World's Best Scientists 2026 revealed!
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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

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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