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
Parents
121
An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis
James Ahrens, Sébastien Jourdain, Patrick O’Leary et al. · 2014 · 203 citations
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184
VRVis GmbH (Austria)
Vienna, Austria
7 h-index
13 publications
621 citations
University of Utah
Salt Lake City, United States
7 h-index
12 publications
1.1K citations
Argonne National Laboratory
Lemont, United States
5 h-index
12 publications
791 citations
University of California, Davis
Davis, United States
5 h-index
8 publications
633 citations

Lawrence Livermore National Laboratory
Livermore, United States
5 h-index
9 publications
1.1K citations

Oak Ridge National Laboratory
Oak Ridge, United States
5 h-index
26 publications
925 citations
Los Alamos National Laboratory
Los Alamos, United States
4 h-index
9 publications
946 citations
North Carolina State University
Raleigh, United States
4 h-index
13 publications
280 citations
1–8 of 184
TVCG · 13 publications · 694 citations
12
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4 publications · 393 citations
4
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JOSS · 3 publications · 89 citations
3
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Conference · 2 publications · 70 citations
2
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2 publications · 46 citations
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