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

Authors

2K

  1. AK
    Andrea Kübler

    University of Würzburg, Germany

    31 publications · 3.1K citations

    25

    h-index

  2. BB
    Benjamin Blankertz

    Technische Universität Berlin, Germany

    27 publications · 6.6K citations

    24

    h-index

  3. KM
    Klaus‐Robert Müller

    Technische Universität Berlin, Germany

    20 publications · 3.3K citations

    19

    h-index

  4. XG
    Xiaorong Gao

    Tsinghua University, China

    20 publications · 2.6K citations

    17

    h-index

  5. IV
    Ivan Volosyak

    Rhine-Waal University of Applied Sciences, Germany

    20 publications · 1.4K citations

    17

    h-index

1–5 of 2K

Venues

  1. Journal of Neural Engineering

    82 publications · 6.6K citations

    42

    h-index

  2. 42

    h-index

  3. PLoS ONE

    27 publications · 2.3K citations

    22

    h-index

  4. IEEE Transactions on Biomedical Engineering

    24 publications · 6.4K citations

    21

    h-index

  5. Frontiers in Human Neuroscience

    25 publications · 2K citations

    21

    h-index

1–5