Multivariate Data Encoding is a glyph-based visualization technique that integrates multiple data dimensions into a single graphical symbol by systematically mapping variables to distinct visual channels such as shape, color, size, and orientation.
31
Publications
3.4K
Citations
81
Authors
50
Institutions
Publications per year
2017–2026
7
Parents
Publications
31
1–5 of 31
Authors
81
- HC
4
h-index
- VI
3
h-index
- JE
2
h-index
- CG
2
h-index
- MH
2
h-index
1–5 of 81
Institutions
50
Stanford University
Stanford, United States
3 h-index
3 publications
1.7K citations
University of Minnesota
Minneapolis, United States
2 h-index
2 publications
136 citations
Honda (Japan)
Tokyo, Japan
2 h-index
5 publications
664 citations
North Carolina State University
Raleigh, United States
2 h-index
2 publications
275 citations
The Ohio State University
Columbus, United States
1 h-index
2 publications
20 citations
Bernstein Center for Computational Neuroscience Berlin
Berlin, Germany
1 h-index
2 publications
44 citations
Worcester Polytechnic Institute
Worcester, United States
1 h-index
1 publications
265 citations
University of Bergen
Bergen, Norway
1 h-index
2 publications
530 citations
1–8 of 50
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 4 publications · 345 citations
4
h-index
- Journal of the American Statistical Association
4 publications · 1.8K citations
4
h-index
- IEEE Transactions on Image Processing
2 publications · 132 citations
2
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
1 publications · 50 citations
1
h-index
- IEEE Computer Graphics and Applications
1 publications · 65 citations
1
h-index
1–5