Multivariate Time-series Visualization
Multivariate Time-Series Visualization is a time-series visualization technique that specifically represents multiple interrelated temporal variables within a shared chronological framework, distinguishing itself from univariate or bivariate approaches by encoding the dynamic interactions and dependencies among three or more time-dependent dimensions.
49
Publications
1.8K
Citations
184
Authors
67
Institutions
Publications per year
2017–2026
14
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Visualization methods for time-dependent data - an overview
Wolfgang Müller, Heidrun Schumann · 2004 · 144 citations
Multi-frequency complex network from time series for uncovering oil-water flow structure
Zhongke Gao, Yuxuan Yang, Pengcheng Fang et al. · Scientific Reports · 2015 · 126 citations · Full text
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TU Wien
Vienna, Austria
5 h-index
19 publications
430 citations
University of California, Davis
Davis, United States
3 h-index
6 publications
247 citations
University of Maryland, Baltimore County
Baltimore, United States
3 h-index
8 publications
153 citations

Johns Hopkins University
Baltimore, United States
2 h-index
5 publications
88 citations

University of Rostock
Rostock, Germany
2 h-index
2 publications
206 citations
Ludwigsburg University of Education
Ludwigsburg, Germany
2 h-index
2 publications
206 citations

Johns Hopkins Medicine
Baltimore, United States
2 h-index
4 publications
72 citations
The University of Tokyo
Tokyo, Japan
2 h-index
5 publications
100 citations
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TVCG · 6 publications · 404 citations
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5 publications · 129 citations
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Repository · 2 publications · 73 citations
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Repository · 2 publications · 43 citations
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2 publications · 57 citations
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