Interactive Categorical Visualizations

Interactive Categorical Visualizations is a data visualization method that enables dynamic user engagement with categorical data representations, distinguished by real-time updating, filtering, and exploration capabilities in response to user input.

16

Publications

1.5K

Citations

28

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

28

  1. RK
    Robert Kosara

    University of North Carolina at Charlotte, United States

    4 publications · 425 citations

    4

    h-index

  2. RI
    Ross Ihaka

    University of Auckland, New Zealand

    3 publications · 254 citations

    3

    h-index

  3. FB
    F. Bendix

    VRVis GmbH (Austria), Austria

    3 publications · 411 citations

    3

    h-index

  4. AZ
    Achim Zeileis

    Universität Innsbruck, Austria

    3 publications · 254 citations

    3

    h-index

  5. PM
    Paul Murrell

    University of Auckland, New Zealand

    3 publications · 254 citations

    3

    h-index

1–5 of 28

Venues

  1. Computer Graphics Forum

    2 publications · 59 citations

    2

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  2. Journal of Statistical Software

    JSS · 2 publications · 298 citations

    2

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 106 citations

    2

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 261 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 18 citations

    1

    h-index

1–5