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 Jonathan R. Wolpaw sits on this spectrum.
This scientist: 299 publications — 82nd percentile
82% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 887 publications or more.
The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Jonathan R. Wolpaw sits on this spectrum.
This scientist: 102 D-Index — 93rd percentile
93% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 163 D-Index or more.
Jonathan R. Wolpaw is affiliated with the University at Albany, State University of New York in the United States. Their research spans neuroscience and medicine, with significant contributions in several subfields such as cognitive neuroscience, neurology, biomedical engineering, cellular and molecular neuroscience, and pathology and forensic medicine.
The main topics covered in Jonathan R. Wolpaw's work include EEG and brain-computer interfaces, transcranial magnetic stimulation studies, muscle activation and electromyography studies, neuroscience and neural engineering, neural dynamics and brain function, advanced memory and neural computing, and motor control and adaptation.
Key recent papers authored or coauthored by Jonathan R. Wolpaw include:
Frequent coauthors collaborating with Jonathan R. Wolpaw include:
Jonathan R. Wolpaw has published extensively in the following venues:
Their research addresses complex topics within EEG and brain-computer interfaces, focusing on principles and clinical applications. This includes work on adaptive behavior substrates in the central nervous system and the development of neurotechnologies aimed at medical and ethical challenges related to neurodegenerative diseases.
Jonathan R. Wolpaw's interdisciplinary approach integrates muscle activation and electromyography with neural engineering techniques and cognitive neuroscience insights to explore neural dynamics and motor control mechanisms. This work contributes to understanding how the central nervous system adapts and modulates behavior through neurotechnology and neurophysiological methods.
Jonathan R Wolpaw;Jonathan R Wolpaw;Niels Birbaumer;Niels Birbaumer;Dennis J McFarland;Gert Pfurtscheller
G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer
J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland
Jonathan R. Wolpaw;Dennis J. McFarland
Eric C Leuthardt;Gerwin Schalk;Jonathan R Wolpaw;Jonathan R Wolpaw;Jeffrey G Ojemann
Jonathan R. Wolpaw;Dennis J. McFarland;Gregory W. Neat;Catherine A. Forneris
Janis J Daly;Jonathan R Wolpaw
Dennis J. McFarland;Lynn M. McCane;Stephen V. David;Jonathan R. Wolpaw
B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk
Dennis J. McFarland;Laurie A. Miner;Theresa M. Vaughan;Jonathan R. Wolpaw
Jonathan R. Wolpaw;Elizabeth Winter Wolpaw
Dean J Krusienski;Eric W Sellers;François Cabestaing;Sabri Bayoudh
B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan
D.J. Krusienski;E.W. Sellers;D.J. McFarland;T.M. Vaughan
Jerry J. Shih;Dean J. Krusienski;Johnathan R. Wolpaw
F. Nijboer;E.W. Sellers;J. Mellinger;M.A. Jordan
I.I Goncharova;D.J McFarland;T.M Vaughan;J.R Wolpaw
Andrea Kübler;Boris Kotchoubey;Jochen Kaiser;Jonathan R. Wolpaw
Jonathan Wolpaw;Elizabeth Winter Wolpaw
J.R. Wolpaw;D.J. McFarland;T.M. Vaughan
Dennis J. McFarland;Jonathan R. Wolpaw
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