Visual Search Evaluation

Visual Search Evaluation is a methodological framework within visualization evaluation that specifically assesses the efficiency and accuracy with which users locate target elements or patterns in visual displays under controlled conditions.

139

Publications

7K

Citations

454

Authors

195

Institutions

Publications per year

2017–2026

30

Authors

454

  1. AK
    Anand K. Gramopadhye

    Clemson University, United States

    5 publications · 128 citations

    5

    h-index

  2. EA
    Elizabeth A. Krupinski

    University of Arizona, United States

    4 publications · 132 citations

    4

    h-index

  3. BJ
    Brian J. Melloy

    Clemson University, United States

    3 publications · 45 citations

    3

    h-index

  4. AD
    Ara Darzi

    Imperial College London, United Kingdom

    2 publications · 74 citations

    2

    h-index

  5. IG
    Ido Guy

    IBM Research - Haifa, Israel

    2 publications · 40 citations

    2

    h-index

1–5 of 454

Venues

  1. 9

    h-index

  2. Displays

    5 publications · 221 citations

    5

    h-index

  3. 4

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 113 citations

    4

    h-index

  5. 3

    h-index

1–5