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
Computer Science D-index 40 Citations 8,513 86 World Ranking 4480 National Ranking 2230

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Software

Brendan Z. Allison mainly focuses on Brain–computer interface, Electroencephalography, Human–computer interaction, Speech recognition and Artificial intelligence. His work in the fields of Brain–computer interface, such as Motor imagery, overlaps with other areas such as Matrix. His study in the field of Event-related potential also crosses realms of Signal processing and Asynchronous communication.

The study incorporates disciplines such as Affect, Wheelchair, Taxonomy, Brain waves and Natural language in addition to Human–computer interaction. His Speech recognition research is multidisciplinary, relying on both Eeg patterns, Steady state and Hand orthosis. His biological study deals with issues like Pattern recognition, which deal with fields such as Data recording and Eeg recording.

His most cited work include:

  • The Hybrid BCI (499 citations)
  • Brain–computer interface systems: progress and prospects (294 citations)
  • Towards an independent brain–computer interface using steady state visual evoked potentials (271 citations)

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

Brendan Z. Allison focuses on Brain–computer interface, Human–computer interaction, Electroencephalography, Speech recognition and Motor imagery. With his scientific publications, his incorporates both Brain–computer interface and Task. His work on Usability as part of general Human–computer interaction study is frequently linked to Software, Signal processing and User group, bridging the gap between disciplines.

His research investigates the connection between Electroencephalography and topics such as Consciousness that intersect with problems in Wakefulness. Brendan Z. Allison has included themes like Hybrid approach, Event-related potential, Stimulus, Visual perception and Steady state in his Speech recognition study. His Motor imagery study combines topics from a wide range of disciplines, such as Disorders of consciousness and Simulation.

He most often published in these fields:

  • Brain–computer interface (88.72%)
  • Human–computer interaction (36.84%)
  • Electroencephalography (27.82%)

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

  • Brain–computer interface (88.72%)
  • Physical medicine and rehabilitation (15.04%)
  • Electroencephalography (27.82%)

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

His primary areas of investigation include Brain–computer interface, Physical medicine and rehabilitation, Electroencephalography, Motor imagery and Audiology. His Brain–computer interface study integrates concerns from other disciplines, such as Consciousness, Disorders of consciousness, Cognition, Human–computer interaction and Brain activity and meditation. The study incorporates disciplines such as Multimedia and Immersion in addition to Human–computer interaction.

His study in Physical medicine and rehabilitation is interdisciplinary in nature, drawing from both Rehabilitation, Post stroke rehabilitation and Motor rehabilitation. His work on Eeg data as part of general Electroencephalography research is often related to Correlation, thus linking different fields of science. His Motor imagery research incorporates themes from Cognitive psychology and Simulation.

Between 2016 and 2021, his most popular works were:

  • Complete locked-in and locked-in patients: Command following assessment and communication with vibro-tactile P300 and motor imagery brain-computer interface tools (48 citations)
  • Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement (39 citations)
  • Reaching and Grasping a Glass of Water by Locked-In ALS Patients through a BCI-Controlled Humanoid Robot. (30 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Cognition

Brendan Z. Allison focuses on Brain–computer interface, Electroencephalography, Motor imagery, Physical medicine and rehabilitation and Audiology. His Brain–computer interface study incorporates themes from Robotics, Brain activity and meditation and Cognition. His Cognition research includes themes of Wakefulness, Disorders of consciousness, Level of consciousness and Task.

His Eeg data study, which is part of a larger body of work in Electroencephalography, is frequently linked to In patient, bridging the gap between disciplines. His work on Proprioception as part of general Physical medicine and rehabilitation research is frequently linked to Functional electrical stimulation and Middle finger, thereby connecting diverse disciplines of science. His studies in Biofeedback integrate themes in fields like Humanoid robot and Artificial intelligence.

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

The Hybrid BCI

Gert Pfurtscheller;Brendan Z. Allison;Clemens Brunner;Gunther Bauernfeind.
Frontiers in Neuroscience (2010)

693 Citations

Brain–computer interface systems: progress and prospects

Brendan Z Allison;Elizabeth Winter Wolpaw;Jonathan R Wolpaw.
Expert Review of Medical Devices (2007)

453 Citations

Towards an independent brain–computer interface using steady state visual evoked potentials

Brendan Z. Allison;Dennis J. McFarland;Gerwin Schalk;Shi Dong Zheng.
Clinical Neurophysiology (2008)

429 Citations

BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?

Brendan Allison;Thorsten Luth;Diana Valbuena;Amir Teymourian.
international conference of the ieee engineering in medicine and biology society (2010)

367 Citations

Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction

Bernhard Graimann;Brendan Z. Allison;Gert Pfurtscheller.
(2013)

339 Citations

P300 brain computer interface: current challenges and emerging trends

Reza Fazel-Rezai;Brendan Z. Allison;Christoph Guger;Eric W. Sellers.
Frontiers in Neuroengineering (2012)

336 Citations

Toward a hybrid brain-computer interface based on imagined movement and visual attention.

Brendan Zachary Allison;Clemens Brunner;Vera Kaiser;Gernot Müller-Putz.
Journal of Neural Engineering (2010)

329 Citations

The effects of self-movement, observation, and imagination on /spl mu/ rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI)

J.A. Pineda;B.Z. Allison;A. Vankov.
international conference of the ieee engineering in medicine and biology society (2000)

296 Citations

Could Anyone Use a BCI

Brendan Zachary Allison;Christa Neuper;Christa Neuper.
Brain-Computer Interfaces (2010)

295 Citations

An SSVEP BCI to Control a Hand Orthosis for Persons With Tetraplegia

R Ortner;B Z Allison;G Korisek;H Gaggl.
international conference of the ieee engineering in medicine and biology society (2011)

292 Citations

Best Scientists Citing Brendan Z. Allison

Gernot R. Müller-Putz

Gernot R. Müller-Putz

Graz University of Technology

Publications: 87

Jing Jin

Jing Jin

East China University of Science and Technology

Publications: 68

Andrzej Cichocki

Andrzej Cichocki

Skolkovo Institute of Science and Technology

Publications: 64

Xingyu Wang

Xingyu Wang

East China University of Science and Technology

Publications: 61

Andrea Kübler

Andrea Kübler

University of Würzburg

Publications: 56

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 54

Yu Zhang

Yu Zhang

Lehigh University

Publications: 50

Christa Neuper

Christa Neuper

University of Graz

Publications: 45

Fabien Lotte

Fabien Lotte

French Institute for Research in Computer Science and Automation - INRIA

Publications: 45

Yijun Wang

Yijun Wang

Chinese Academy of Sciences

Publications: 41

Benjamin Blankertz

Benjamin Blankertz

Technical University of Berlin

Publications: 40

Reinhold Scherer

Reinhold Scherer

University of Essex

Publications: 36

José del R. Millán

José del R. Millán

The University of Texas at Austin

Publications: 33

Xiaorong Gao

Xiaorong Gao

Tsinghua University

Publications: 32

Tom Chau

Tom Chau

University of Toronto

Publications: 29

Michael Tangermann

Michael Tangermann

Radboud University Nijmegen

Publications: 28

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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