Linked Network Views

Linked Network Views is a coordinated visualization framework that integrates multiple network representations through interactive linkages, enabling synchronous exploration and analysis of relational data across different schematic perspectives.

1

Publications

57

Citations

9

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

9

  1. MS
    Martin Schulz

    Lawrence Livermore National Laboratory, United States

    1 publications · 57 citations

    1

    h-index

  2. JA
    Joshua A. Levine

    University of Utah, United States

    1 publications · 57 citations

    1

    h-index

  3. TG
    Todd Gamblin

    Lawrence Livermore National Laboratory, United States

    1 publications · 57 citations

    1

    h-index

  4. VP
    Valerio Pascucci

    Lawrence Livermore National Laboratory, United States

    1 publications · 57 citations

    1

    h-index

  5. KE
    Katherine E. Isaacs

    Lawrence Livermore National Laboratory, United States

    1 publications · 57 citations

    1

    h-index

1–5 of 9

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 57 citations

    1

    h-index

1–1