Visual Analytics For Models

Visual Analytics for Models is a scholarly contribution that integrates interactive visual interfaces with analytical computational methods to facilitate the interpretation, exploration, and evaluation of mathematical models, distinguishing it from purely algorithmic or static visualization approaches by emphasizing human-in-the-loop reasoning through visual means.

41

Publications

2.6K

Citations

148

Authors

70

Institutions

Publications per year

2017–2026

30

Authors

148

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    2 publications · 71 citations

    2

    h-index

  2. WY
    Weikai Yang

    Tsinghua University, China

    2 publications · 273 citations

    2

    h-index

  3. MF
    Matteo Fasiolo

    University of Bristol, United Kingdom

    2 publications · 203 citations

    2

    h-index

  4. CN
    Chris North

    Virginia Tech, United States

    2 publications · 61 citations

    2

    h-index

  5. ML
    Mengchen Liu

    Tsinghua University, China

    2 publications · 273 citations

    2

    h-index

1–5 of 148

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 236 citations

    5

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 193 citations

    2

    h-index

  3. IEEE Computer Graphics and Applications

    2 publications · 89 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 62 citations

    2

    h-index

  5. Computational Visual Media

    1 publications · 260 citations

    1

    h-index

1–5