Simulation Data Exploration

Simulation Data Exploration is a methodological framework within simulation visualization that enables the interactive analysis and interpretation of multidimensional simulation datasets to uncover underlying patterns, behaviors, and anomalies through visual and computational techniques.

121

Publications

21.1K

Citations

457

Authors

184

Institutions

Publications per year

2017–2026

39

Authors

457

  1. SM
    Susan M. Sanchez

    Naval Postgraduate School, United States

    4 publications · 96 citations

    4

    h-index

  2. HH
    Helwig Hauser

    University of Bergen, Norway

    3 publications · 101 citations

    3

    h-index

  3. HD
    Helmut Doleisch

    VRVis GmbH (Austria), Austria

    3 publications · 109 citations

    3

    h-index

  4. JA
    James Ahrens

    Los Alamos National Laboratory, United States

    3 publications · 243 citations

    3

    h-index

  5. KM
    Krešimir Matković

    VRVis GmbH (Austria), Austria

    3 publications · 97 citations

    3

    h-index

1–5 of 457

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 13 publications · 694 citations

    12

    h-index

  2. IEEE Computer Graphics and Applications

    4 publications · 393 citations

    4

    h-index

  3. The Journal of Open Source Software

    JOSS · 3 publications · 89 citations

    3

    h-index

  4. 2007 Winter Simulation Conference

    Conference · 2 publications · 70 citations

    2

    h-index

  5. Computer Graphics Forum

    2 publications · 46 citations

    2

    h-index

1–5