Graphical Perception is a theoretical construct in visual analytics that specifies the cognitive processes and perceptual principles governing how viewers interpret and derive quantitative information from graphical displays, distinguishing it from other visual variables by focusing on the accuracy and efficiency of human inference from visualized data.
225
Publications
30.7K
Citations
459
Authors
214
Institutions
Publications per year
2017–2026
33
Parents
Publications
225
1–5 of 225
Authors
459
- ER
11
h-index
- WS
9
h-index
- IS
6
h-index
- JH
6
h-index
- DP
5
h-index
1–5 of 459
Institutions
214
University of Michigan
Ann Arbor, United States
6 h-index
13 publications
1.2K citations
University of Toronto
Toronto, Canada
6 h-index
9 publications
739 citations
Virginia Commonwealth University
Richmond, United States
5 h-index
14 publications
250 citations
University of Maine
Orono, United States
5 h-index
10 publications
449 citations
Northwestern University
Evanston, United States
5 h-index
7 publications
823 citations
University of North Carolina at Charlotte
Charlotte, United States
4 h-index
9 publications
239 citations
University of California, Berkeley
Berkeley, United States
4 h-index
7 publications
1.3K citations
AT&T (United States)
Bedminster, United States
4 h-index
6 publications
4.3K citations
1–8 of 214
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 16 publications · 1.6K citations
15
h-index
- Journal of the American Statistical Association
11 publications · 4.8K citations
11
h-index
- Human Factors The Journal of the Human Factors and Ergonomics Society
HFES · 4 publications · 149 citations
4
h-index
- Applied Cognitive Psychology
ACP · 4 publications · 534 citations
4
h-index
- IEEE Computer Graphics and Applications
4 publications · 280 citations
4
h-index
1–5