World's Best Scientists 2026 revealed!
Francesco Bellotti

Francesco Bellotti

D-Index & Metrics

Computer Science

D-Index
36
Citations
8293
World Ranking
11035
National Ranking
350

Francesco Bellotti 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 Francesco Bellotti 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: 264 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Francesco Bellotti 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 Francesco Bellotti 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Francesco Bellotti is affiliated with the University of Genoa in Italy and has contributed extensively to research in the fields of Computer Science and Engineering. Their work spans multiple subfields including Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Computer Networks and Communications, and Control and Systems Engineering.

Bellotti's research covers a range of topics, particularly focusing on Autonomous Vehicle Technology and Safety, IoT and Edge/Fog Computing, Traffic Control and Management, Advanced Neural Network Applications, Context-Aware Activity Recognition Systems, Reinforcement Learning in Robotics, and Educational Games and Gamification.

Their recent publications include:

  • "Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations", 2023, published in IEEE Access
  • "Machine Learning on Mainstream Microcontrollers", 2020, published in Sensors
  • "The Fabric ICT Platform for Managing Wireless Dynamic Charging Road Lanes", 2020, published in IEEE Transactions on Vehicular Technology
  • "Atmosphere, an Open Source Measurement-Oriented Data Framework for IoT", 2020, published in IEEE Transactions on Industrial Informatics
  • "IoT Sensing for Reality-Enhanced Serious Games, a Fuel-Efficient Drive Use Case", 2021, published in Sensors

Frequent co-authors collaborating with Bellotti include Riccardo Berta, Luca Lazzaroni, Alessandro De Gloria, Alessio Capello, and Matteo Fresta.

Bellotti's research has been disseminated in various scholarly venues, notably:

  • International Journal of Serious Games
  • Sensors
  • Electronics
  • IEEE Open Journal of the Industrial Electronics Society
  • IEEE Access

Their contributions also extend to book publications, with several appearances in works published by Springer Science+Business Media. These include multiple editions of "Games and Learning Alliance" released between 2020 and 2022.

Best Publications

  • Mapping learning and game mechanics for serious games analysis

    S. Sylvester Arnab;T. Theodore Lim;M. Maira Brandao Carvalho;F. Francesco Bellotti

  • Learning cultural heritage by serious games

    Michela Mortara;Chiara Eva Catalano;Francesco Bellotti;Giusy Fiucci

  • Assessment in and of serious games: an overview

    Francesco Bellotti;Bill Kapralos;Kiju Lee;Pablo Moreno-Ger

  • An activity theory-based model for serious games analysis and-conceptual design

    Maira B. Carvalho;Francesco Bellotti;Riccardo Berta;Alessandro De Gloria

  • Characterising and measuring user experiences in digital games

    WA Wijnand IJsselsteijn;de Yaw Yvonne Kort;K Karolien Poels;A Jurgelionis

  • Serious Games for education and training

    Alessandro De Gloria;Francesco Bellotti;Riccardo Berta

  • Designing Effective Serious Games: Opportunities and Challenges for Research

    Francesco Bellotti;Riccardo Berta;Alessandro De Gloria

  • A serious game model for cultural heritage

    Francesco Bellotti;Riccardo Berta;Alessandro De Gloria;Annamaria D'ursi

  • Electroencephalogram and Physiological Signal Analysis for Assessing Flow in Games

    R. Berta;F. Bellotti;A. De Gloria;D. Pranantha

  • Enhancing the educational value of video games

    F. Bellotti;R. Berta;A. De Gloria;L. Primavera

  • Designing a Course for Stimulating Entrepreneurship in Higher Education through Serious Games

    F. Bellotti;R. Berta;A. De Gloria;E. Lavagnino

  • Serious games and the development of an entrepreneurial mindset in higher education engineering students

    F. Bellotti;R. Berta;A. De Gloria;E. Lavagnino

  • User testing a hypermedia tour guide

    F. Bellotti;C. Berta;A. de Gloria;M. Margarone

  • Platform for distributed 3D gaming

    A. Jurgelionis;P. Fechteler;P. Eisert;F. Bellotti

  • Adaptive Experience Engine for Serious Games

    F. Bellotti;R. Berta;A. De Gloria;L. Primavera

  • Designing serious games for education: From pedagogical principles to game mechanisms

    F. Bellotti;M. Ott;S. Arnab;R. Berta

  • Time-Aware Multivariate Nearest Neighbor Regression Methods for Traffic Flow Prediction

    Pietro Dell'Acqua;Francesco Bellotti;Riccardo Berta;Alessandro De Gloria

  • A Gamified Short Course for Promoting Entrepreneurship among ICT Engineering Students

    Francesco Bellotti;Riccardo Berta;Alessandro De Gloria;Elisa Lavagnino

  • Novel television-based cognitive training improves working memory and executive function.

    Evelyn Shatil;Evelyn Shatil;Jaroslava Mikulecká;Francesco Bellotti;Vladimír Bureš

  • Machine Learning on Mainstream Microcontrollers

    Fouad Sakr;Francesco Bellotti;Riccardo Berta;Alessandro De Gloria

  • Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results

    A Amditis;L Andreone;K Pagle;G Markkula

Frequent Co-Authors

Pablo Moreno-Ger
Pablo Moreno-Ger Universidad Internacional De La Rioja
Matthias Rauterberg
Matthias Rauterberg Eindhoven University of Technology
Mehrdad Dianati
Mehrdad Dianati Queen's University Belfast
Peter Eisert
Peter Eisert Humboldt-Universität zu Berlin
Ana Paiva
Ana Paiva Instituto Superior Técnico
Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
WA Wijnand IJsselsteijn
WA Wijnand IJsselsteijn Eindhoven University of Technology
Paolo Guglielmi
Paolo Guglielmi Polytechnic University of Turin
Karolien Poels
Karolien Poels University of Antwerp
Sergio Saponara
Sergio Saponara University of Pisa

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