Tree Readability

Tree Readability is a metric that quantifies the ease with which hierarchical tree structures can be visually interpreted and understood by users, distinguishing itself from other visualization evaluation measures by focusing specifically on the cognitive clarity of node-link representations in tree diagrams.

6

Publications

142

Citations

21

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

21

  1. MS
    Michael S. Jacobson

    University of Louisville, United States

    1 publications · 24 citations

    1

    h-index

  2. JS
    Jessica Saffer

    University of Nottingham, United Kingdom

    1 publications · 12 citations

    1

    h-index

  3. AB
    Anastasia Bezerianos

    Centre National de la Recherche Scientifique, France

    1 publications · 23 citations

    1

    h-index

  4. PS
    Philipp Schmiemann

    University of Duisburg-Essen, Germany

    1 publications · 24 citations

    1

    h-index

  5. SB
    Stefan Burr

    City College of New York, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 21

Venues

  1. Merrill-Palmer Quarterly

    1 publications · 12 citations

    1

    h-index

  2. Evolution Education and Outreach

    1 publications · 24 citations

    1

    h-index

  3. Graphs and Combinatorics

    1 publications · 24 citations

    1

    h-index

  4. Discrete Applied Mathematics

    1 publications · 40 citations

    1

    h-index

  5. 2011 15th International Conference on Information Visualisation

    Conference · 1 publications · 23 citations

    1

    h-index

1–5