Hierarchical Data Exploration
Hierarchical Data Exploration is a visual data exploration paradigm that organizes and navigates data through nested structures, enabling users to interactively traverse and analyze relationships across multiple levels of abstraction within hierarchical datasets.
77
Publications
4.4K
Citations
256
Authors
121
Institutions
Publications per year
2017–2026
19
77
Visualization of large hierarchical data by circle packing
Weixin Wang, Hui Wang, Guozhong Dai et al. · 2006 · 175 citations
Visualizing digital library search results with categorical and hierarchical axes
Ben Shneiderman, David Feldman, Anne C. Rose et al. · 2000 · 160 citations · Full text
1–5 of 77
256
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h-index
2
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National Center for Supercomputing Applications, United States
2 publications · 33 citations
2
h-index
2
h-index
1–5 of 256
121
University of Maryland, College Park
College Park, United States
5 h-index
15 publications
1.2K citations

TU Wien
Vienna, Austria
3 h-index
10 publications
530 citations
Oregon State University
Corvallis, United States
3 h-index
12 publications
2K citations
Horticultural Crops Research Laboratory
Corvallis, United States
2 h-index
2 publications
893 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
2 h-index
2 publications
37 citations
University of Stuttgart
Stuttgart, Germany
2 h-index
3 publications
76 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
2 h-index
4 publications
203 citations
Tianjin University
Tianjin, China
2 h-index
6 publications
142 citations
1–8 of 121
TVCG · 21 publications · 1.3K citations
17
h-index
2 publications · 128 citations
2
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Repository · 2 publications · 36 citations
2
h-index
2 publications · 77 citations
2
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Repository · 2 publications · 112 citations
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