Visual Encoding Abstraction

Visual Encoding Abstraction is a data abstraction technique that specifies how visual properties such as position, color, and shape are systematically mapped to represent underlying data attributes in a visual representation.

4

Publications

1.8K

Citations

14

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

14

  1. DM
    Dominik Moritz

    University of Washington, United States

    2 publications · 902 citations

    2

    h-index

  2. KW
    Kanit Wongsuphasawat

    University of Washington, United States

    2 publications · 902 citations

    2

    h-index

  3. JH
    Jeffrey Heer

    University of Washington, United States

    2 publications · 902 citations

    2

    h-index

  4. AS
    Arvind Satyanarayan

    Massachusetts Institute of Technology, United States

    2 publications · 902 citations

    2

    h-index

  5. YL
    Yuchao Liu

    Nanjing University of Posts and Telecommunications, China

    1 publications · 33 citations

    1

    h-index

1–5 of 14

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 1.7K citations

    3

    h-index

1–1