Data Recording Standards

Data Recording Standards is a formal framework within the field of visual condition survey that specifies consistent protocols, formats, and procedures for capturing, documenting, and preserving observational and measurement data to ensure accuracy, reliability, and interoperability across assessments.

43

Publications

5.3K

Citations

135

Authors

67

Institutions

Publications per year

2017–2026

4

Authors

135

  1. ED
    Emanuel Donchin

    University of Illinois Urbana-Champaign, United States

    2 publications · 2.3K citations

    2

    h-index

  2. SA
    S. A. Hillyard

    University of California San Diego, United States

    2 publications · 2.3K citations

    2

    h-index

  3. RS
    Randall S. Johnson

    University of California San Diego, United States

    2 publications · 2.3K citations

    2

    h-index

  4. PB
    Patrick Berg

    University of Konstanz, Germany

    2 publications · 2.3K citations

    2

    h-index

  5. WR
    Walter Ritter

    Albert Einstein College of Medicine, United States

    2 publications · 2.3K citations

    2

    h-index

1–5 of 135

Venues

  1. Journal of Electromyography and Kinesiology

    4 publications · 67 citations

    4

    h-index

  2. Geophysics

    2 publications · 155 citations

    2

    h-index

  3. Medical Entomology and Zoology

    2 publications · 1.3K citations

    2

    h-index

  4. Psychophysiology

    2 publications · 2.3K citations

    2

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 38 citations

    1

    h-index

1–5