World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
17075
World Ranking
3376
National Ranking
203

Mirco Musolesi 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 Mirco Musolesi 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Mirco Musolesi 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 Mirco Musolesi 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.

Overview

Mirco Musolesi is affiliated with University College London in the United Kingdom. Their research primarily spans the field of Computer Science with a significant focus on Artificial Intelligence.

Their subfields of study include:

  • Artificial Intelligence
  • Sociology and Political Science
  • Safety Research
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition

Musolesi's work covers various main topics such as:

  • Explainable Artificial Intelligence (XAI)
  • Personal Information Management and User Behavior
  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Complex Network Analysis Techniques
  • Evolutionary Game Theory and Cooperation
  • Experimental Behavioral Economics Studies

Frequent publication venues for Musolesi include:

  • arXiv (Cornell University)
  • Royal Society Open Science
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • IEEE Pervasive Computing

Frequent co-authors collaborating with Musolesi are:

  • Stephen Hailes
  • Victor-Alexandru Darvariu
  • Giorgio Franceschelli
  • Abhinav Mehrotra
  • Olivia Macmillan-Scott

Musolesi has contributed to recent papers including:

  • Copyright in generative deep learning, 2022, Data & Policy
  • On the creativity of large language models, 2024, AI & Society
  • Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges, 2024, Journal of Artificial Intelligence Research
  • Creativity and Machine Learning: A Survey, 2024, ACM Computing Surveys
  • Ecological brain: reframing the study of human behaviour and cognition, 2024, Royal Society Open Science

Their book publication includes Intelligent Notification Systems, published in 2020 by Morgan & Claypool Publishers.

Best Publications

  • Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

    Emiliano Miluzzo;Nicholas D. Lane;Kristóf Fodor;Ronald Peterson

  • The Rise of People-Centric Sensing

    A.T. Campbell;S.B. Eisenman;N.D. Lane;E. Miluzzo

  • EmotionSense: a mobile phones based adaptive platform for experimental social psychology research

    Kiran K. Rachuri;Mirco Musolesi;Cecilia Mascolo;Peter J. Rentfrow

  • Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks

    P. Costa;C. Mascolo;M. Musolesi;G.P. Picco

  • Adaptive routing for intermittently connected mobile ad hoc networks

    M. Musolesi;S. Hailes;C. Mascolo

  • Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis

    Luca Canzian;Mirco Musolesi

  • A community based mobility model for ad hoc network research

    Mirco Musolesi;Cecilia Mascolo

  • CAR: Context-Aware Adaptive Routing for Delay-Tolerant Mobile Networks

    M. Musolesi;C. Mascolo

  • The anatomy of a scientific rumor

    M. De Domenico;A. Lima;P. Mougel;P. Mougel;M. Musolesi

  • Designing mobility models based on social network theory

    Mirco Musolesi;Cecilia Mascolo

  • Who Benefits from the "Sharing" Economy of Airbnb?

    Giovanni Quattrone;Davide Proserpio;Daniele Quercia;Licia Capra

  • Urban sensing systems: opportunistic or participatory?

    Nicholas D. Lane;Shane B. Eisenman;Mirco Musolesi;Emiliano Miluzzo

  • NextPlace: a spatio-temporal prediction framework for pervasive systems

    Salvatore Scellato;Mirco Musolesi;Cecilia Mascolo;Vito Latora

  • Small-world behavior in time-varying graphs.

    J. Tang;S. Scellato;M. Musolesi;C. Mascolo

  • InterruptMe: designing intelligent prompting mechanisms for pervasive applications

    Veljko Pejovic;Mirco Musolesi

  • Graph Metrics for Temporal Networks

    Vincenzo Nicosia;John Kit Tang;Cecilia Mascolo;Mirco Musolesi

  • My Phone and Me: Understanding People's Receptivity to Mobile Notifications

    Abhinav Mehrotra;Veljko Pejovic;Jo Vermeulen;Robert Hendley

  • Distance matters: geo-social metrics for online social networks

    Salvatore Scellato;Cecilia Mascolo;Mirco Musolesi;Vito Latora

  • SociableSense: exploring the trade-offs of adaptive sampling and computation offloading for social sensing

    Kiran K. Rachuri;Cecilia Mascolo;Mirco Musolesi;Peter J. Rentfrow

  • Smartphones for Large-Scale Behavior Change Interventions

    N. Lathia;V. Pejovic;K. K. Rachuri;C. Mascolo

  • Temporal distance metrics for social network analysis

    John Tang;Mirco Musolesi;Cecilia Mascolo;Vito Latora

Frequent Co-Authors

Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Vito Latora
Vito Latora Queen Mary University of London
Andrew T. Campbell
Andrew T. Campbell Dartmouth College
Stephen Hailes
Stephen Hailes University College London
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Salvatore Scellato
Salvatore Scellato Google (United States)
Gianluca Stringhini
Gianluca Stringhini Boston University
Peter J. Rentfrow
Peter J. Rentfrow University of Cambridge
Peter Tino
Peter Tino University of Birmingham
Sasu Tarkoma
Sasu Tarkoma University of Helsinki

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options can complement your Computer Science studies in the USA. Many students now choose flexible online programs to enhance their skills or pursue advanced qualifications alongside work or other responsibilities.

If you’re considering graduate programs, there are cheapest doctorate degree online opportunities that make earning a PhD or EdD more accessible than ever. For those seeking to fast-track their education, shortest online edd programs allow students to earn valuable credentials in less time.

Not everyone starts with a bachelor’s degree. Some students prefer a quicker route with a technical focus. For these learners, a fast track associates degree online can provide fundamental knowledge and open doors to entry-level positions or further study.

For those interested in combining business skills with technology, there are also many online business degree programs designed to fit any schedule or budget. Exploring these options can help you tailor your academic path to your interests and career goals in the tech industry.

Best Scientists Citing Mirco Musolesi

Trending Scientists

Recently Published Articles