Cohort Visualization
Cohort Visualization is a data visualization method that specifically enables the representation and comparative analysis of patient or subject groups sharing defined clinical characteristics or longitudinal health trajectories within biomedical research.
21
Publications
580
Citations
97
Authors
46
Institutions
Publications per year
2017–2026
10
Parents
21
Iterative cohort analysis and exploration
Zhiyuan Zhang, David Gotz, Adam Perer · Information Visualization · 2014 · 64 citations
High-Volume Hypothesis Testing
Sana Malik, Ben Shneiderman, Fan Du et al. · ACM Transactions on Interactive Intelligent Systems · 2016 · 38 citations
1–5 of 21
97
Fraunhofer Institute for Computer Graphics Research, Germany
2 publications · 62 citations
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 97
46
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
5 publications
172 citations
Taipei Medical University
Taipei, Taiwan
2 h-index
12 publications
280 citations
University of California, Davis
Davis, United States
2 h-index
5 publications
82 citations
Fraunhofer Institute for Computer Graphics Research
Darmstadt, Germany
2 h-index
9 publications
261 citations
University of Utah
Salt Lake City, United States
2 h-index
9 publications
267 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
236 citations

Technische Universität Darmstadt
Darmstadt, Germany
1 h-index
1 publications
13 citations
Taipei Medical University Hospital
Taipei, Taiwan
1 h-index
1 publications
26 citations
1–8 of 46
TVCG · 3 publications · 134 citations
3
h-index
1 publications · 64 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 51 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5