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

Authors

40

  1. SC
    Song Cao

    Cornell University, United States

    2 publications · 171 citations

    2

    h-index

  2. NS
    Noah Snavely

    Cornell University, United States

    2 publications · 171 citations

    2

    h-index

  3. SR
    S. Röricht

    Humboldt-Universität zu Berlin, Germany

    1 publications · 21 citations

    1

    h-index

  4. AM
    Ahmed Mohamed Refaat

    Port Said University, Egypt

    1 publications · 16 citations

    1

    h-index

  5. SG
    Suzana Gavrilović

    University of Belgrade, Serbia

    1 publications · 12 citations

    1

    h-index

1–5 of 40

Venues

  1. Spatial Cognition and Computation

    1 publications · 18 citations

    1

    h-index

  2. UCL Discovery (University College London)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. Ain Shams Engineering Journal

    1 publications · 16 citations

    1

    h-index

  4. Land

    1 publications · 12 citations

    1

    h-index

  5. NeuroImage

    1 publications · 21 citations

    1

    h-index

1–5