World's Best Scientists 2026 revealed!
Camillo Porcaro

Camillo Porcaro

D-Index & Metrics

Neuroscience

D-Index
37
Citations
3875
World Ranking
8881
National Ranking
492

Camillo Porcaro 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 Camillo Porcaro 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: 146 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Camillo Porcaro 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 Camillo Porcaro 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: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Camillo Porcaro is affiliated with the University of Padua in Italy. Their research spans primarily the field of Neuroscience, with a particular focus on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Neurology, and Electrical and Electronic Engineering.

The scientist's work covers several main topics, including:

  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Advanced Memory and Neural Computing
  • Muscle activation and electromyography studies
  • Fractal and DNA sequence analysis

Frequent collaborators of Camillo Porcaro include Franca Tecchio, Sabrina Iarlori, Francesco Ferracuti, Andrea Monteriù, and Dante Mantini.

The scientist has published research in several venues, with notable frequency in the following journals:

  • Clinical Neurophysiology
  • Brain Sciences
  • International Journal of Neural Systems
  • Frontiers in Neuroscience
  • Journal of Neural Engineering

Selected recent papers by Camillo Porcaro include:

  • "Diagnostic Developments in Differentiating Unresponsive Wakefulness Syndrome and the Minimally Conscious State," 2022, Frontiers in Neurology
  • "Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study," 2022, International Journal of Neural Systems
  • "A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface," 2021, Journal of Neural Engineering
  • "Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review," 2021, Brain Sciences
  • "Frequency-dependent functional connectivity in resting state networks," 2020, Human Brain Mapping

Best Publications

  • Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals.

    Giulia Barbati;Camillo Porcaro;Filippo Zappasodi;Paolo Maria Rossini

  • Detecting large-scale networks in the human brain using high-density electroencephalography.

    Quanying Liu;Seyedehrezvan Farahibozorg;Camillo Porcaro;Nicole Wenderoth

  • Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer's Disease.

    Fenne Margreeth Smits;Camillo Porcaro;Camillo Porcaro;Carlo Cottone;Andrea Cancelli

  • Spontaneous EEG alpha oscillation interacts with positive and negative BOLD responses in the visual–auditory cortices and default-mode network

    Stephen D. Mayhew;Dirk Ostwald;Camillo Porcaro;Andrew P. Bagshaw

  • Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review.

    Nibras Abo Alzahab;Luca Apollonio;Angelo Di Iorio;Muaaz Alshalak

  • Removing speech artifacts from electroencephalographic recordings during overt picture naming

    Camillo Porcaro;Camillo Porcaro;Maria Teresa Medaglia;Andrea Krott

  • An information theoretic approach to EEG-fMRI integration of visually evoked responses.

    Dirk Ostwald;Camillo Porcaro;Andrew P. Bagshaw

  • Cortical short-term fatigue effects assessed via rhythmic brain–muscle coherence

    Franca Tecchio;Camillo Porcaro;Filippo Zappasodi;Alessandra Pesenti

  • Intrinsic variability in the human response to pain is assembled from multiple, dynamic brain processes.

    Stephen D. Mayhew;Nicholas Hylands-White;Camillo Porcaro;Stuart W.G. Derbyshire

  • High-gamma band activity of primary hand cortical areas: a sensorimotor feedback efficiency index.

    Franca Tecchio;Filippo Zappasodi;Camillo Porcaro;Giulia Barbati

  • Multimodal Functional Network Connectivity: An EEG-fMRI Fusion in Network Space

    Xu Lei;Dirk Ostwald;Dirk Ostwald;Jiehui Hu;Chuan Qiu

  • Frequency-dependent functional connectivity in resting state networks.

    Jessica Samogin;Marco Marino;Camillo Porcaro;Nicole Wenderoth

  • Diagnostic Developments in Differentiating Unresponsive Wakefulness Syndrome and the Minimally Conscious State

    Unknown

  • Choice of multivariate autoregressive model order affecting real network functional connectivity estimate.

    Camillo Porcaro;Camillo Porcaro;Filippo Zappasodi;Paolo Maria Rossini;Franca Tecchio

  • Personalized, bilateral whole-body somatosensory cortex stimulation to relieve fatigue in multiple sclerosis.

    Andrea Cancelli;Carlo Cottone;Alessandro Giordani;Simone Migliore

  • Functional source separation from magnetoencephalographic signals

    Giulia Barbati;Roberto Sigismondi;Filippo Zappasodi;Camillo Porcaro

  • Hand somatosensory subcortical and cortical sources assessed by functional source separation: An EEG study

    Camillo Porcaro;Gianluca Coppola;Giorgio Di Lorenzo;Filippo Zappasodi

  • Neuronal dynamics enable the functional differentiation of resting state networks in the human brain

    Marcos Marino;Marcos Marino;Quanying Liu;Quanying Liu;Quanying Liu;Jessica Samogin;Franca Tecchio

  • Fetal auditory responses to external sounds and mother's heart beat: Detection improved by Independent Component Analysis

    Camillo Porcaro;Filippo Zappasodi;Giulia Barbati;Carlo Salustri

  • Functional source separation and hand cortical representation for a brain-computer interface feature extraction.

    Franca Tecchio;Camillo Porcaro;Giulia Barbati;Filippo Zappasodi

  • Hemodynamic Correlates of Electrophysiological Activity in the Default Mode Network

    Marco Marino;Giorgio Arcara;Camillo Porcaro;Dante Mantini

  • P3b amplitude as a signature of cognitive decline in the older population: An EEG study enhanced by Functional Source Separation.

    Camillo Porcaro;Joshua Henk Balsters;Dante Mantini;Ian H Robertson

  • Brain Plasticity Effects of Neuromodulation Against Multiple Sclerosis Fatigue

    F. Tecchio;A. Cancelli;C. Cottone;R. Ferrucci

  • Hand sensory–motor cortical network assessed by functional source separation

    Camillo Porcaro;Giulia Barbati;Filippo Zappasodi;Paolo M. Rossini

Frequent Co-Authors

Franca Tecchio
Franca Tecchio National Research Council (CNR)
Filippo Zappasodi
Filippo Zappasodi University of Chieti-Pescara
Paolo Maria Rossini
Paolo Maria Rossini Catholic University of the Sacred Heart
Andrew P. Bagshaw
Andrew P. Bagshaw University of Birmingham
Stefano Seri
Stefano Seri Aston University
Gianluca Coppola
Gianluca Coppola Sapienza University of Rome
Francesco Pierelli
Francesco Pierelli Sapienza University of Rome
Dante Mantini
Dante Mantini KU Leuven
Emanuele Cassetta
Emanuele Cassetta Fatebenefratelli Hospital
Mario Tombini
Mario Tombini Università Campus Bio-Medico

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Neuroscience in the USA can open doors to multiple career options, both in research and applied fields. If you are interested in similar or complementary studies, consider other fun majors in college that pay well. Disciplines such as biology, computer science, or engineering often intersect with neuroscience and can expand your career prospects while offering competitive salaries.

For those mindful of tuition costs, numerous cheap online colleges offer accredited degrees in health, science, and psychology. Many of these colleges accept FAFSA, making higher education accessible and more affordable.

Not ready for a full degree? You might consider online certification programs in related subjects such as data analysis or public health. Certifications can boost your resume quickly and are often flexible with your schedule.

Some students may also benefit from reviewing easiest college majors that align with their interests and learning preferences. This approach can help you build foundational skills before transitioning to more specialized tracks like neuroscience.

Best Scientists Citing Camillo Porcaro

Trending Scientists

Recently Published Articles