Eye Movement Detection

Eye Movement Detection is a computational method that distinguishes ocular motion patterns from baseline electrical signals in electrooculographic data to identify the onset, direction, and type of saccadic and non-saccadic eye movements.

1.4K

Publications

77.3K

Citations

4.5K

Authors

1.4K

Institutions

Publications per year

2017–2026

499

Authors

4.5K

  1. OV
    Oleg V. Komogortsev

    Texas State University, United States

    23 publications · 881 citations

    17

    h-index

  2. AB
    Andreas Bulling

    Max Planck Institute for Informatics, Germany

    13 publications · 1.8K citations

    13

    h-index

  3. EK
    Enkelejda Kasneci

    University of Tübingen, Germany

    17 publications · 710 citations

    13

    h-index

  4. PK
    Paweł Kasprowski

    Silesian University of Technology, Poland

    12 publications · 488 citations

    11

    h-index

  5. MN
    Marcus Nyström

    Lund University, Sweden

    9 publications · 1.4K citations

    9

    h-index

1–5 of 4.5K

Venues

  1. Behavior Research Methods

    BRM · 37 publications · 3.6K citations

    30

    h-index

  2. Sensors

    23 publications · 938 citations

    19

    h-index

  3. Vision Research

    20 publications · 2.3K citations

    18

    h-index

  4. Journal of Eye Movement Research

    22 publications · 1.4K citations

    16

    h-index

  5. IEEE Transactions on Biomedical Engineering

    18 publications · 1.2K citations

    16

    h-index

1–5