World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6791
World Ranking
8870
National Ranking
3779

Gianluca Baldassarre 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 Gianluca Baldassarre 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Gianluca Baldassarre 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 Gianluca Baldassarre 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: 41 D-Index — 40th percentile

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

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

Overview

Gianluca Baldassarre is affiliated with the National Academies of Sciences, Engineering, and Medicine in the United States. Their research spans multiple disciplines, primarily focused on neuroscience and medicine, with significant contributions in cognitive neuroscience and artificial intelligence. Baldassarre's work integrates computational models and experimental studies to explore neural dynamics and brain function, cognitive processes, and behavior.

The scientist has published extensively in several venues, including:

  • Digestive and Liver Disease
  • arXiv (Cornell University)
  • IEEE Transactions on Cognitive and Developmental Systems
  • Gastroenterology
  • Scientific Reports

Their research interests are diverse, covering fields and subfields such as neuroscience, medicine, cognitive neuroscience, artificial intelligence, surgery, developmental and educational psychology, and social psychology. Baldassarre's main focus topics include:

  • Reinforcement learning in robotics
  • Neural dynamics and brain function
  • Autism spectrum disorder research
  • Helicobacter pylori-related gastroenterology studies
  • EEG and brain-computer interfaces
  • Neural and behavioral psychology studies
  • Memory and neural mechanisms

Frequent coauthors in Baldassarre's work include Francesco Di Mario, Pellegrino Crafa, Giovanni Granato, Alberto Barchi, and Andrea Mattera. This collaboration reflects interdisciplinary efforts spanning neuroscience, cognitive systems, and artificial intelligence.

Among notable recent publications are:

  • A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface (2021), published in the Journal of Neural Engineering
  • Special Issue "On Defining Artificial Intelligence"-Commentaries and Author's Response (2020), Journal of Artificial General Intelligence
  • A computational model of language functions in flexible goal-directed behaviour (2020), Scientific Reports
  • Computational Modeling of Catecholamines Dysfunction in Alzheimer's Disease at Pre-Plaque Stage (2020), Journal of Alzheimer's Disease
  • Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots (2020), Frontiers in Neurorobotics

Best Publications

  • Evolving Self-Organizing Behaviors for a Swarm-Bot

    Marco Dorigo;Vito Trianni;Erol Şahin;Roderich Groß

  • Intrinsically Motivated Learning in Natural and Artificial Systems

    Gianluca Baldassarre;Marco Mirolli

  • Appetitive Pavlovian-instrumental Transfer: A review.

    Emilio Cartoni;Bernard Balleine;Gianluca Baldassarre

  • Evolving mobile robots able to display collective behaviors

    Gianluca Baldassarre;Stefano Nolfi;Domenico Parisi

  • Theories and computational models of affordance and mirror systems: an integrative review.

    Serge Thill;Daniele Caligiore;Anna M. Borghi;Tom Ziemke

  • Action observation and motor imagery for rehabilitation in Parkinson's disease: A systematic review and an integrative hypothesis.

    Daniele Caligiore;Magda Mustile;Gianfranco Spalletta;Gianluca Baldassarre

  • Parkinson's disease as a system-level disorder

    Daniele Caligiore;Rick C Helmich;Mark Hallett;Ahmed A Moustafa

  • The SWARM-BOTS project

    Marco Dorigo;Elio Tuci;Roderich Groß;Vito Trianni

  • TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects.

    Daniele Caligiore;Anna M. Borghi;Domenico Parisi;Gianluca Baldassarre

  • Intrinsically Motivated Learning Systems: An Overview

    Gianluca Baldassarre;Marco Mirolli

  • Self-Organized Coordinated Motion in Groups of Physically Connected Robots

    G. Baldassarre;V. Trianni;M. Bonani;F. Mondada

  • Anticipatory Behavior in Adaptive Learning Systems

    Giovanni Pezzulo;Martin V. Butz;Olivier Sigaud;Gianluca Baldassarre

  • The embodied mind extended: using words as social tools.

    Anna M. Borghi;Anna M. Borghi;Claudia Scorolli;Daniele Caligiore;Gianluca Baldassarre

  • Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome

    Daniele Caligiore;Francesco Mannella;Michael A. Arbib;Gianluca Baldassarre

  • Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot

    M. Schembri;M. Mirolli;G. Baldassarre

  • GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning

    Vieri Giuliano Santucci;Gianluca Baldassarre;Marco Mirolli

  • The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia

    Daniele Caligiore;Michael A. Arbib;R. Chris Miall;Gianluca Baldassarre

  • A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours

    Gianluca Baldassarre

  • Intrinsic motivations and open-ended development in animals, humans, and robots: an overview.

    Gianluca Baldassarre;Tom Stafford;Marco Mirolli;Peter Redgrave

  • The three principles of action: a Pavlovian-instrumental transfer hypothesis

    Emilio Cartoni;Stefano Puglisi-Allegra;Gianluca Baldassarre

  • Distributed Coordination of Simulated Robots Based on Self-Organization

    Gianluca Baldassarre;Domenico Parisi;Stefano Nolfi

Frequent Co-Authors

Stefano Nolfi
Stefano Nolfi National Research Council (CNR)
Giovanni Pezzulo
Giovanni Pezzulo National Academies of Sciences, Engineering, and Medicine
Domenico Parisi
Domenico Parisi National Academies of Sciences, Engineering, and Medicine
Anna M. Borghi
Anna M. Borghi Sapienza University of Rome
Eugenio Guglielmelli
Eugenio Guglielmelli Università Campus Bio-Medico
Martin V. Butz
Martin V. Butz University of Tübingen
Angelo Cangelosi
Angelo Cangelosi University of Manchester
Andrew G. Barto
Andrew G. Barto University of Massachusetts Amherst
Loredana Zollo
Loredana Zollo Università Campus Bio-Medico
Stefano Puglisi-Allegra
Stefano Puglisi-Allegra Sapienza University of Rome

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