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Computer Science
Italy
2025

D-Index & Metrics

Neuroscience

D-Index
90
Citations
23739
World Ranking
1126
National Ranking
35

Computer Science

D-Index
77
Citations
19051
World Ranking
1300
National Ranking
16

Fabio Babiloni 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 Fabio Babiloni 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: 504 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Fabio Babiloni 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 Fabio Babiloni 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: 90 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Fabio Babiloni is affiliated with the Sapienza University of Rome in Italy and has a significant body of research primarily focused on neuroscience and psychology. Their work spans various subfields including cognitive neuroscience, social psychology, experimental and cognitive psychology, biomedical engineering, and cardiology and cardiovascular medicine.

The main topics in their research include:

  • EEG and Brain-Computer Interfaces
  • Human-Automation Interaction and Safety
  • Sleep and Work-Related Fatigue
  • Neural and Behavioral Psychology Studies
  • Hearing Loss and Rehabilitation
  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control

Fabio Babiloni has published extensively in various academic venues. The most frequent publication venues are:

  • Brain Sciences (21 publications)
  • Zenodo (CERN European Organization for Nuclear Research) (7 publications)
  • Sensors (6 publications)
  • Applied Sciences (6 publications)
  • Preprints.org (3 publications)

Some of their recent notable papers include:

  • "A Review on Mental Stress Assessment Methods Using EEG Signals," 2021, Sensors
  • "The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence," 2021, Scientific Reports
  • "A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory," 2022, Applied Sciences
  • "Investigating the negative bias towards artificial intelligence: Effects of prior assignment of AI-authorship on the aesthetic appreciation of abstract paintings," 2022, Computers in Human Behavior
  • "An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction," 2021, Sensors

The scientist frequently collaborates with several researchers, including:

  • Gianluca Di Flumeri
  • Gianluca Borghini
  • Pietro Aricò
  • Andrea Giorgi
  • Alessia Vozzi

Fabio Babiloni has also contributed to academic books, such as the publication with Springer International Publishing titled Innovation in Physical Activity and Sport in 2021.

Best Publications

  • Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness.

    Gianluca Borghini;Laura Astolfi;Giovanni Vecchiato;Donatella Mattia

  • Social neuroscience and hyperscanning techniques: past, present and future.

    Fabio Babiloni;Laura Astolfi

  • Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function.

    Fabio Babiloni;Febo Cincotti;Claudio Babiloni;Filippo Carducci

  • Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study

    Claudio Babiloni;Filippo Carducci;Febo Cincotti;Paolo M. Rossini

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

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

  • Non-invasive brain-computer interface system: towards its application as assistive technology

    Febo Cincotti;Donatella Mattia;Fabio Aloise;Simona Bufalari

  • Prefontal cortex in long-term memory: an "interference" approach using magnetic stimulation

    Simone Rossi;Stefano F. Cappa;Claudio Babiloni;Patrizio Pasqualetti

  • Human cortical electroencephalography (EEG) rhythms during the observation of simple aimless movements: a high-resolution EEG study.

    Claudio Babiloni;Fabio Babiloni;Filippo Carducci;Febo Cincotti

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

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

  • Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials.

    D V Moretti;F Babiloni;F Carducci;F Cincotti

  • Spline Laplacian estimate of EEG potentials over a realistic magnetic resonance-constructed scalp surface model

    F. Babiloni;C. Babiloni;F. Carducci;L. Fattorini

  • 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

  • eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity.

    Bin He;Yakang Dai;Laura Astolfi;Fabio Babiloni

  • A local neural classifier for the recognition of EEG patterns associated to mental tasks

    J. del R Millan;J. Mourino;M. Franze;F. Cincotti

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

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

  • Influence of the supplementary motor area on primary motor cortex excitability during movements triggered by neutral or emotionally unpleasant visual cues

    M. Oliveri;C. Babiloni;M. M. Filippi;C. Caltagirone

  • Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment.

    Pietro Aricò;Gianluca Borghini;Gianluca Di Flumeri;Alfredo Colosimo

  • Abnormalities of short-latency somatosensory evoked potentials in parkinsonian patients

    P.M. Rossini;F. Babiloni;G. Bernardi;L. Cecchi

  • A Review on Mental Stress Assessment Methods Using EEG Signals.

    Rateb Katmah;Fares Al-Shargie;Usman Tariq;Fabio Babiloni

  • Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators

    L. Astolfi;F. Cincotti;D. Mattia;F. De Vico Fallani

Frequent Co-Authors

Febo Cincotti
Febo Cincotti Sapienza University of Rome
Laura Astolfi
Laura Astolfi Sapienza University of Rome
Serenella Salinari
Serenella Salinari Sapienza University of Rome
Claudio Babiloni
Claudio Babiloni Sapienza University of Rome
Filippo Carducci
Filippo Carducci Sapienza University of Rome
Maria Grazia Marciani
Maria Grazia Marciani University of Rome Tor Vergata
Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Fabrizio De Vico Fallani
Fabrizio De Vico Fallani French Institute for Research in Computer Science and Automation - INRIA
Bin He
Bin He Carnegie Mellon University
Claudio Del Percio
Claudio Del Percio Sapienza University of Rome

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