Scalability In Visualization

Scalability in Visualization is a property of visual representation methods that enables effective rendering, interaction, and interpretation of data as the volume, dimensionality, or complexity of multi-omics datasets increases without degradation in performance or clarity.

10

Publications

420

Citations

35

Authors

21

Institutions

Publications per year

2017–2026

2

Authors

35

  1. CN
    Chris North

    Virginia Tech, United States

    2 publications · 205 citations

    2

    h-index

  2. BY
    Beth Yost

    Virginia Tech, United States

    2 publications · 205 citations

    2

    h-index

  3. GH
    Guillaume Huard

    Université Grenoble Alpes, France

    2 publications · 29 citations

    2

    h-index

  4. VM
    Vania Marangozova‐Martin

    Université Grenoble Alpes, France

    1 publications · 19 citations

    1

    h-index

  5. TF
    Thomas Fogal

    University of Utah, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 35

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 158 citations

    3

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 75 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 15 citations

    1

    h-index

1–3