Visual Analytics For Large Graphs

Visual Analytics for Large Graphs is an academic framework that integrates interactive visualization techniques with computational analysis methods to facilitate the understanding, exploration, and interpretation of large-scale graph structures through human-in-the-loop processes.

127

Publications

6.7K

Citations

379

Authors

174

Institutions

Publications per year

2017–2026

38

Variants

Large Graph Visual Analytics

Authors

379

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    6 publications · 156 citations

    6

    h-index

  2. JF
    Jean‐Daniel Fekete

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

    5 publications · 779 citations

    5

    h-index

  3. TS
    Tobias Schreck

    University of Konstanz, Germany

    5 publications · 653 citations

    5

    h-index

  4. PC
    Pak Chung Wong

    Pacific Northwest National Laboratory, United States

    4 publications · 64 citations

    4

    h-index

  5. HT
    Hanghang Tong

    University of Illinois Urbana-Champaign, United States

    4 publications · 120 citations

    4

    h-index

1–5 of 379

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 14 publications · 1.2K citations

    14

    h-index

  2. Computer Graphics Forum

    5 publications · 749 citations

    5

    h-index

  3. Bioinformatics

    3 publications · 436 citations

    3

    h-index

  4. Journal of Visualization

    3 publications · 61 citations

    3

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 173 citations

    2

    h-index

1–5