D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 49 Citations 8,575 164 World Ranking 1560 National Ranking 35
Neuroscience D-index 61 Citations 10,724 190 World Ranking 1350 National Ranking 48

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Electroencephalography

Febo Cincotti mainly investigates Electroencephalography, Artificial intelligence, Brain–computer interface, Neuroscience and Pattern recognition. His Electroencephalography research is mostly focused on the topic Brain activity and meditation. Febo Cincotti combines subjects such as Machine learning, Coherence and Computer vision with his study of Artificial intelligence.

His studies deal with areas such as Software, Motor recovery, Physical medicine and rehabilitation and Human–computer interaction as well as Brain–computer interface. His work deals with themes such as Estimator, Multivariate statistics, Communication and Autoregressive model, which intersect with Pattern recognition. His Speech recognition research includes themes of Classifier and Coherence.

His most cited work include:

  • Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (614 citations)
  • Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. (339 citations)
  • Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study (300 citations)

What are the main themes of his work throughout his whole career to date?

Febo Cincotti mostly deals with Electroencephalography, Brain–computer interface, Artificial intelligence, Neuroscience and Pattern recognition. His Electroencephalography research incorporates themes from Neurophysiology, Cognition and Brain mapping. His work carried out in the field of Brain–computer interface brings together such families of science as Speech recognition, Physical medicine and rehabilitation and Human–computer interaction.

He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Estimator and, in certain cases, Coherence, as a part of the same area of interest. His research in the fields of Cortex, Stimulus, Neuroimaging and Spinal cord overlaps with other disciplines such as Healthy subjects. The concepts of his Pattern recognition study are interwoven with issues in Multivariate statistics and Communication.

He most often published in these fields:

  • Electroencephalography (54.28%)
  • Brain–computer interface (33.04%)
  • Artificial intelligence (31.86%)

What were the highlights of his more recent work (between 2013-2021)?

  • Brain–computer interface (33.04%)
  • Physical medicine and rehabilitation (10.62%)
  • Rehabilitation (7.08%)

In recent papers he was focusing on the following fields of study:

Febo Cincotti spends much of his time researching Brain–computer interface, Physical medicine and rehabilitation, Rehabilitation, Electroencephalography and Artificial intelligence. His biological study spans a wide range of topics, including Speech recognition, Usability and Audiology. His Physical medicine and rehabilitation study incorporates themes from Motor rehabilitation, Motor imagery, Neurorehabilitation and User-centered design.

His studies in Rehabilitation integrate themes in fields like Ankle, Biofeedback, Electromyography and Selection. His Electroencephalography study improves the overall literature in Neuroscience. Febo Cincotti has included themes like Estimator, Machine learning, Community structure, Brain mapping and Pattern recognition in his Artificial intelligence study.

Between 2013 and 2021, his most popular works were:

  • Brain–computer interface boosts motor imagery practice during stroke recovery (260 citations)
  • Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond (100 citations)
  • Proof of principle of a brain-computer interface approach to support poststroke arm rehabilitation in hospitalized patients: design, acceptability, and usability. (61 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Neuroscience
  • Operating system

Febo Cincotti mainly focuses on Brain–computer interface, Physical medicine and rehabilitation, Electroencephalography, Rehabilitation and Physical therapy. The study incorporates disciplines such as Modality, Human–computer interaction, Artificial intelligence and Jitter in addition to Brain–computer interface. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Training period, Eeg data, Sensorimotor rhythm, Mental image and Audiology.

In his research on the topic of Physical medicine and rehabilitation, Occupational therapy and Input device is strongly related with User-centered design. Electroencephalography is a subfield of Neuroscience that Febo Cincotti investigates. His work carried out in the field of Physical therapy brings together such families of science as Workload, Motor imagery and Usability.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges

José del R. Millán;Rüdiger Rupp;Gernot Müller-Putz;Rod Murray-Smith.
Frontiers in Neuroscience (2010)

774 Citations

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.
NeuroImage (2005)

443 Citations

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

Claudio Babiloni;Filippo Carducci;Febo Cincotti;Paolo M. Rossini.
NeuroImage (1999)

383 Citations

Brain–computer interface boosts motor imagery practice during stroke recovery

Floriana Pichiorri;Giovanni Morone;Manuela Petti;Jlenia Toppi.
Annals of Neurology (2015)

366 Citations

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

Febo Cincotti;Donatella Mattia;Fabio Aloise;Simona Bufalari.
Brain Research Bulletin (2008)

352 Citations

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

Laura Astolfi;Febo Cincotti;Donatella Mattia;M. Grazia Marciani.
Human Brain Mapping (2007)

351 Citations

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.
International Journal of Psychophysiology (2003)

259 Citations

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.
NeuroImage (2002)

245 Citations

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

J. del R Millan;J. Mourino;M. Franze;F. Cincotti.
IEEE Transactions on Neural Networks (2002)

239 Citations

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.
Brain Topography (2010)

203 Citations

Best Scientists Citing Febo Cincotti

Claudio Babiloni

Claudio Babiloni

Sapienza University of Rome

Publications: 157

Fabio Babiloni

Fabio Babiloni

Sapienza University of Rome

Publications: 128

Paolo Maria Rossini

Paolo Maria Rossini

Catholic University of the Sacred Heart

Publications: 102

Bin He

Bin He

Tongji University

Publications: 100

Gernot R. Müller-Putz

Gernot R. Müller-Putz

Graz University of Technology

Publications: 89

José del R. Millán

José del R. Millán

The University of Texas at Austin

Publications: 86

Andrea Kübler

Andrea Kübler

University of Würzburg

Publications: 84

Claudio Del Percio

Claudio Del Percio

Sapienza University of Rome

Publications: 69

Fabrizio Vecchio

Fabrizio Vecchio

Sapienza University of Rome

Publications: 64

Giovanni B. Frisoni

Giovanni B. Frisoni

University of Geneva

Publications: 64

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 63

Laura Astolfi

Laura Astolfi

Sapienza University of Rome

Publications: 53

Raffaele Ferri

Raffaele Ferri

I.R.C.C.S. Oasi Maria SS

Publications: 48

Andrea Soricelli

Andrea Soricelli

University of Naples Federico II

Publications: 46

Ricardo Chavarriaga

Ricardo Chavarriaga

École Polytechnique Fédérale de Lausanne

Publications: 46

Fabien Lotte

Fabien Lotte

French Institute for Research in Computer Science and Automation - INRIA

Publications: 45

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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