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D-Index & Metrics

Neuroscience

D-Index
64
Citations
11065
World Ranking
3328
National Ranking
138

Fabrizio Vecchio 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 Vecchio 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: 243 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Fabrizio Vecchio 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 Vecchio 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: 64 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Fabrizio Vecchio is affiliated with Sapienza University of Rome in Italy, contributing extensively to the fields of neuroscience and medicine. Their research spans across multiple subfields including cognitive neuroscience, neurology, psychiatry and mental health, radiology, nuclear medicine and imaging, and physiology. The scientist's work primarily focuses on understanding neural dynamics, brain function, and neurological disorders through various methodological approaches.

Their research topics prominently include:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Dementia and Cognitive Impairment Research
  • Transcranial Magnetic Stimulation Studies
  • Neural and Behavioral Psychology Studies
  • Alzheimer's disease research and treatments

Fabrizio Vecchio has frequently published in several scientific journals. Key venues featuring their work are:

  • Clinical Neurophysiology (21 publications)
  • GeroScience (12 publications)
  • Scientific Reports (3 publications)
  • Pflügers Archiv - European Journal of Physiology (3 publications)
  • Alzheimer's & Dementia (2 publications)

Some of the recent papers authored or co-authored by Vecchio include:

  • "Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts," 2020, Clinical Neurophysiology
  • "Human brain connectivity: Clinical applications for clinical neurophysiology," 2020, Clinical Neurophysiology
  • "Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis," 2022, Alzheimer's & Dementia
  • "Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation," 2020, Journal of Alzheimer's Disease
  • "Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy," 2022, GeroScience

Throughout their career, Vecchio has collaborated frequently with a core group of researchers, including:

  • Francesca Miraglia
  • Paolo Maria Rossini
  • Chiara Pappalettera
  • Maria Cotelli
  • Alessia Cacciotti

The scholar's work integrates advanced EEG biomarker development, machine learning techniques, and clinical neurophysiology to investigate neurological diseases such as Alzheimer's and Parkinson's. This multidisciplinary approach combines functional brain connectivity studies with novel computational methodologies aimed at early diagnosis and risk prediction.

Best Publications

  • Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans

    Calogero M. Oddo;Stanisa Raspopovic;Stanisa Raspopovic;Fiorenzo Artoni;Fiorenzo Artoni;Alberto Mazzoni

  • Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography rhythms.

    P.M. Rossini;C. Del Percio;P. Pasqualetti;E. Cassetta

  • An electroencephalographic fingerprint of human sleep.

    Luigi De Gennaro;Michele Ferrara;Michele Ferrara;Fabrizio Vecchio;Giuseppe Curcio

  • "Neural efficiency" of athletes' brain for upright standing: a high-resolution EEG study.

    Claudio Del Percio;Claudio Babiloni;Nicola Marzano;Marco Iacoboni

  • Fronto-parietal coupling of brain rhythms in mild cognitive impairment: a multicentric EEG study.

    Claudio Babiloni;Raffaele Ferri;Giuliano Binetti;Andrea Cassarino

  • Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts

    P.M. Rossini;R. Di Iorio;F. Vecchio;M. Anfossi

  • Hippocampal volume and cortical sources of EEG alpha rhythms in mild cognitive impairment and Alzheimer disease

    Claudio Babiloni;Giovanni B. Frisoni;Michela Pievani;Fabrizio Vecchio

  • Pre- and Poststimulus Alpha Rhythms Are Related to Conscious Visual Perception: A High-Resolution EEG Study

    Claudio Babiloni;Fabrizio Vecchio;Alessandro Bultrini;Gian Luca Romani

  • Connectome: Graph theory application in functional brain network architecture.

    Fabrizio Vecchio;Francesca Miraglia;Paolo Maria Rossini

  • 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

  • Human brain networks in cognitive decline: a graph theoretical analysis of cortical connectivity from EEG data

    Fabrizio Vecchio;Francesca Miraglia;Camillo Marra;Davide Quaranta

  • Resting state cortical electroencephalographic rhythms are related to gray matter volume in subjects with mild cognitive impairment and Alzheimer's disease

    Claudio Babiloni;Filippo Carducci;Roberta Lizio;Fabrizio Vecchio

  • Disease Tracking Markers for Alzheimer's Disease at the Prodromal (MCI) Stage

    Valeria Drago;Claudio Babiloni;David Bartrés-Faz;Anna Caroli

  • EEG characteristics in "eyes-open" versus "eyes-closed" conditions: Small-world network architecture in healthy aging and age-related brain degeneration

    Francesca Miraglia;Fabrizio Vecchio;Placido Bramanti;Paolo Maria Rossini

  • Alpha, beta and gamma electrocorticographic rhythms in somatosensory, motor, premotor and prefrontal cortical areas differ in movement execution and observation in humans.

    Claudio Babiloni;Claudio Del Percio;Fabrizio Vecchio;Fabio Sebastiano

  • Brains "in concert": frontal oscillatory alpha rhythms and empathy in professional musicians.

    Claudio Babiloni;Paola Buffo;Fabrizio Vecchio;Nicola Marzano

  • Directionality of EEG synchronization in Alzheimer's disease subjects.

    Claudio Babiloni;Raffaele Ferri;Giuliano Binetti;Fabrizio Vecchio

  • Methods for analysis of brain connectivity: An IFCN-sponsored review.

    P.M. Rossini;R. Di Iorio;M. Bentivoglio;G. Bertini

  • Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint.

    Claudio Babiloni;Pieter Jelle Visser;Giovanni Frisoni;Peter Paul De Deyn

  • Development and assessment of methods for detecting dementia using the human electroencephalogram

    G. Henderson;E. Ifeachor;N. Hudson;C. Goh

  • Predictive Role of Thymidylate Synthase, Dihydropyrimidine Dehydrogenase and Thymidine Phosphorylase Expression in Colorectal Cancer Patients Receiving Adjuvant 5-Fluorouracil

    M. Ciaparrone;M. Quirino;G. Schinzari;G. Zannoni

Frequent Co-Authors

Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Claudio Babiloni
Claudio Babiloni Sapienza University of Rome
Francesca Miraglia
Francesca Miraglia Catholic University of the Sacred Heart
Giovanni B. Frisoni
Giovanni B. Frisoni University of Geneva
Roberta Lizio
Roberta Lizio Sapienza University of Rome
Fabrizio Eusebi
Fabrizio Eusebi Sapienza University of Rome
Claudio Del Percio
Claudio Del Percio Sapienza University of Rome
Carlo Miniussi
Carlo Miniussi University of Trento
Giuseppe Curcio
Giuseppe Curcio University of L'Aquila
Andrea Soricelli
Andrea Soricelli Parthenope University of Naples

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