Hierarchy Exploration

Hierarchy Exploration is a methodological framework within hierarchical visualization that enables the systematic navigation, traversal, and inspection of hierarchical structures to uncover nested relationships, patterns, and anomalies across multiple levels of abstraction.

60

Publications

8.9K

Citations

135

Authors

66

Institutions

Publications per year

2017–2026

6

Authors

135

  1. DT
    David Turo

    University of Maryland, College Park, United States

    4 publications · 226 citations

    4

    h-index

  2. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    4 publications · 286 citations

    4

    h-index

  3. MR
    Mashiur Rahman

    Duke-NUS Medical School, Singapore

    2 publications · 64 citations

    2

    h-index

  4. KA
    Keith Andrews

    Graz University of Technology, Austria

    2 publications · 47 citations

    2

    h-index

  5. MO
    Matthew O. Ward

    Worcester Polytechnic Institute, United States

    2 publications · 168 citations

    2

    h-index

1–5 of 135

Venues

  1. Information Visualization

    6 publications · 215 citations

    6

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 547 citations

    5

    h-index

  3. European Journal of Operational Research

    2 publications · 4.2K citations

    2

    h-index

  4. 2

    h-index

  5. Eurographics

    Repository · 2 publications · 81 citations

    2

    h-index

1–5