Directed Acyclic Graph Visualization

Directed Acyclic Graph Visualization is a methodological framework within hierarchical network visualization that specifically represents directed acyclic graphs by encoding parent-child relationships without cycles, emphasizing topological ordering and structural clarity to facilitate the interpretation of asymmetric, hierarchical dependencies.

45

Publications

6.2K

Citations

171

Authors

76

Institutions

Publications per year

2017–2026

12

Authors

171

  1. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    2 publications · 81 citations

    2

    h-index

  2. LB
    Lars Bolund

    Aarhus University, Denmark

    2 publications · 3.5K citations

    2

    h-index

  3. ER
    Emden R. Gansner

    AT&T (United States), United States

    2 publications · 141 citations

    2

    h-index

  4. PR
    Preston R. Aldrich

    Purdue University West Lafayette, United States

    2 publications · 50 citations

    2

    h-index

  5. KV
    K.-P. Vo

    AT&T (United States), United States

    2 publications · 141 citations

    2

    h-index

1–5 of 171

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 747 citations

    7

    h-index

  2. Nucleic Acids Research

    3 publications · 3.6K citations

    3

    h-index

  3. BMC Bioinformatics

    2 publications · 77 citations

    2

    h-index

  4. Computer Graphics Forum

    2 publications · 48 citations

    2

    h-index

  5. Decision Support Systems

    2 publications · 76 citations

    2

    h-index

1–5