Drill-down
Drill-Down is an interactive visualization technique that enables hierarchical data exploration by allowing users to navigate from aggregated to more detailed levels of information through sequential refinement of the visual representation.
43
Publications
1.5K
Citations
137
Authors
71
Institutions
Publications per year
2017–2026
11
Variants
Drilldown
43
Brynjar Gretarsson, John O’Donovan, Svetlin Bostandjiev et al. · ACM Transactions on Intelligent Systems and Technology · 2012 · 143 citations
Efficient top- <i>k</i> aggregation of ranked inputs
Nikos Mamoulis, Man Lung Yiu, Kit Hung Cheng et al. · ACM Transactions on Database Systems · 2007 · 106 citations
Selection: 524,288 ways to say "this is interesting"
G.J. Wills · 2002 · 91 citations
1–5 of 43
137
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h-index
4
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4
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University of California, Santa Barbara, United States
1 publications · 143 citations
1
h-index
1
h-index
1–5 of 137
71
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
4 publications
121 citations
Stanford University
Stanford, United States
4 h-index
4 publications
102 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
2 publications
158 citations
Virginia Tech
Blacksburg, United States
2 h-index
2 publications
123 citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
118 citations
University of Konstanz
Konstanz, Germany
2 h-index
2 publications
112 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
143 citations
University of California, Irvine
Irvine, United States
1 h-index
1 publications
143 citations
1–8 of 71
TKDE · 2 publications · 65 citations
2
h-index
TIST · 1 publications · 143 citations
1
h-index
JMIS · 1 publications · 136 citations
1
h-index
TODS · 1 publications · 106 citations
1
h-index
TOCHI · 1 publications · 101 citations
1
h-index
1–5