Visual Connectivity Analysis
Visual Connectivity Analysis is a computational method within visibility analysis that quantifies and models the degree and structure of mutual visibility relationships between spatial locations in an environment.
13
Publications
524
Citations
40
Authors
20
Institutions
Publications per year
2017–2026
6
Parents
13
Graph-Based Discriminative Learning for Location Recognition
Song Cao, Noah Snavely · 2013 · 131 citations
On connectivity properties of grayscale pictures
Azriel Rosenfeld · Pattern Recognition · 1983 · 113 citations
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University of Belgrade
Belgrade, Serbia
2 h-index
6 publications
88 citations

Cornell University
Ithaca, United States
2 h-index
4 publications
342 citations
Foster and Partners (United Kingdom)
London, United Kingdom
2 h-index
8 publications
108 citations

University of Novi Sad
Novi Sad, Serbia
1 h-index
1 publications
12 citations
New York Psychoanalytic Society and Institute
New York, United States
1 h-index
1 publications
60 citations

Columbia University Irving Medical Center
New York, United States
1 h-index
7 publications
420 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
1 h-index
6 publications
126 citations
Columbia University
New York, United States
1 h-index
2 publications
120 citations
1–8 of 20
1 publications · 18 citations
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Repository · 1 publications · 16 citations
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1 publications · 16 citations
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1 publications · 12 citations
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1 publications · 21 citations
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