Hyperbolic Tree Visualization

Hyperbolic Tree Visualization is a tree visualization method that employs hyperbolic geometry to embed hierarchical structures in a compact, focus-dependent layout enabling efficient exploration of large-scale hierarchies.

19

Publications

2.4K

Citations

44

Authors

15

Institutions

Publications per year

2017–2026

0

Authors

44

  1. RR
    Ramana Rao

    Palo Alto Research Center, United States

    4 publications · 1.5K citations

    4

    h-index

  2. PP
    Peter Pirolli

    Palo Alto Research Center, United States

    4 publications · 1.2K citations

    4

    h-index

  3. SK
    Stuart K. Card

    Palo Alto Research Center, United States

    3 publications · 307 citations

    3

    h-index

  4. MM
    Mija M. Van Der Wege

    Palo Alto Research Center, United States

    3 publications · 307 citations

    3

    h-index

  5. JL
    John Lamping

    Palo Alto Research Center, United States

    3 publications · 1.2K citations

    3

    h-index

1–5 of 44

Venues

  1. Decision Support Systems

    1 publications · 51 citations

    1

    h-index

  2. BMC Bioinformatics

    1 publications · 57 citations

    1

    h-index

  3. Journal of Visual Languages & Computing

    JVLC · 1 publications · 318 citations

    1

    h-index

  4. ACM Transactions on Computer-Human Interaction

    TOCHI · 1 publications · 92 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 97 citations

    1

    h-index

1–5