Value Encoding

Value Encoding is a visual encoding technique that represents data through variations in the lightness or darkness of color, distinguishing itself from other visual channels by conveying ordinal or quantitative information based on perceived luminance intensity.

18

Publications

1.7K

Citations

69

Authors

44

Institutions

Publications per year

2017–2026

8

Variants

Value-encoding

Authors

69

  1. BY
    Benjamin Y. Hayden

    University of Minnesota, United States

    3 publications · 147 citations

    3

    h-index

  2. DB
    Doug Burger

    The University of Texas at Austin, United States

    2 publications · 215 citations

    2

    h-index

  3. JP
    Jongse Park

    Georgia Institute of Technology, United States

    2 publications · 215 citations

    2

    h-index

  4. LC
    Luís Ceze

    University of Washington, United States

    2 publications · 215 citations

    2

    h-index

  5. HE
    Hadi Esmaeilzadeh

    Georgia Institute of Technology, United States

    2 publications · 215 citations

    2

    h-index

1–5 of 69

Venues

  1. Journal of Neuroscience

    4 publications · 364 citations

    4

    h-index

  2. Cerebral Cortex

    2 publications · 447 citations

    2

    h-index

  3. Frontiers in Computational Neuroscience

    1 publications · 31 citations

    1

    h-index

  4. Perception & Psychophysics

    1 publications · 154 citations

    1

    h-index

  5. ACM SIGARCH Computer Architecture News

    1 publications · 148 citations

    1

    h-index

1–5