Brain-computer Interface Performance Evaluation
Brain-Computer Interface Performance Evaluation is a systematic assessment methodology that quantifies the efficacy, accuracy, reliability, and responsiveness of brain-computer interface systems in translating neural signals into intended outputs under controlled experimental or operational conditions.
762
Publications
54.8K
Citations
2K
Authors
743
Institutions
Publications per year
2017–2026
287
Parents
762
1–5 of 762
2K
25
h-index
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743

University of Tübingen
Tübingen, Germany
31 h-index
122 publications
22.2K citations
Technische Universität Berlin
Berlin, Germany
26 h-index
93 publications
11.7K citations
University of Würzburg
Würzburg, Germany
26 h-index
70 publications
6.9K citations
Graz University of Technology
Graz, Austria
22 h-index
82 publications
10.2K citations
Tsinghua University
Beijing, China
21 h-index
82 publications
15.2K citations
Wadsworth Center
Albany, United States
19 h-index
53 publications
21.5K citations
New York State Department of Health
Albany, United States
18 h-index
57 publications
21.9K citations
Fraunhofer Institute for Production Systems and Design Technology
Berlin, Germany
18 h-index
66 publications
7.9K citations
1–8 of 743
82 publications · 6.6K citations
42
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73 publications · 8.4K citations
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27 publications · 2.3K citations
22
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24 publications · 6.4K citations
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25 publications · 2K citations
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