H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 51 Citations 19,914 135 World Ranking 2665 National Ranking 1413
Neuroscience D-index 59 Citations 14,966 127 World Ranking 1476 National Ranking 715

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Electroencephalography

Gerwin Schalk mostly deals with Brain–computer interface, Electroencephalography, Speech recognition, Neuroscience and Artificial intelligence. His Brain–computer interface study incorporates themes from Control system, Physical medicine and rehabilitation, Human–computer interaction, Electrocorticography and Brain activity and meditation. He interconnects Gaze, Motor cortex, Control option, Sensorimotor cortex and Brain mapping in the investigation of issues within Electroencephalography.

His study in Speech recognition is interdisciplinary in nature, drawing from both Beta Rhythm and Neurocomputational speech processing. His Primary motor cortex, Sensorimotor rhythm and Cortical surface study in the realm of Neuroscience interacts with subjects such as Quality of life and Focus. His biological study spans a wide range of topics, including Cued speech, Motor theory of speech perception and Natural language processing.

His most cited work include:

  • BCI2000: a general-purpose brain-computer interface (BCI) system (1857 citations)
  • Brain-computer interface technology: a review of the first international meeting (1661 citations)
  • A brain-computer interface using electrocorticographic signals in humans. (952 citations)

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

Brain–computer interface, Neuroscience, Speech recognition, Artificial intelligence and Electrocorticography are his primary areas of study. His Brain–computer interface study is concerned with Electroencephalography in general. His Electroencephalography research is multidisciplinary, relying on both Signal and Surgery.

His Speech recognition research includes themes of Stimulus, Superior temporal gyrus and Imagined speech. His Artificial intelligence study combines topics from a wide range of disciplines, such as Natural language processing, Machine learning, Computer vision and Pattern recognition. The various areas that Gerwin Schalk examines in his Electrocorticography study include Event-related potential, Functional mapping, Functional magnetic resonance imaging, Cortex and Sensorimotor cortex.

He most often published in these fields:

  • Brain–computer interface (48.43%)
  • Neuroscience (58.30%)
  • Speech recognition (50.67%)

What were the highlights of his more recent work (between 2016-2021)?

  • Neuroscience (58.30%)
  • Artificial intelligence (47.09%)
  • Electrocorticography (40.81%)

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

His main research concerns Neuroscience, Artificial intelligence, Electrocorticography, Stimulus and Speech recognition. His work on Human brain, Functional mapping, Stimulation and Cortical surface as part of his general Neuroscience study is frequently connected to Language function, thereby bridging the divide between different branches of science. His study in the fields of Visualization under the domain of Artificial intelligence overlaps with other disciplines such as Toolbox.

His research in Electrocorticography intersects with topics in Neurophysiology, Orbitofrontal cortex and Event-related potential. His work carried out in the field of Speech recognition brings together such families of science as Imagined speech, Brain–computer interface, Superior temporal gyrus and Natural language processing. In his papers, Gerwin Schalk integrates diverse fields, such as Brain–computer interface and Home use.

Between 2016 and 2021, his most popular works were:

  • Contralesional Brain-Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors. (64 citations)
  • Facephenes and rainbows: Causal evidence for functional and anatomical specificity of face and color processing in the human brain (39 citations)
  • Optimal referencing for stereo-electroencephalographic (SEEG) recordings. (31 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Cognition

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Neuroscience, Stimulus and White matter. Gerwin Schalk mostly deals with Semantics in his studies of Artificial intelligence. His work in the fields of Neuroscience, such as Brain mapping, Orbitofrontal cortex and Event-related potential, intersects with other areas such as Economic decision making and Decision process.

His Brain mapping study combines topics in areas such as Eloquent cortex and Electric stimulation. The concepts of his Stimulus study are interwoven with issues in Visual perception, Temporal cortex and Neuroimaging. His White matter study incorporates themes from Signal, Entire brain, Stereoelectroencephalography and Sample.

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

BCI2000: a general-purpose brain-computer interface (BCI) system

G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer.
IEEE Transactions on Biomedical Engineering (2004)

2617 Citations

Brain-computer interface technology: a review of the first international meeting

J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland.
international conference of the ieee engineering in medicine and biology society (2000)

2381 Citations

A brain-computer interface using electrocorticographic signals in humans.

Eric C Leuthardt;Gerwin Schalk;Jonathan R Wolpaw;Jonathan R Wolpaw;Jeffrey G Ojemann.
Journal of Neural Engineering (2004)

1340 Citations

The BCI competition III: validating alternative approaches to actual BCI problems

B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006)

786 Citations

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan.
IEEE Transactions on Biomedical Engineering (2004)

783 Citations

Spectral changes in cortical surface potentials during motor movement.

Kai J. Miller;Eric C. Leuthardt;Gerwin Schalk;Rajesh P. N. Rao.
The Journal of Neuroscience (2007)

664 Citations

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan.
Neurology (2005)

618 Citations

Two-dimensional movement control using electrocorticographic signals in humans

G. Schalk;G. Schalk;G. Schalk;K. J. Miller;N. R. Anderson;J. A. Wilson.
Journal of Neural Engineering (2008)

538 Citations

Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.

G Schalk;J Kubánek;K J Miller;N R Anderson.
Journal of Neural Engineering (2007)

509 Citations

Review of the BCI Competition IV

Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer.
Frontiers in Neuroscience (2012)

505 Citations

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Best Scientists Citing Gerwin Schalk

Andrea Kübler

Andrea Kübler

University of Würzburg

Publications: 111

Niels Birbaumer

Niels Birbaumer

University of Tübingen

Publications: 99

Jonathan R. Wolpaw

Jonathan R. Wolpaw

New York State Department of Health

Publications: 96

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 76

Gernot R. Müller-Putz

Gernot R. Müller-Putz

Graz University of Technology

Publications: 73

Cuntai Guan

Cuntai Guan

Nanyang Technological University

Publications: 71

Benjamin Blankertz

Benjamin Blankertz

Technical University of Berlin

Publications: 67

Jeffrey G. Ojemann

Jeffrey G. Ojemann

University of Washington

Publications: 65

Andrzej Cichocki

Andrzej Cichocki

Skolkovo Institute of Science and Technology

Publications: 65

Robert T. Knight

Robert T. Knight

University of California, Berkeley

Publications: 63

Nathan E. Crone

Nathan E. Crone

Johns Hopkins University

Publications: 62

José del R. Millán

José del R. Millán

The University of Texas at Austin

Publications: 62

Febo Cincotti

Febo Cincotti

Sapienza University of Rome

Publications: 60

Tom Chau

Tom Chau

University of Toronto

Publications: 60

Donatella Mattia

Donatella Mattia

Sapienza University of Rome

Publications: 58

Kai J. Miller

Kai J. Miller

Mayo Clinic

Publications: 58

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