2026 Dennis J. McFarland: Neuroscience Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	65	3056	2792	1416	1274	179	40117
Computer Science	59	3317	3221	1606	1547	132	37809

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

3056

2792

1416

1274

179

40117

Computer Science

3317

3221

1606

1547

132

37809

Neuroscience

D-Index

Citations

40117

World Ranking

3056

National Ranking

1416

Computer Science

D-Index

Citations

37809

World Ranking

3317

National Ranking

1606

Overview

Dennis J. McFarland is affiliated with the Wadsworth Center in the United States. Their research spans multiple areas within neuroscience and engineering, focusing on understanding brain function and its applications in neural interfaces.

The main fields of study for McFarland include:

Neuroscience
Engineering

Within these fields, McFarland has contributed to several subfields, notably:

Cognitive Neuroscience
Cellular and Molecular Neuroscience
Biomedical Engineering
Experimental and Cognitive Psychology
Artificial Intelligence

McFarland's research interests concentrate on key topics such as:

EEG and Brain-Computer Interfaces
Neuroscience and Neural Engineering
Muscle activation and electromyography studies
Mental Health Research Topics
Functional Brain Connectivity Studies
Cognitive Science and Mapping

The scientist has published in several peer-reviewed journals and venues, including:

Muscle & Nerve
Journal of Intelligence
Brain-Computer Interfaces

Selected recent papers authored by Dennis J. McFarland include:

"Brain-computer interfaces for amyotrophic lateral sclerosis", 2020, Muscle & Nerve
"The Effects of Using Partial or Uncorrected Correlation Matrices When Comparing Network and Latent Variable Models", 2020, Journal of Intelligence
"BCI-based sensorimotor rhythm training can affect individuated finger movements", 2020, Brain-Computer Interfaces

Frequent collaborators in McFarland's work include:

Sumner L. Norman
William A. Sarnacki
Eric T. Wolbrecht
David J. Reinkensmeyer
Jonathan R. Wolpaw

Best Publications

Brain-computer interfaces for communication and control.

Jonathan R Wolpaw;Jonathan R Wolpaw;Niels Birbaumer;Niels Birbaumer;Dennis J McFarland;Gert Pfurtscheller

9941
Citations
BCI2000: a general-purpose brain-computer interface (BCI) system

G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer

3572
Citations
Brain-computer interface technology: a review of the first international meeting

J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland

2936
Citations
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans

Jonathan R. Wolpaw;Dennis J. McFarland

1958
Citations
An EEG-based brain-computer interface for cursor control

Jonathan R. Wolpaw;Dennis J. McFarland;Gregory W. Neat;Catherine A. Forneris

1519
Citations
Spatial filter selection for EEG-based communication

Dennis J. McFarland;Lynn M. McCane;Stephen V. David;Jonathan R. Wolpaw

1232
Citations
Mu and beta rhythm topographies during motor imagery and actual movements.

Dennis J. McFarland;Laurie A. Miner;Theresa M. Vaughan;Jonathan R. Wolpaw

1096
Citations
A comparison of classification techniques for the P300 Speller

Dean J Krusienski;Eric W Sellers;François Cabestaing;Sabri Bayoudh

1021
Citations
Toward enhanced P300 speller performance

D.J. Krusienski;E.W. Sellers;D.J. McFarland;T.M. Vaughan

938
Citations
EMG contamination of EEG: spectral and topographical characteristics.

I.I Goncharova;D.J McFarland;T.M Vaughan;J.R Wolpaw

779
Citations
Brain-computer interface research at the Wadsworth Center

J.R. Wolpaw;D.J. McFarland;T.M. Vaughan

706
Citations
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan

681
Citations
A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance.

Eric W. Sellers;Dean J. Krusienski;Dennis J. McFarland;Theresa M. Vaughan

670
Citations
Multichannel EEG-based brain-computer communication.

Jonathan R. Wolpaw;Dennis J. McFarland

647
Citations
Brain-computer interfaces for communication and control

Dennis J. McFarland;Jonathan R. Wolpaw

576
Citations
Electroencephalographic (EEG) control of three-dimensional movement.

Dennis J McFarland;William A Sarnacki;Jonathan R Wolpaw

552
Citations
An auditory brain-computer interface (BCI).

Femke Nijboer;Adrian Furdea;Ingo Gunst;Juergen Mellinger

507
Citations
EEG-based communication: improved accuracy by response verification

J.R. Wolpaw;H. Ramoser;D.J. McFarland;G. Pfurtscheller

502
Citations
Towards an independent brain–computer interface using steady state visual evoked potentials

Brendan Z. Allison;Dennis J. McFarland;Gerwin Schalk;Shi Dong Zheng

459
Citations
The wadsworth BCI research and development program: at home with BCI

T.M. Vaughan;D.J. McFarland;G. Schalk;W.A. Sarnacki

431
Citations