Information Density Comparison
Information Density Comparison is a visualization evaluation metric that quantifies the amount of relevant information conveyed per unit of visual space across different visualization designs, distinguishing itself by focusing on the efficiency of information transmission relative to visual complexity.
27
Publications
1.3K
Citations
71
Authors
34
Institutions
Publications per year
2017–2026
9
Parents
27
1–5 of 27
71
University of California, Santa Cruz, United States
2 publications · 283 citations
2
h-index
2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 40 citations
2
h-index
2
h-index
1
h-index
1–5 of 71
34

Universitat Pompeu Fabra
Barcelona, Spain
2 h-index
2 publications
42 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
40 citations

UNSW Sydney
Sydney, Australia
2 h-index
2 publications
99 citations
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
8 publications
909 citations

University of Warsaw
Warsaw, Poland
1 h-index
1 publications
37 citations
Louisiana State University
Baton Rouge, United States
1 h-index
1 publications
28 citations

University of British Columbia
Vancouver, Canada
1 h-index
3 publications
63 citations
University College London
London, United Kingdom
1 h-index
1 publications
37 citations
1–8 of 34
2 publications · 50 citations
2
h-index
TVCG · 2 publications · 274 citations
2
h-index
1 publications · 12 citations
1
h-index
Conference · 1 publications · 17 citations
1
h-index
1 publications · 124 citations
1
h-index
1–5