Visual Graph Analytics

Visual Graph Analytics is a scholarly research contribution that advances the integration of visual representation and interactive computational methods to enable analytical reasoning about graph-structured data through human-in-the-loop processes.

110

Publications

5.3K

Citations

349

Authors

172

Institutions

Publications per year

2017–2026

35

Authors

349

  1. PC
    Pak Chung Wong

    Pacific Northwest National Laboratory, United States

    6 publications · 135 citations

    6

    h-index

  2. HF
    H.P. Foote

    Pacific Northwest National Laboratory, United States

    5 publications · 124 citations

    5

    h-index

  3. PM
    Patrick Mackey

    Pacific Northwest National Laboratory, United States

    5 publications · 124 citations

    5

    h-index

  4. DH
    Duen Horng Chau

    Georgia Institute of Technology, United States

    4 publications · 128 citations

    4

    h-index

  5. JF
    Jean‐Daniel Fekete

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

    4 publications · 1.1K citations

    4

    h-index

1–5 of 349

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 15 publications · 470 citations

    13

    h-index

  2. Computer Graphics Forum

    4 publications · 628 citations

    4

    h-index

  3. Journal of Visual Languages & Computing

    JVLC · 2 publications · 34 citations

    2

    h-index

  4. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 173 citations

    2

    h-index

  5. 2

    h-index

1–5