Interactive Time-series Exploration
Interactive Time-Series Exploration is a computational framework that enables dynamic, user-driven manipulation and real-time visual analysis of temporal data to facilitate the discovery of patterns, anomalies, and structural relationships through iterative querying, zooming, filtering, and coordinated views.
86
Publications
3.6K
Citations
276
Authors
125
Institutions
Publications per year
2017–2026
24
86
Cluster and calendar based visualization of time series data
Jarke J. van Wijk, E.R. van Selow · 2003 · 411 citations
Baby Names, Visualization, and Social Data Analysis
Martin Wattenberg · 2006 · 124 citations
1–5 of 86
276
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
5 publications · 164 citations
5
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
5 publications · 164 citations
5
h-index
4
h-index
4
h-index
3
h-index
1–5 of 276
125
University of Maryland, College Park
College Park, United States
5 h-index
12 publications
916 citations

Technische Universität Darmstadt
Darmstadt, Germany
4 h-index
6 publications
275 citations

Swansea University
Swansea, United Kingdom
4 h-index
13 publications
988 citations
University of Konstanz
Konstanz, Germany
4 h-index
10 publications
505 citations
Fraunhofer-Gesellschaft
Munich, Germany
4 h-index
11 publications
431 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
5 publications
465 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
5 publications
191 citations

TU Wien
Vienna, Austria
3 h-index
12 publications
172 citations
1–8 of 125
TVCG · 13 publications · 615 citations
13
h-index
4 publications · 60 citations
4
h-index
3 publications · 214 citations
3
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Repository · 3 publications · 305 citations
3
h-index
2 publications · 119 citations
2
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1–5