Femke Nijboer - Concepedia

Author

Femke Nijboer

University of Twente ORCID

Also Known As

F. Nijboer, Femke Nijboer, Nijboer, Nijboer, F., Nijboer, Femke

Publications

4.7K

Citations

H-Index

Concepts

All Affiliations

University of Twente University of Tübingen Radboud University Nijmegen Ospedale generale di zona San Camillo Treviso Tecnalia

About

Femke Nijboer is an author at University of Twente specializing in brain-computer interface, neuroscience, and social sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	303
2	Health Sciences	4	4	1.2K
3	Arts	2	2	487
4	Education	1	1	53
5	Language Studies	1	1	323

Femke Nijboer

Publications

3.8K

Citations

H-Index

Page 1

	Year	Citations
A P300-based brain–computer interface for people with amyotrophic lateral sclerosis Femke Nijboer, Eric W. Sellers, Jürgen Mellinger, Clinical Neurophysiology Neurodegenerative DiseasesAmyotrophic Lateral SclerosisMedicineBraincomputer InterfaceNeuroimaging	2008	621
An auditory brain–computer interface (BCI) Femke Nijboer, Adrian Furdea, Ingo Gunst, Journal of Neuroscience Methods Auditory ProcessingAuditory Brain–computer InterfaceCognitive ScienceAuditory ModelingAuditory Neuroscience	2007	399
An auditory oddball (P300) spelling system for brain‐computer interfaces Adrian Furdea, Sebastian Halder, Dean J. Krusienski, Psychophysiology Auditory ImageryVisual Spelling SystemNeurolinguisticsBraincomputer InterfacePsycholinguistics	2009	323
The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study Femke Nijboer Frontiers in Neuroscience NeuropsychologyBrain FunctionMotivational FactorsAffective NeuroscienceCognition	2010	318
A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients Andrea Kübler, Adrian Furdea, Sebastian Halder, Annals of the New York Academy of Sciences	2009	309
Motivation modulates the P300 amplitude during brain–computer interface use Sonja C. Kleih, Femke Nijboer, Sebastian Halder, Clinical Neurophysiology NeuropsychologyCognitive ScienceCognitive PerformanceNeurophysiologyAffective Neuroscience	2010	252
Transition from the locked in to the completely locked-in state: A physiological analysis Ander Ramos‐Murguialday, J. Hill, Michael Bensch, Clinical Neurophysiology Neurobiological MechanismNeuropsychologyNeurodynamicsNeurophysiologyPsychophysiology	2010	180
An auditory oddball brain–computer interface for binary choices Sebastian Halder, Massimiliano Rea, R. Andreoni, Clinical Neurophysiology Auditory ProcessingCognitive ScienceAuditory ModelingComputational NeuroscienceAuditory Neuroscience	2010	179
A Dry EEG-System for Scientific Research and Brain–Computer Interfaces Thorsten O. Zander, Moritz Lehne, Klas Ihme, Frontiers in Neuroscience ElectroencephalographySocial SciencesStimulation DeviceDry Eeg-systemCognitive Electrophysiology	2011	148
The Asilomar Survey: Stakeholders’ Opinions on Ethical Issues Related to Brain-Computer Interfacing Femke Nijboer, Jens Clausen, Brendan Z. Allison, Neuroethics	2011	130

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