Search Error Rates

Search Error Rates is a metric that quantifies the frequency of incorrect determinations during visual search tasks, specifically distinguishing itself by measuring the proportion of false positives and false negatives in trademark search decisions relative to ground truth references.

100

Publications

7K

Citations

290

Authors

130

Institutions

Publications per year

2017–2026

15

Authors

290

  1. JM
    Jeremy M. Wolfe

    Brigham and Women's Hospital, United States

    3 publications · 627 citations

    3

    h-index

  2. DG
    Derrick G. Watson

    University of Warwick, United Kingdom

    2 publications · 58 citations

    2

    h-index

  3. TS
    Todd S. Horowitz

    Brigham and Women's Hospital, United States

    2 publications · 543 citations

    2

    h-index

  4. XL
    Xiaotao Liu

    Xidian University, China

    2 publications · 50 citations

    2

    h-index

  5. JB
    Jeffrey Beall

    University of Colorado Denver, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 290

Venues

  1. Journal of Proteome Research

    JPR · 4 publications · 1K citations

    4

    h-index

  2. 4

    h-index

  3. Attention Perception & Psychophysics

    3 publications · 99 citations

    3

    h-index

  4. British Journal of Psychology

    3 publications · 122 citations

    3

    h-index

  5. Ergonomics

    2 publications · 175 citations

    2

    h-index

1–5