Data-driven Simulation Visualization

Data-Driven Simulation Visualization is a simulation visualization approach that integrates empirical or observed data as a foundational input to drive, constrain, or validate the visual representation of dynamic system behaviors, distinguishing it from purely model-based or abstract visualizations by grounding visual outputs in real-world measurements or data sources.

15

Publications

641

Citations

80

Authors

23

Institutions

Publications per year

2017–2026

4

Authors

80

  1. SL
    Shaomeng Li

    NSF National Center for Atmospheric Research, United States

    2 publications · 168 citations

    2

    h-index

  2. HH
    Helwig Hauser

    University of Bergen, Norway

    2 publications · 68 citations

    2

    h-index

  3. LO
    Leigh Orf

    University of Wisconsin–Madison, United States

    2 publications · 168 citations

    2

    h-index

  4. JC
    John Clyne

    NSF National Center for Atmospheric Research, United States

    2 publications · 168 citations

    2

    h-index

  5. SJ
    Stanislaw Jaroszynski

    NSF National Center for Atmospheric Research, United States

    2 publications · 168 citations

    2

    h-index

1–5 of 80

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 75 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Computational Science and Engineering

    1 publications · 73 citations

    1

    h-index

  4. Computers and Electronics in Agriculture

    1 publications · 11 citations

    1

    h-index

  5. Atmosphere

    1 publications · 158 citations

    1

    h-index

1–5