Data-driven Visualization
Data-Driven Visualization is a generative visual system that synthesizes visual representations through algorithmic processes directly informed by empirical data inputs, distinguishing itself from rule-based or manually designed visualization approaches by its reliance on data as the primary driver of visual form and structure.
155
Publications
10.6K
Citations
482
Authors
194
Institutions
Publications per year
2017–2026
66
Parents
155
Making data visualization more efficient and effective: a survey
Xuedi Qin, Yuyu Luo, Nan Tang et al. · The VLDB Journal · 2019 · 246 citations
DeepEye: Towards Automatic Data Visualization
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482
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h-index
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194
Tsinghua University
Beijing, China
6 h-index
14 publications
1.8K citations
Stanford University
Stanford, United States
6 h-index
10 publications
10.3K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
8 publications
532 citations
Microsoft (United States)
Redmond, United States
5 h-index
10 publications
506 citations
University of Washington
Seattle, United States
4 h-index
10 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
4 h-index
6 publications
290 citations
University of Konstanz
Konstanz, Germany
4 h-index
13 publications
321 citations
University of California, Davis
Davis, United States
4 h-index
8 publications
538 citations
1–8 of 194
TVCG · 21 publications · 4.7K citations
20
h-index
Repository · 4 publications · 107 citations
4
h-index
3 publications · 69 citations
3
h-index
2 publications · 39 citations
2
h-index
2 publications · 51 citations
2
h-index
1–5