Generative Data Visualization
Generative Data Visualization is a computational method that belongs to the broader class of data visualization techniques, distinguished by its capacity to algorithmically produce visual forms through generative processes informed by data inputs.
19
Publications
909
Citations
68
Authors
28
Institutions
Publications per year
2017–2026
7
Parents
19
Generative AI for visualization: State of the art and future directions
Yilin Ye, Jianing Hao, Yihan Hou et al. · Visual Informatics · 2024 · 106 citations · Full text
Generating Color Palettes using Intuitive Parameters
Martijn Wijffelaars, Roel Vliegen, Jarke J. van Wijk et al. · Computer Graphics Forum · 2008 · 79 citations · Full text
Héléna A. Gaspar, Gilles Marcou, Dragos Horvath et al. · Journal of Chemical Information and Modeling · 2013 · 60 citations
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28

Aston University
Birmingham, United Kingdom
4 h-index
9 publications
472 citations
Université de Strasbourg
Strasbourg, France
4 h-index
15 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
11 publications
970 citations
University of Hertfordshire
Hatfield, United Kingdom
2 h-index
2 publications
45 citations
Frumkin Institute of Physical Chemistry and Electrochemistry
Moscow, Russia
2 h-index
3 publications
175 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
4 publications
90 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
5 publications
398 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
1 publications
26 citations
1–8 of 28
JCIM · 2 publications · 117 citations
2
h-index
2 publications · 170 citations
2
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1 publications · 46 citations
1
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1 publications · 20 citations
1
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TPAMI · 1 publications · 97 citations
1
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