Size Encoding

Size Encoding is a visual encoding technique that uses the spatial dimensions of graphical elements to represent quantitative data values, distinguishing itself from other visual variables such as color or shape by encoding magnitude through perceived area or length.

9

Publications

475

Citations

24

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

24

  1. MS
    Mary S. Attig

    Temple University, United States

    2 publications · 118 citations

    2

    h-index

  2. WC
    Walter Chromiak

    Temple University, United States

    2 publications · 118 citations

    2

    h-index

  3. LH
    Lynn Hasher

    University of Toronto, Canada

    2 publications · 118 citations

    2

    h-index

  4. JW
    Joseph W. Alba

    University of Florida, United States

    2 publications · 118 citations

    2

    h-index

  5. HT
    Huwaida T. Elshoush

    University of Khartoum, Sudan

    1 publications · 47 citations

    1

    h-index

1–5 of 24

Venues

  1. Psychological Research

    2 publications · 106 citations

    2

    h-index

  2. 2

    h-index

  3. Vision Research

    1 publications · 43 citations

    1

    h-index

  4. IEEE Access

    1 publications · 47 citations

    1

    h-index

  5. Advanced Functional Materials

    1 publications · 85 citations

    1

    h-index

1–5