World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
18820
World Ranking
4717
National Ranking
136

Vittorio Loreto 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 Vittorio Loreto 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: 181 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Vittorio Loreto 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 Vittorio Loreto 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Vittorio Loreto is affiliated with Sapienza University of Rome in Italy. Their research contributions span a range of topics situated primarily within the social sciences, with a strong interdisciplinary approach integrating elements of physics, economics, and computational methods.

The scientist's main fields of study include:

  • Social Sciences

More specific subfields addressed in their work are:

  • Statistical and Nonlinear Physics
  • Economics and Econometrics
  • Sociology and Political Science
  • Transportation
  • Computer Science Applications

Research topics consistently explored by Loreto comprise:

  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Evolutionary Game Theory and Cooperation
  • Misinformation and Its Impacts
  • Economic and Technological Innovation
  • Regional Economics and Spatial Analysis
  • Urban Transport and Accessibility

Frequent co-authors with whom Loreto collaborates include:

  • Pietro Gravino
  • Matteo Bruno
  • Hygor P. M. Melo
  • Bernardo Monechi
  • Stefan Thurner

Loreto's publication record includes papers in notable venues such as:

  • arXiv (Cornell University)
  • Scientific Reports
  • Nature Human Behaviour
  • Journal of Physics Complexity
  • Physical Review Research

Significant recent papers authored or co-authored by Loreto include:

  • Ranking the effectiveness of worldwide COVID-19 government interventions, 2020, Nature Human Behaviour
  • Ranking the effectiveness of worldwide COVID-19 government interventions, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • A universal framework for inclusive 15-minute cities, 2024, Nature Cities
  • Interacting Discovery Processes on Complex Networks, 2020, Physical Review Letters
  • Emergence and evolution of social networks through exploration of the Adjacent Possible space, 2021, Communications Physics

Best Publications

  • Statistical physics of social dynamics

    Claudio Castellano;Santo Fortunato;Vittorio Loreto

  • Defining and identifying communities in networks.

    Filippo Radicchi;Claudio Castellano;Federico Cecconi;Vittorio Loreto

  • Ranking the effectiveness of worldwide COVID-19 government interventions.

    Nils Haug;Lukas Geyrhofer;Alessandro Londei;Elma Dervic

  • Language trees and zipping.

    Dario Benedetto;Emanuele Caglioti;Vittorio Loreto

  • Manifesto of computational social science

    R. Conte;N. Gilbert;G. Bonelli;C. Cioffi-Revilla

  • Sharp transition towards shared vocabularies in multi-agent systems

    Andrea Baronchelli;Maddalena Felici;Vittorio Loreto;Emanuele Caglioti

  • Semiotic dynamics and collaborative tagging

    Ciro Cattuto;Vittorio Loreto;Luciano Pietronero

  • Network properties of folksonomies

    Ciro Cattuto_aff n;Christoph Schmitz;Andrea Baldassarri;Vito D. P. Servedio_aff n

  • Observing brownian motion in vibration-fluidized granular matter

    G. D'Anna;P. Mayor;A. Barrat;V. Loreto

  • Sharp transition towards shared vocabularies in multi-agent systems

    A. Baronchelli;M. Felici;E. Caglioti;V. Loreto

  • Nonequilibrium dynamics of language games on complex networks

    Luca Dall'Asta;Andrea Baronchelli;Alain Barrat;Vittorio Loreto

  • Cultural route to the emergence of linguistic categories

    Andrea Puglisi;Andrea Baronchelli;Vittorio Loreto

  • Edwards measures for powders and glasses

    Alain Barrat;Jorge Kurchan;Vittorio Loreto;Mauro Sellitto

  • Clustering and Non-Gaussian Behavior in Granular Matter

    A. Puglisi;V. Loreto;U. Marini Bettolo Marconi;U. Marini Bettolo Marconi;A. Petri

  • Opinion Dynamics: Models, Extensions and External Effects

    Alina Sîrbu;Vittorio Loreto;Vittorio Loreto;Vito Domenico Pietro Servedio;Francesca Tria

  • The dynamics of correlated novelties.

    Francesca Tria;Vittorio Loreto;Vito Domenico Pietro Servedio;Steven H. Strogatz

  • A "Tetris-Like" Model for the Compaction of Dry Granular Media

    Emanuele Caglioti;Vittorio Loreto;Vittorio Loreto;Hans J. Herrmann;Mario Nicodemi

  • Modeling the emergence of universality in color naming patterns.

    Andrea Baronchelli;Tao Gong;Andrea Puglisi;Vittorio Loreto

  • Social Dynamics: Emergence of Language

    Vittorio Loreto;Vittorio Loreto;Luc Steels

  • Kinetic approach to granular gases.

    A. Puglisi;V. Loreto;V. Loreto;V. Loreto;U. Marini Bettolo Marconi;U. Marini Bettolo Marconi;A. Vulpiani

  • Comparison of voter and Glauber ordering dynamics on networks.

    Claudio Castellano;Vittorio Loreto;Alain Barrat;Federico Cecconi

  • Collective dynamics of social annotation

    Ciro Cattuto;Alain Barrat;Andrea Baldassarri;Gregory Schehr

  • Folksonomies, the semantic web, and movie recommendation

    Martin Szomszor;Ciro Cattuto;Harith Alani;Kieron O’Hara

Frequent Co-Authors

Andrea Baronchelli
Andrea Baronchelli City, University of London
Alain Barrat
Alain Barrat Centre de Physique Théorique
Hans J. Herrmann
Hans J. Herrmann ESPCI Paris
Ciro Cattuto
Ciro Cattuto University of Turin
Alessandro Vespignani
Alessandro Vespignani Northeastern University
Luc Steels
Luc Steels Spanish National Research Council
Stéphane Roux
Stéphane Roux École Normale Supérieure Paris-Saclay
Andreas Hotho
Andreas Hotho University of Würzburg
Stefan Thurner
Stefan Thurner Medical University of Vienna
Falko Dressler
Falko Dressler Technical University of Berlin

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