Scalability In Visualization
Scalability in Visualization is a property of visual representation methods that enables effective rendering, interaction, and interpretation of data as the volume, dimensionality, or complexity of multi-omics datasets increases without degradation in performance or clarity.
10
Publications
420
Citations
35
Authors
21
Institutions
Publications per year
2017–2026
2
Parents
10
Beth Yost, Yonca Haciahmetoglu, Chris North · 2007 · 111 citations
Stephen G. Eick, Alan F. Karr · Journal of Computational and Graphical Statistics · 2002 · 75 citations
Gaëlle Richer, Alexis Pister, Moataz Abdelaal et al. · IEEE Transactions on Visualization and Computer Graphics · 2022 · 44 citations · Full text
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Université Grenoble Alpes
Saint-Martin-d'Hères, France
2 h-index
4 publications
67 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
3 publications
48 citations
Virginia Tech
Blacksburg, United States
2 h-index
5 publications
521 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
142 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
3 publications
45 citations
Laboratoire Interdisciplinaire des Sciences du Numérique
Gif-sur-Yvette, France
1 h-index
3 publications
132 citations

Zhejiang University
Hangzhou, China
1 h-index
2 publications
40 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
3 publications
132 citations
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TVCG · 3 publications · 158 citations
3
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JCGS · 1 publications · 75 citations
1
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Repository · 1 publications · 15 citations
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