Annotation Evaluation

Annotation Evaluation is a scholarly contribution in visualization research that constitutes a systematic method or framework for assessing the effectiveness, accuracy, or impact of annotations in conveying information, enhancing comprehension, or supporting user tasks within visual displays.

34

Publications

1.2K

Citations

137

Authors

63

Institutions

Publications per year

2017–2026

6

Authors

137

  1. MA
    Maristella Agosti

    University of Padua, Italy

    1 publications · 14 citations

    1

    h-index

  2. GF
    Gerald Friedland

    Yale University, United States

    1 publications · 15 citations

    1

    h-index

  3. CS
    Christian Simader

    Medical University of Vienna, Austria

    1 publications · 44 citations

    1

    h-index

  4. FP
    Francesco Piccinno

    Google (United States), United States

    1 publications · 191 citations

    1

    h-index

  5. PL
    Paul Lewis

    University of Southampton, United Kingdom

    1 publications · 47 citations

    1

    h-index

1–5 of 137

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 38 citations

    2

    h-index

  2. Frontiers in Psychology

    1 publications · 28 citations

    1

    h-index

  3. Työväentutkimus Vuosikirja

    1 publications · 12 citations

    1

    h-index

  4. Journal of Ophthalmology

    1 publications · 44 citations

    1

    h-index

  5. Figshare

    Repository · 1 publications · 23 citations

    1

    h-index

1–5