto

  • A Distributed Sensor Relocatlon Scheme for Environmental Control

    M. Garetto;M. Gribaudo;C.-F. Chiasserini;E. Leonardi

  • Using partial differential equations to model TCP mice and elephants in large IP networks

    Marco Ajmone Marsan;Michele Garetto;Paolo Giaccone;Emilio Leonardi

  • Route Stability in MANETs under the Random Direction Mobility Model

    G. Carofiglio;C.-F. Chiasserini;M. Garetto;E. Leonardi

  • Capacity scaling in delay tolerant networks with heterogeneous mobile nodes

    Michele Garetto;Paolo Giaccone;Emilio Leonardi

  • Identifying High Throughput Paths in 802.11 Mesh Networks: a Model-based Approach

    T. Salonidis;M. Garetto;A. Saha;E. Knightly

  • Modeling, simulation and measurements of queuing delay under long-tail internet traffic

    Michele Garetto;Don Towsley

  • A detailed and accurate closed queueing network model of many interacting TCP flows

    M. Garetto;R. Lo Cigno;M. Meo;M. Ajmone Marsan

  • Efficient analysis of caching strategies under dynamic content popularity

    Michele Garetto;Emilio Leonardi;Stefano Traverso

  • Restricted Mobility Improves Delay-Throughput Tradeoffs in Mobile Ad Hoc Networks

    M Garetto;E Leonardi

  • Content-centric wireless networks with limited buffers: when mobility hurts

    Giusi Alfano;Michele Garetto;Emilio Leonardi

  • Capacity scaling of wireless networks with inhomogeneous node density: upper bounds

    G. Alfano;M. Garetto;E. Leonardi

  • Capacity scaling in ad hoc networks with heterogeneous mobile nodes: the super-critical regime

    Michele Garetto;Paolo Giaccone;Emilio Leonardi

Frequent Co-Authors

Emilio Leonardi
Emilio Leonardi Polytechnic University of Turin
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin
Paolo Giaccone
Paolo Giaccone Polytechnic University of Turin
Marco Ajmone Marsan
Marco Ajmone Marsan Polytechnic University of Turin
Michela Meo
Michela Meo Polytechnic University of Turin
Edward W. Knightly
Edward W. Knightly Rice University
Renato Lo Cigno
Renato Lo Cigno University of Brescia
Theodoros Salonidis
Theodoros Salonidis IBM (United States)
Marco Mellia
Marco Mellia Polytechnic University of Turin
Don Towsley
Don Towsley University of Massachusetts Amherst

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