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Engineering and Technology
UK
2022

D-Index & Metrics

Engineering and Technology

D-Index
90
Citations
54068
World Ranking
258
National Ranking
19

Vito Latora publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Vito Latora sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 288 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Vito Latora D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Vito Latora sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 90 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2022 - Research.com Engineering and Technology in United Kingdom Leader Award

Overview

Vito Latora is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily focuses on the field of Physics and Astronomy, with a significant number of publications in subfields such as Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Economics and Econometrics, and Sociology and Political Science.

The main topics in Latora's work include:

  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Evolutionary Game Theory and Cooperation
  • Nonlinear Dynamics and Pattern Formation
  • Complex Systems and Time Series Analysis
  • Evolution and Genetic Dynamics
  • Neural dynamics and brain function

Publications by Latora appear frequently in the following venues:

  • arXiv (Cornell University)
  • Nature Communications
  • Scientific Reports
  • Physical Review. E
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers authored or coauthored by Latora include:

  • "The physics of higher-order interactions in complex systems," 2021, Nature Physics
  • "Evolutionary dynamics of higher-order interactions in social networks," 2021, Zurich Open Repository and Archive (University of Zurich)
  • "Stability of synchronization in simplicial complexes," 2021, Nature Communications
  • "Hunter-gatherer multilevel sociality accelerates cumulative cultural evolution," 2020, Science Advances
  • "Synchronization induced by directed higher-order interactions," 2022, Communications Physics

Frequent collaborators in Latora's research include:

  • Mattia Frasca
  • Federico Battiston
  • Luca Gallo
  • Jesús Gómez-Gardeñes
  • Iacopo Iacopini

Best Publications

  • Complex networks: Structure and dynamics

    S. Boccaletti;V. Latora;V. Latora;Y. Moreno;M. Chavez

  • Efficient Behavior of Small-World Networks

    Vito Latora;Vito Latora;Massimo Marchiori;Massimo Marchiori

  • Networks beyond pairwise interactions: Structure and dynamics

    Federico Battiston;Giulia Cencetti;Iacopo Iacopini;Iacopo Iacopini;Vito Latora

  • Model for cascading failures in complex networks

    Paolo Crucitti;Vito Latora;Massimo Marchiori

  • The network analysis of urban streets: A dual approach

    Sergio Porta;Paolo Crucitti;Vito Latora

  • The Network Analysis of Urban Streets: A Primal Approach:

    Sergio Porta;Paolo Crucitti;Vito Latora

  • Economic Small-World Behavior in Weighted Networks

    Vito Latora;Massimo Marchiori

  • Modeling cascading failures in the North American power grid

    R. Kinney;P. Crucitti;R. Albert;V. Latora

  • Centrality measures in spatial networks of urban streets

    Paolo Crucitti;Vito Latora;Sergio Porta

  • Is the Boston subway a small-world network ?

    Vito Latora;Massimo Marchiori

  • Simplicial models of social contagion

    Iacopo Iacopini;Iacopo Iacopini;Giovanni Petri;Alain Barrat;Alain Barrat;Vito Latora

  • Structural measures for multiplex networks.

    Federico Battiston;Vincenzo Nicosia;Vincenzo Nicosia;Vito Latora;Vito Latora;Vito Latora

  • The physics of higher-order interactions in complex systems

    Federico Battiston;Enrico Amico;Enrico Amico;Alain Barrat;Ginestra Bianconi;Ginestra Bianconi

  • Error and attack tolerance of complex networks

    Paolo Crucitti;Vito Latora;Massimo Marchiori;Andrea Rapisarda

  • Structural reducibility of multilayer networks

    Manlio De Domenico;Vincenzo Nicosia;Alexandre Arenas;Vito Latora;Vito Latora

  • Efficiency of scale-free networks: error and attack tolerance

    Paolo Crucitti;Vito Latora;Massimo Marchiori;Andrea Rapisarda

  • A topological analysis of the Italian electric power grid

    Paolo Crucitti;Vito Latora;Massimo Marchiori

  • A measure of centrality based on network efficiency

    V Latora;M Marchiori

  • Vulnerability and protection of infrastructure networks.

    Vito Latora;Massimo Marchiori

  • Centrality in networks of urban streets

    Paolo Crucitti;Vito Latora;Sergio Porta

  • Error and attacktolerance of complex network s

    Paolo Crucitti;Vito Latora;Massimo Marchiori;Andrea Rapisarda

Frequent Co-Authors

Jesús Gómez-Gardeñes
Jesús Gómez-Gardeñes University of Zaragoza
Sergio Vinciguerra
Sergio Vinciguerra University of Turin
Salvatore Scellato
Salvatore Scellato Google (United States)
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Mirco Musolesi
Mirco Musolesi University College London
Stefano Boccaletti
Stefano Boccaletti Institute for Complex Systems
Yamir Moreno
Yamir Moreno University of Zaragoza
Constantino Tsallis
Constantino Tsallis Centro Brasileiro de Pesquisas Físicas
Mattia Frasca
Mattia Frasca University of Catania
Giovanni Russo
Giovanni Russo University of Catania

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