Data-dense Graphics

Data-Dense Graphics is a type of statistical graphic that belongs to the class of data visualization techniques and is distinguished by its deliberate maximization of information content per unit of display space, often through the inclusion of extensive data points, contextual details, and multivariate representation without inducing visual clutter.

3

Publications

178

Citations

15

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

15

  1. HF
    Henry Fuchs

    University of North Carolina at Chapel Hill, United States

    1 publications · 29 citations

    1

    h-index

  2. GB
    Gary Bishop

    University of North Carolina at Chapel Hill, United States

    1 publications · 29 citations

    1

    h-index

  3. DM
    David McAllister

    University of North Carolina at Chapel Hill, United States

    1 publications · 29 citations

    1

    h-index

  4. MB
    Mark Billinghurst

    University of Canterbury, New Zealand

    1 publications · 48 citations

    1

    h-index

  5. AL
    Anselmo Lastra

    University of North Carolina at Chapel Hill, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 15

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 101 citations

    1

    h-index

1–1