Scalar Value Mapping

Scalar Value Mapping is a color mapping technique that assigns colors to visual elements based on a single numerical value derived from data, distinguishing it from vector or multi-dimensional mappings by its reliance on univariate data inputs.

8

Publications

1.1K

Citations

29

Authors

17

Institutions

Publications per year

2017–2026

2

Authors

29

  1. SJ
    Sakari Junnila

    1 publications · 12 citations

    1

    h-index

  2. ZW
    Zhichao Wang

    Northwestern Polytechnical University, China

    1 publications · 46 citations

    1

    h-index

  3. TL
    Tao Li

    Northwestern Polytechnical University, China

    1 publications · 46 citations

    1

    h-index

  4. CR
    Christof Rezk‐Salama

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    1 publications · 72 citations

    1

    h-index

  5. MO
    Matthew O. Williams

    Princeton University, United States

    1 publications · 322 citations

    1

    h-index

1–5 of 29

Venues

  1. Computer Graphics Forum

    2 publications · 164 citations

    2

    h-index

  2. Journal of Computational Dynamics

    JCD · 1 publications · 322 citations

    1

    h-index

  3. Journal of Physics Conference Series

    1 publications · 33 citations

    1

    h-index

  4. 1

    h-index

  5. Proceedings of the ACM on Programming Languages

    PACMPL · 1 publications · 10 citations

1–5