Visual Encoding Evaluation

Visual Encoding Evaluation is a systematic method for assessing the effectiveness, accuracy, and interpretability of visual representations in conveying data through the mapping of data attributes to visual properties such as position, color, size, and shape.

33

Publications

2.7K

Citations

93

Authors

53

Institutions

Publications per year

2017–2026

13

Authors

93

  1. TM
    Tamara Munzner

    University of British Columbia, Canada

    3 publications · 1.1K citations

    3

    h-index

  2. JH
    Jessica Hullman

    University of Washington, United States

    2 publications · 93 citations

    2

    h-index

  3. MC
    Marcella Cornia

    University of Modena and Reggio Emilia, Italy

    2 publications · 44 citations

    2

    h-index

  4. RC
    Rita Cucchiara

    University of Modena and Reggio Emilia, Italy

    2 publications · 44 citations

    2

    h-index

  5. JH
    Jeffrey Heer

    University of Washington, United States

    2 publications · 300 citations

    2

    h-index

1–5 of 93

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 1.4K citations

    7

    h-index

  2. Computer Graphics Forum

    5 publications · 521 citations

    5

    h-index

  3. Child Development

    2 publications · 106 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 44 citations

    2

    h-index

  5. Journal of Gerontology

    1 publications · 91 citations

    1

    h-index

1–5