Data Reduction For Visualization
Data Reduction for Visualization is a systematic method within visual computing that reduces the volume or complexity of datasets while preserving salient features relevant to visualization, thereby enabling efficient rendering and interactive exploration of large-scale data.
46
Publications
2.5K
Citations
144
Authors
85
Institutions
Publications per year
2017–2026
15
Parents
46
<i>imMens</i>: Real‐time Visual Querying of Big Data
Zhicheng Liu, Biye Jiang, Jeffrey Heer · Computer Graphics Forum · 2013 · 318 citations
Visualization-aware sampling for very large databases
Yongjoo Park, Michael Cafarella, Barzan Mozafari · 2016 · 116 citations
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Laboratoire d'Informatique de Paris-Nord
Villetaneuse, France
2 h-index
4 publications
176 citations
Lancaster University
Lancaster, United Kingdom
2 h-index
2 publications
413 citations

NSF National Center for Atmospheric Research
Boulder, United States
2 h-index
4 publications
184 citations
University of Oregon
Eugene, United States
2 h-index
6 publications
276 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
340 citations
Bielefeld University
Bielefeld, Germany
2 h-index
5 publications
221 citations
University Hospital Magdeburg
Magdeburg, Germany
1 h-index
2 publications
144 citations
Virginia Tech
Blacksburg, United States
1 h-index
6 publications
246 citations
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TVCG · 5 publications · 667 citations
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4 publications · 439 citations
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1 publications · 39 citations
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1 publications · 58 citations
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1 publications · 15 citations
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