World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
35
Citations
5762
World Ranking
9157
National Ranking
446

Fabrizio De Vico Fallani publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Fabrizio De Vico Fallani sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 134 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Fabrizio De Vico Fallani D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Fabrizio De Vico Fallani sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Fabrizio De Vico Fallani is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily focuses on the field of neuroscience, with a significant emphasis on cognitive neuroscience.

The scientist's work covers several main topics, such as:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Complex Network Analysis Techniques
  • Mental Health Research Topics
  • Heart Rate Variability and Autonomic Control
  • Advanced Neuroimaging Techniques and Applications

Fabrizio De Vico Fallani's subfields of study include cognitive neuroscience as the dominant area, along with statistical and nonlinear physics, cardiology and cardiovascular medicine, molecular biology, and experimental and cognitive psychology.

Their recent publications demonstrate an ongoing engagement with brain network research and brain-computer interface applications. Selected papers include:

  • Brainhack: Developing a culture of open, inclusive, community-driven neuroscience (2021, Neuron)
  • Colloquium: Multiscale modeling of brain network organization (2022, Reviews of Modern Physics)
  • Functional disconnection of associative cortical areas predicts performance during BCI training (2020, NeuroImage)
  • A machine learning approach to screen for preclinical Alzheimer's disease (2021, Neurobiology of Aging)
  • Phase/amplitude synchronization of brain signals during motor imagery BCI tasks (2021, IRIS Research product catalog, Sapienza University of Rome)

Fabrizio De Vico Fallani frequently collaborates with several researchers, including:

  • Marie-Constance Corsi
  • Mario Chávez
  • Diego Candia-Rivera
  • Danielle S. Bassett
  • Tiziana Cattai

The scientist has published extensively in a range of venues, with notable multiple publications in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • IRIS Research product catalog (Sapienza University of Rome)

Best Publications

  • Graph analysis of functional brain networks: practical issues in translational neuroscience

    Fabrizio De Vico Fallani;Jonas Richiardi;Mario Chavez;Sophie Achard;Sophie Achard

  • Comparison of different cortical connectivity estimators for high-resolution EEG recordings.

    Laura Astolfi;Febo Cincotti;Donatella Mattia;M. Grazia Marciani

  • Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements.

    Giovanni Vecchiato;Jlenia Toppi;Laura Astolfi;Fabrizio De Vico Fallani

  • Human Brain Distinctiveness Based on EEG Spectral Coherence Connectivity

    Daria La Rocca;Patrizio Campisi;Balazs Vegso;Peter Cserti

  • Changes in Brain Activity During the Observation of TV Commercials by Using EEG, GSR and HR Measurements

    Giovanni Vecchiato;Laura Astolfi;Fabrizio De Vico Fallani;Febo Cincotti

  • On the use of EEG or MEG brain imaging tools in neuromarketing research

    Giovanni Vecchiato;Laura Astolfi;Fabrizio De Vico Fallani;Jlenia Toppi

  • Defecting or Not Defecting: How to “Read” Human Behavior during Cooperative Games by EEG Measurements

    Fabrizio De Vico Fallani;Vincenzo Nicosia;Roberta Sinatra;Laura Astolfi

  • Neuroelectrical Hyperscanning Measures Simultaneous Brain Activity in Humans

    Laura Astolfi;Jlenia Toppi;Fabrizio De Vico Fallani;Giovanni Vecchiato

  • Resting state cortical EEG rhythms in Alzheimer's disease: toward EEG markers for clinical applications: a review

    Fabrizio Vecchio;Claudio Babiloni;Roberta Lizio;Fabrizio De Vico Fallani

  • EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease

    Sinead Gaubert;Federico Raimondo;Marion Houot;Marie-Constance Corsi

  • Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data

    L. Astolfi;F. Cincotti;D. Mattia;M.G. Marciani

  • Cortical functional connectivity networks in normal and spinal cord injured patients: Evaluation by graph analysis

    Fabrizio De Vico Fallani;Laura Astolfi;Febo Cincotti;Donatella Mattia

  • High-resolution EEG techniques for brain-computer interface applications.

    Febo Cincotti;Donatella Mattia;Fabio Aloise;Simona Bufalari

  • Hypermethods for EEG hyperscanning.

    Fabio Babiloni;Febo Cincotti;Donatella Mattia;Marco Mattiocco

  • Evaluation of the Brain Network Organization From EEG Signals: A Preliminary Evidence in Stroke Patient

    Fabrizio De Vico Fallani;Laura Astolfi;Febo Cincotti;Donatella Mattia

  • A topological criterion for filtering information in complex brain networks

    Fabrizio De Vico Fallani;Fabrizio De Vico Fallani;Vito Latora;Vito Latora;Mario Chavez

  • Functional and effective brain connectivity for discrimination between Alzheimer’s patients and healthy individuals: A study on resting state EEG rhythms

    Katarzyna J. Blinowska;Katarzyna J. Blinowska;Franciszek Rakowski;Franciszek Rakowski;Maciej Kaminski;Fabrizio De Vico Fallani;Fabrizio De Vico Fallani

  • Loss of brain inter-frequency hubs in Alzheimer's disease

    Jeremy Guillon;Yohan Attal;Olivier Colliot;Valentina La Corte

  • Multiscale topological properties of functional brain networks during motor imagery after stroke

    Fabrizio De Vico Fallani;Floriana Pichiorri;Giovanni Morone;Marco Molinari

  • Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain–Computer Interface

    Marie-Constance Corsi;Mario Chavez;Denis Schwartz;Laurent Hugueville

  • P3-219: EEG EVIDENCE OF COMPENSATORY MECHANISMS IN PRECLINICAL ALZHEIMER'S DISEASE

    Sinead Gaubert;Sinead Gaubert;Federico Raimondo;Marion Houot;Marie-Constance Corsi

Frequent Co-Authors

Fabio Babiloni
Fabio Babiloni Sapienza University of Rome
Donatella Mattia
Donatella Mattia Sapienza University of Rome
Laura Astolfi
Laura Astolfi Sapienza University of Rome
Febo Cincotti
Febo Cincotti Sapienza University of Rome
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Serenella Salinari
Serenella Salinari Sapienza University of Rome
Maria Grazia Marciani
Maria Grazia Marciani University of Rome Tor Vergata
Vito Latora
Vito Latora Queen Mary University of London
Nathalie George
Nathalie George Université Paris Cité
Shangkai Gao
Shangkai Gao Tsinghua University

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