Temporal Data Exploration
Temporal Data Exploration is a method within the field of visual data exploration that enables the analysis of time-varying datasets through interactive visualization and navigation of temporal patterns, sequences, and changes over time.
98
Publications
4.2K
Citations
310
Authors
133
Institutions
Publications per year
2017–2026
17
98
Visualizing time-oriented data—A systematic view
Wolfgang Aigner, Silvia Miksch, Wolfgang Müller et al. · Computers & Graphics · 2007 · 331 citations · Full text
Data exploration of turbulence simulations using a database cluster
Eric Perlman, Randal Burns, Li Yi et al. · 2007 · 262 citations
Adam Fouse, Nadir Weibel, Edwin Hutchins et al. · 2011 · 144 citations
1–5 of 98
310
9
h-index
8
h-index
4
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
4 publications · 99 citations
4
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
4 publications · 99 citations
4
h-index
1–5 of 310
133
Stanford University
Stanford, United States
4 h-index
9 publications
504 citations
University of Maryland, College Park
College Park, United States
4 h-index
13 publications
759 citations

Linköping University
Linköping, Sweden
3 h-index
5 publications
284 citations
New York University
New York, United States
3 h-index
9 publications
452 citations

TU Wien
Vienna, Austria
3 h-index
11 publications
499 citations
Universität für Weiterbildung Krems
Krems, Austria
3 h-index
11 publications
959 citations

Monash University
Melbourne, Australia
3 h-index
8 publications
411 citations

University of Rostock
Rostock, Germany
3 h-index
5 publications
757 citations
1–8 of 133
TVCG · 15 publications · 700 citations
15
h-index
2 publications · 192 citations
2
h-index
2 publications · 62 citations
2
h-index
Conference · 2 publications · 25 citations
2
h-index
2 publications · 32 citations
2
h-index
1–5