Irregular Time Series Visualization
Irregular Time Series Visualization is a method of visualizing time-series data in which observations are recorded at non-uniform or unevenly spaced time intervals, distinguishing it from regular time series visualization by explicitly addressing the challenges of temporal irregularity in data acquisition and representation.
6
Publications
252
Citations
23
Authors
10
Institutions
Publications per year
2017–2026
1
Parents
6
1–5 of 6
23
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h-index
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1–5 of 23
10
Texas Advanced Computing Center
Austin, United States
1 h-index
1 publications
25 citations

Oak Ridge National Laboratory
Oak Ridge, United States
1 h-index
6 publications
276 citations
Chiba University Hospital
Chiba, Japan
1 h-index
2 publications
36 citations
Seoul National University
Seoul, South Korea
1 h-index
2 publications
56 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
1 publications
25 citations

Seoul National University Bundang Hospital
Seongnam-si, South Korea
1 h-index
2 publications
56 citations
National Sedimentation Laboratory
Oxford, United States
1 h-index
1 publications
110 citations

Yokohama National University
Yokohama, Japan
1 h-index
2 publications
36 citations
1–8 of 10
TVCG · 2 publications · 53 citations
2
h-index
1 publications · 46 citations
1
h-index
1 publications · 25 citations
1
h-index
1 publications · 110 citations
1
h-index
1–4