Immersive Data Analysis
Immersive Data Analysis is an academic concept denoting a mode of data analysis that belongs to the genus of analytical methods and is differentiated by its integration of immersive technologies—such as virtual, augmented, or mixed reality—to enable spatial, interactive, and perception-rich engagement with complex datasets.
61
Publications
2.5K
Citations
200
Authors
88
Institutions
Publications per year
2017–2026
40
Parents
61
Grand Challenges in Immersive Analytics
Barrett Ens, Benjamin Bach, Maxime Cordeil et al. · 2021 · 208 citations · Full text
IATK: An Immersive Analytics Toolkit
Maxime Cordeil, Andrew Cunningham, Benjamin Bach et al. · 2019 · 130 citations · Full text
Andrea Batch, Andrew Cunningham, Maxime Cordeil et al. · IEEE Transactions on Visualization and Computer Graphics · 2019 · 118 citations · Full text
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88

Monash University
Melbourne, Australia
9 h-index
28 publications
2.7K citations
Technische Universität Dresden
Dresden, Germany
4 h-index
6 publications
396 citations
University of Illinois Chicago
Chicago, United States
3 h-index
10 publications
249 citations
RWTH Aachen University
Aachen, Germany
3 h-index
17 publications
916 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
86 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
3 publications
348 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
11 publications
589 citations
University of Konstanz
Konstanz, Germany
3 h-index
11 publications
809 citations
1–8 of 88
6 publications · 210 citations
6
h-index
TVCG · 4 publications · 387 citations
4
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Conference · 2 publications · 65 citations
2
h-index
Conference · 1 publications · 15 citations
2
h-index
2 publications · 71 citations
2
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1–5