Visual Analytics For Networks

Visual Analytics for Networks is a scholarly framework that integrates interactive visual interfaces with analytical methods to enable the exploration, interpretation, and comprehension of complex network structures and dynamics through human-in-the-loop data analysis.

199

Publications

10.9K

Citations

626

Authors

294

Institutions

Publications per year

2017–2026

45

Authors

626

  1. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    9 publications · 311 citations

    9

    h-index

  2. UB
    Ulrik Brandes

    University of Konstanz, Germany

    6 publications · 424 citations

    6

    h-index

  3. QL
    Qi Liao

    Central Michigan University, United States

    6 publications · 135 citations

    6

    h-index

  4. HT
    Hanghang Tong

    University of Illinois Urbana-Champaign, United States

    5 publications · 145 citations

    5

    h-index

  5. LS
    Lei Shi

    Chinese Academy of Sciences, China

    5 publications · 172 citations

    5

    h-index

1–5 of 626

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 22 publications · 2.1K citations

    19

    h-index

  2. Computer Graphics Forum

    7 publications · 522 citations

    7

    h-index

  3. IEEE Computer Graphics and Applications

    4 publications · 198 citations

    4

    h-index

  4. Journal of Visualization

    4 publications · 86 citations

    4

    h-index

  5. 3

    h-index

1–5