Aggregation In Hierarchical Visualization

Aggregation in Hierarchical Visualization is a hierarchical data summarization technique that reduces complexity by grouping lower-level elements into higher-level structures, preserving structural relationships and enabling multi-scale visual exploration.

5

Publications

480

Citations

14

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

14

  1. JF
    Jean‐Daniel Fekete

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

    1 publications · 387 citations

    1

    h-index

  2. SM
    Svetlana Mansmann

    University of Konstanz, Germany

    1 publications · 39 citations

    1

    h-index

  3. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 11 citations

    1

    h-index

  4. CC
    Christopher Collins

    Ontario Tech University, Canada

    1 publications · 16 citations

    1

    h-index

  5. JH
    Jessica Hullman

    University of Washington, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 14

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 414 citations

    3

    h-index

  2. Computer Graphics Forum

    1 publications · 27 citations

    1

    h-index

1–2