Microsaccade Detection

Microsaccade Detection is a computational method that identifies microsaccades by distinguishing them from other fixational eye movements through precise spatiotemporal thresholds applied to gaze trajectory data.

93

Publications

6.9K

Citations

259

Authors

158

Institutions

Publications per year

2017–2026

36

Authors

259

  1. SL
    Stephen L. Macknik

    Barrow Neurological Institute, United States

    7 publications · 734 citations

    7

    h-index

  2. ZM
    Ziad M. Hafed

    Hertie Institute for Clinical Brain Research, Germany

    7 publications · 1.2K citations

    7

    h-index

  3. RE
    Ralf Engbert

    University of Potsdam, Germany

    7 publications · 526 citations

    7

    h-index

  4. SM
    Susana Martínez‐Conde

    Barrow Neurological Institute, United States

    6 publications · 627 citations

    6

    h-index

  5. JO
    Jorge Otero‐Millan

    Johns Hopkins University, United States

    5 publications · 376 citations

    5

    h-index

1–5 of 259

Venues

  1. Vision Research

    15 publications · 1.6K citations

    15

    h-index

  2. Experimental Brain Research

    9 publications · 793 citations

    9

    h-index

  3. Journal of Vision

    8 publications · 525 citations

    8

    h-index

  4. Journal of Neuroscience

    6 publications · 582 citations

    6

    h-index

  5. Journal of Eye Movement Research

    4 publications · 98 citations

    4

    h-index

1–5