Scalable Visualization is a visualization approach in Visual Analytics that maintains perceptual effectiveness, interactivity, and computational performance as data volume, dimensionality, or user/task complexity increase, typically through techniques such as aggregation, multi-resolution representations, and progressive computation.
414
Publications
20.4K
Citations
1.2K
Authors
353
Institutions
Publications per year
2017–2026
92
Publications
414
1–5 of 414
Authors
1.2K
- LR
11
h-index
- JL
11
h-index
- JA
10
h-index
- HC
10
h-index
- KM
10
h-index
1–5 of 1.2K
Institutions
353
University of California, Davis
Davis, United States
16 h-index
32 publications
1.4K citations
University of Utah
Salt Lake City, United States
13 h-index
37 publications
3.6K citations
Oak Ridge National Laboratory
Oak Ridge, United States
13 h-index
44 publications
1.4K citations
Argonne National Laboratory
Lemont, United States
13 h-index
39 publications
2K citations
Los Alamos National Laboratory
Los Alamos, United States
11 h-index
29 publications
1.2K citations
Kitware (United States)
New York, United States
11 h-index
24 publications
1.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
10 h-index
16 publications
1.5K citations
Lawrence Livermore National Laboratory
Livermore, United States
10 h-index
35 publications
2.1K citations
1–8 of 353
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 37 publications · 3.1K citations
26
h-index
- IEEE Computer Graphics and Applications
19 publications · 902 citations
16
h-index
- Computer Graphics Forum
13 publications · 716 citations
12
h-index
- Proceedings of the VLDB Endowment
PVLDB · 8 publications · 392 citations
8
h-index
- Information Visualization
8 publications · 412 citations
8
h-index
1–5