Spatial Relationship Encoding

Spatial Relationship Encoding is a methodological framework in spatial network visualization that specifies how topological and geometric relationships between spatial entities are systematically represented and preserved within a visual or computational model.

45

Publications

4.5K

Citations

117

Authors

66

Institutions

Publications per year

2017–2026

17

Authors

117

  1. CF
    Christopher F. Chabris

    Harvard University, United States

    6 publications · 512 citations

    6

    h-index

  2. SM
    Stephen M. Kosslyn

    Harvard University, United States

    6 publications · 512 citations

    6

    h-index

  3. CJ
    Chad J. Marsolek

    University of Minnesota, United States

    4 publications · 450 citations

    4

    h-index

  4. OK
    Olivier Koenig

    Université Claude Bernard Lyon 1, France

    3 publications · 428 citations

    3

    h-index

  5. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    2 publications · 1.3K citations

    2

    h-index

1–5 of 117

Venues

  1. 4

    h-index

  2. IEEE Transactions on Multimedia

    1 publications · 18 citations

    3

    h-index

  3. PeerJ Computer Science

    1 publications · 21 citations

    1

    h-index

  4. eLife

    1 publications · 416 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 1.1K citations

    1

    h-index

1–5