Multidimensional Segmentation
Multidimensional Segmentation is a segmentation framework that classifies users based on multiple interdependent dimensions of usage behavior, thereby enabling a more nuanced and comprehensive categorization than single-dimension approaches.
20
Publications
787
Citations
65
Authors
42
Institutions
Publications per year
2017–2026
3
Parents
20
1–5 of 20
65
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 65
42
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
304 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
5 publications
220 citations

The Francis Crick Institute
London, United Kingdom
1 h-index
2 publications
28 citations
City University of New York
New York, United States
1 h-index
1 publications
21 citations
New York State Department of Health
Albany, United States
1 h-index
4 publications
120 citations
University of Iowa
Iowa City, United States
1 h-index
4 publications
84 citations

University of Jyväskylä
Jyväskylä, Finland
1 h-index
3 publications
36 citations
Rensselaer Polytechnic Institute
Troy, United States
1 h-index
3 publications
90 citations
1–8 of 42
2 publications · 71 citations
2
h-index
1 publications · 21 citations
1
h-index
1 publications · 12 citations
1
h-index
Repository · 1 publications · 15 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5