Parallel Sets

Parallel Sets is a data visualization technique that, as a variant of parallel coordinates, specifically represents categorical multivariate data using bundled paths between parallel axes to reveal patterns and flows within the dataset.

47

Publications

5.2K

Citations

128

Authors

72

Institutions

Publications per year

2017–2026

8

Authors

128

  1. RK
    Robert Kosara

    University of North Carolina at Charlotte, United States

    3 publications · 411 citations

    3

    h-index

  2. FB
    F. Bendix

    VRVis GmbH (Austria), Austria

    3 publications · 411 citations

    3

    h-index

  3. HH
    Helwig Hauser

    University of Bergen, Norway

    3 publications · 411 citations

    3

    h-index

  4. JR
    Jan Rataj

    Charles University, Czechia

    2 publications · 85 citations

    2

    h-index

  5. LM
    Lalit M. Srivastava

    Simon Fraser University, Canada

    2 publications · 45 citations

    2

    h-index

1–5 of 128

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 349 citations

    4

    h-index

  2. Indiana University Mathematics Journal

    IUMJ · 2 publications · 132 citations

    2

    h-index

  3. American Journal of Botany

    2 publications · 45 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 39 citations

    2

    h-index

  5. Review of Educational Research

    RER · 1 publications · 25 citations

    1

    h-index

1–5