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
Neuroscience D-index 53 Citations 9,590 178 World Ranking 2026 National Ranking 85

Overview

What is she best known for?

The fields of study she is best known for:

  • Internal medicine
  • Artificial intelligence
  • Neuroscience

Donatella Mattia mostly deals with Electroencephalography, Brain–computer interface, Neuroscience, Human–computer interaction and Artificial intelligence. Her research on Electroencephalography focuses in particular on Brain activity and meditation. Donatella Mattia interconnects Neuroplasticity, Motor recovery and Physical medicine and rehabilitation in the investigation of issues within Brain–computer interface.

Her Neuroscience study frequently links to related topics such as GABAA receptor. Her work carried out in the field of Human–computer interaction brings together such families of science as Field, Software, The Internet and State. Coherence, Multivariate statistics, Autoregressive model and Image resolution is closely connected to Pattern recognition in her research, which is encompassed under the umbrella topic of Artificial intelligence.

Her most cited work include:

  • Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (614 citations)
  • Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. (537 citations)
  • Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. (339 citations)

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

Her primary areas of investigation include Electroencephalography, Brain–computer interface, Artificial intelligence, Neuroscience and Neurophysiology. The concepts of her Electroencephalography study are interwoven with issues in Cognition, Brain mapping and Audiology. Her Brain–computer interface study combines topics from a wide range of disciplines, such as Speech recognition, Physical medicine and rehabilitation and Human–computer interaction.

Donatella Mattia has included themes like Software and Simulation in her Human–computer interaction study. Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Autoregressive model, Machine learning, Computer vision and Pattern recognition. Her Pattern recognition research incorporates elements of Estimator and Coherence.

She most often published in these fields:

  • Electroencephalography (40.95%)
  • Brain–computer interface (28.13%)
  • Artificial intelligence (21.17%)

What were the highlights of her more recent work (between 2014-2020)?

  • Brain–computer interface (28.13%)
  • Electroencephalography (40.95%)
  • Physical medicine and rehabilitation (9.19%)

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

Donatella Mattia mainly focuses on Brain–computer interface, Electroencephalography, Physical medicine and rehabilitation, Artificial intelligence and Rehabilitation. Her Brain–computer interface research includes elements of Speech recognition and User-centered design, Usability, Human–computer interaction. Neuroscience covers Donatella Mattia research in Electroencephalography.

Her work deals with themes such as Stroke, Neurorehabilitation, Neurofeedback, Physical therapy and Motor imagery, which intersect with Physical medicine and rehabilitation. The study incorporates disciplines such as Machine learning, Coherence and Pattern recognition in addition to Artificial intelligence. Her study in Rehabilitation is interdisciplinary in nature, drawing from both Ankle, Biofeedback, Selection and Spasticity.

Between 2014 and 2020, her most popular works were:

  • Brain–computer interface boosts motor imagery practice during stroke recovery (260 citations)
  • BNCI Horizon 2020: Towards a Roadmap for the BCI Community (123 citations)
  • Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond (100 citations)

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

  • Internal medicine
  • Artificial intelligence
  • Neuroscience

Her primary scientific interests are in Brain–computer interface, Electroencephalography, Physical medicine and rehabilitation, Cognition and Interface. Donatella Mattia has researched Brain–computer interface in several fields, including State and Human–computer interaction. The study incorporates disciplines such as Neurophysiology, Stroke, Cerebellar stroke, Neural correlates of consciousness and Topology in addition to Electroencephalography.

Her studies in Physical medicine and rehabilitation integrate themes in fields like Rehabilitation, Physical therapy and User-centered design. Her Physical therapy study incorporates themes from Workload, Motor imagery and Usability. In her study, which falls under the umbrella issue of Cognition, Event-related potential, Audiology and Oddball paradigm is strongly linked to Minimally conscious state.

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

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.
Neuroscience & Biobehavioral Reviews (2014)

844 Citations

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

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

Thromboembolic Events in Beta Thalassemia Major: An Italian Multicenter Study

C. Borgna Pignatti;V. Carnelli;V. Caruso;F. Dore.
Acta Haematologica (1998)

254 Citations

Using brain–computer interfaces to induce neural plasticity and restore function

Moritz Grosse-Wentrup;Donatella Mattia;Karim Oweiss.
Journal of Neural Engineering (2011)

204 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

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

Giovanni Vecchiato;Jlenia Toppi;Laura Astolfi;Fabrizio De Vico Fallani.
Medical & Biological Engineering & Computing (2011)

203 Citations

Best Scientists Citing Donatella Mattia

Fabio Babiloni

Fabio Babiloni

Sapienza University of Rome

Publications: 141

Gernot R. Müller-Putz

Gernot R. Müller-Putz

Graz University of Technology

Publications: 94

Andrea Kübler

Andrea Kübler

University of Würzburg

Publications: 80

Bin He

Bin He

Tongji University

Publications: 78

José del R. Millán

José del R. Millán

The University of Texas at Austin

Publications: 66

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 50

Laura Astolfi

Laura Astolfi

Sapienza University of Rome

Publications: 47

Fabien Lotte

Fabien Lotte

French Institute for Research in Computer Science and Automation - INRIA

Publications: 45

Ricardo Chavarriaga

Ricardo Chavarriaga

École Polytechnique Fédérale de Lausanne

Publications: 43

Brendan Z. Allison

Brendan Z. Allison

University of California, San Diego

Publications: 37

Nitish V. Thakor

Nitish V. Thakor

National University of Singapore

Publications: 36

Christa Neuper

Christa Neuper

University of Graz

Publications: 35

Andrzej Cichocki

Andrzej Cichocki

Skolkovo Institute of Science and Technology

Publications: 33

Dario Farina

Dario Farina

Imperial College London

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Niels Birbaumer

Niels Birbaumer

University of Tübingen

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Robert Leeb

Robert Leeb

MindMaze

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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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