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Jonathan R. Wolpaw
ResearcherPublications, citations & collaboration network
Jonathan R. Wolpaw is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 332 works, 48,467 citations, an h-index of 87 and an i10-index of 239.
332
Works
48,467
Citations
87
h-index
239
i10-index
How has Jonathan R. Wolpaw's publication output changed over time?
ScholarIQpublication output · 1991–2008
Output grew0% over the shown period — from 1 works in 1991 to 1 in 2008.
1
1
1
1
4
1
2
1
19911997200020022004200520062008
What are the most-cited papers on Jonathan R. Wolpaw?
ScholarIQmost cited works
Brain–computer interfaces for communication and control
Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, Gert Pfurtscheller, Theresa M. Vaughan
Clinical Neurophysiology. 20027,899 Citations
BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
Gerwin Schalk, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, Jonathan R. Wolpaw
IEEE Transactions on Biomedical Engineering. 20043,039 Citations
Brain-computer interface technology: a review of the first international meeting
Jonathan R. Wolpaw, Niels Birbaumer, William Heetderks, Dennis J. McFarland, P. Hunter Peckham, Gerwin Schalk, Emanuel Donchin, Louis A. Quatrano, Charles J. Robinson, Theresa M. Vaughan
S101490220. 20002,331 Citations
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Jonathan R. Wolpaw, Dennis J. McFarland
Proceedings of the National Academy of Sciences. 20041,522 Citations
A brain–computer interface using electrocorticographic signals in humans
Eric C. Leuthardt, Gerwin Schalk, Jonathan R. Wolpaw, Jeffrey G. Ojemann, Daniel W. Moran
Journal of Neural Engineering. 20041,197 Citations
Related on ScholarIQ
Albany State University
Institution
Brain–computer interfaces for communication and control
Paper
BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
Paper
Brain-computer interface technology: a review of the first international meeting
Paper
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Paper
A brain–computer interface using electrocorticographic signals in humans
Paper