Visual Scalability

Visual Scalability is a visualization system property that characterizes the ability of a visual representation to maintain perceptual clarity and analytical effectiveness as the volume, complexity, or dimensionality of the underlying data increases.

18

Publications

806

Citations

63

Authors

34

Institutions

Publications per year

2017–2026

5

Authors

63

  1. JF
    Jean‐Daniel Fekete

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 72 citations

    2

    h-index

  2. BY
    Beth Yost

    Virginia Tech, United States

    2 publications · 293 citations

    2

    h-index

  3. CN
    Chris North

    Virginia Tech, United States

    2 publications · 293 citations

    2

    h-index

  4. JR
    José Remo Ferreira Brega

    Universidade Estadual Paulista (Unesp), Brazil

    1 publications · 12 citations

    1

    h-index

  5. BW
    Benjamin Watson

    Northwestern University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 63

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 182 citations

    3

    h-index

  2. Information Visualization

    1 publications · 182 citations

    1

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 75 citations

    1

    h-index

  4. BMC Bioinformatics

    1 publications · 17 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 25 citations

    1

    h-index

1–5