World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5688
World Ranking
11635
National Ranking
731

Marc Cavazza 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 Marc Cavazza 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: 291 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Marc Cavazza 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 Marc Cavazza 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Marc Cavazza is affiliated with the University of Stirling in the United Kingdom. Their research spans multiple areas within computer science and neuroscience, with a significant focus on artificial intelligence applications and cognitive neuroscience.

Their recent publications cover a range of interdisciplinary topics. Notable papers include:

  • Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist), 2020, Brain
  • Decentralized Multi-Agent Path Finding for UAV Traffic Management, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting, 2022, Sensors
  • Multi-Agent Path Finding in Unmanned Aircraft System Traffic Management With Scheduling and Speed Variation, 2021, IEEE Intelligent Transportation Systems Magazine
  • Automated narrative planning model extension, 2021, Autonomous Agents and Multi-Agent Systems

Frequent coauthors contributing to collaborative research with Cavazza include:

  • Helmut Prendinger
  • Julie Porteous
  • Alan Lindsay
  • Caio De Castro Martins
  • Mohammad Majid al-Rifaie

Publication venues where Cavazza's work frequently appears include:

  • arXiv (Cornell University)
  • Brain
  • IEEE Transactions on Intelligent Transportation Systems
  • Sensors
  • IEEE Intelligent Transportation Systems Magazine

Marc Cavazza's primary fields of study are:

  • Computer Science
  • Neuroscience

They have conducted research in several subfields, such as:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Food Science

The main research topics covered by their publications include:

  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • Artificial Intelligence in Games
  • Natural Language Processing Techniques
  • Fermentation and Sensory Analysis
  • Stock Market Forecasting Methods
  • Air Traffic Management and Optimization

Best Publications

  • Character-based interactive storytelling

    M. Cavazza;F. Charles;S.J. Mead

  • Interacting with virtual characters in interactive storytelling

    Marc Cavazza;Fred Charles;Steven J. Mead

  • Applying planning to interactive storytelling: Narrative control using state constraints

    Julie Porteous;Marc Cavazza;Fred Charles

  • Madame bovary on the holodeck: immersive interactive storytelling

    Marc Cavazza;Jean-Luc Lugrin;David Pizzi;Fred Charles

  • Narratology for interactive storytelling: a critical introduction

    Marc Cavazza;David Pizzi

  • Planning formalisms and authoring in interactive storytelling

    Fred Charles;Miguel Lozano;Steven Mead;Alicia Fornes Bisquerra

  • Controlling Narrative Generation with Planning Trajectories: The Role of Constraints

    Julie Porteous;Marc Cavazza

  • Planning characters' behaviour in interactive storytelling

    Marc Cavazza;Fred Charles;Steven J. Mead

  • Emotional input for character-based interactive storytelling

    Marc Cavazza;David Pizzi;Fred Charles;Thurid Vogt

  • Characters in Search of an Author: AI-Based Virtual Storytelling

    Marc Cavazza;Fred Charles;Steven J. Mead

  • Dialogue generation in character-based interactive storytelling

    Marc Cavazza;Fred Charles

  • Motion control of virtual humans

    M. Cavazza;R. Earnshaw;N. Magnenat-Thalmann;D. Thalmann

  • Making sense of virtual environments: action representation, grounding and common sense

    Jean-Luc Lugrin;Marc Cavazza

  • Agents' Interaction in Virtual Storytelling

    Marc Cavazza;Fred Charles;Steven J. Mead

  • Interactive Storytelling with Literary Feelings

    David Pizzi;Fred Charles;Jean-Luc Lugrin;Marc Cavazza

  • Intelligent Virtual Environments - A State-of-the-art Report.

    Ruth Aylett;Marc Cavazza

  • Narrative generation through characters' point of view

    Julie Porteous;Marc Cavazza;Fred Charles

  • How was your day?: a companion ECA

    Marc Cavazza;Raul Santos de la Camara;Markku Turunen

  • Decentralized Multi-Agent Path Finding for UAV Traffic Management

    Florence Ho;Rúben Geraldes;Artur Gonçalves;Bastien Rigault

  • The CaveUT system: immersive entertainment based on a game engine

    Jeffrey Jacobson;Marc Le Renard;Jean-Luc Lugrin;Marc Cavazza

Frequent Co-Authors

Elisabeth André
Elisabeth André University of Augsburg
Talma Hendler
Talma Hendler Tel Aviv University
Helmut Prendinger
Helmut Prendinger National Institute of Informatics
Giulio Jacucci
Giulio Jacucci University of Helsinki
Pierre Zweigenbaum
Pierre Zweigenbaum University of Paris-Saclay
Catherine Pelachaud
Catherine Pelachaud Sorbonne University
Luciano Gamberini
Luciano Gamberini University of Padua
Stephen Pulman
Stephen Pulman University of Oxford
Mark Billinghurst
Mark Billinghurst University of South Australia
Sid Kouider
Sid Kouider École Normale Supérieure

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