Visual Inference
Visual Inference is a methodological framework within statistical visualization that enables the drawing of probabilistic conclusions about data patterns through systematic evaluation of visual displays, distinguishing itself from traditional statistical inference by grounding inferential validity in human perception of graphical representations rather than purely mathematical models.
221
Publications
13.5K
Citations
560
Authors
287
Institutions
Publications per year
2017–2026
92
221
<i>Visual Explanations: Images and Quantities, Evidence and Narrative</i>
Edward R. Tufte, Susan R. McKay, Wolfgang Christian et al. · Computers in Physics · 1998 · 909 citations · Full text
1–5 of 221
560
6
h-index
6
h-index
4
h-index
3
h-index
3
h-index
1–5 of 560
287
Carnegie Mellon University
Pittsburgh, United States
7 h-index
11 publications
690 citations

Cornell University
Ithaca, United States
6 h-index
11 publications
211 citations
Iowa State University
Ames, United States
6 h-index
12 publications
719 citations
University of Michigan
Ann Arbor, United States
5 h-index
7 publications
847 citations
Columbia University
New York, United States
5 h-index
10 publications
716 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
9 publications
468 citations
University of Washington
Seattle, United States
5 h-index
9 publications
1K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
546 citations
1–8 of 287
TVCG · 14 publications · 983 citations
14
h-index
Repository · 10 publications · 364 citations
10
h-index
6 publications · 952 citations
6
h-index
5 publications · 299 citations
5
h-index
4 publications · 99 citations
4
h-index
1–5