Data Painting is a data visualization method that transforms datasets into visual artworks by applying aesthetic principles and artistic techniques to the direct representation of data, distinguishing it from other data visualization methods through its emphasis on expressive, non-instrumental, and culturally resonant visual forms.
6
Publications
301
Citations
9
Authors
10
Institutions
Publications per year
2017–2026
2
Parents
Publications
6
Predictive painting of 3D seismic volumes
Sergey Fomel · Geophysics · 2010 · 185 citations
Judith Donath, Alex Dragulescu, Aaron Zinman et al. · 2010 · 26 citations
1–5 of 6
Authors
9
- AD
2
h-index
- AZ
2
h-index
- FV
2
h-index
- JD
2
h-index
- RX
2
h-index
1–5 of 9
Institutions
10
Dana-Farber/Harvard Cancer Center
Boston, United States
2 h-index
2 publications
40 citations
Cambridge Scientific (United States)
Watertown, United States
1 h-index
1 publications
26 citations
University of Minnesota
Minneapolis, United States
1 h-index
1 publications
38 citations
Rogers (United States)
Windham, United States
1 h-index
1 publications
14 citations
Gonzaga University
Spokane, United States
1 h-index
1 publications
38 citations
University of Minnesota System
Minneapolis, United States
1 h-index
1 publications
38 citations
Human Media
Belmont, United States
1 h-index
1 publications
26 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
185 citations
1–8 of 10
Venues
- Panorama
1 publications · 14 citations
1
h-index
- Geophysics
1 publications · 185 citations
1
h-index
- Leonardo
1 publications · 14 citations
1
h-index
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 1 publications · 38 citations
1
h-index
- The Sociological Review
1 publications · 24 citations
1
h-index
1–5