Geospatial Knowledge Graphs

Geospatial Knowledge Graphs is a structured knowledge representation system that integrates geographic entities, spatial relationships, and associated semantic information within a graph-based data model to enable contextual reasoning and intelligent processing in geospatial artificial intelligence.

267

Publications

14K

Citations

945

Authors

377

Institutions

Publications per year

2017–2026

141

Authors

945

  1. GM
    Gengchen Mai

    University of California, Santa Barbara, United States

    10 publications · 527 citations

    10

    h-index

  2. XM
    Xiaogang Ma

    University of Idaho, United States

    7 publications · 493 citations

    7

    h-index

  3. KJ
    Krzysztof Janowicz

    University of California, Santa Barbara, United States

    7 publications · 364 citations

    7

    h-index

  4. YZ
    Yunqiang Zhu

    Institute of Geographic Sciences and Natural Resources Research, China

    7 publications · 307 citations

    7

    h-index

  5. KJ
    Krzysztof Janowicz

    University of California, Santa Barbara, United States

    7 publications · 919 citations

    7

    h-index

1–5 of 945

Venues

  1. Computers & Geosciences

    CAGEO · 20 publications · 1.2K citations

    19

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 15 publications · 427 citations

    12

    h-index

  3. 11

    h-index

  4. Computers Environment and Urban Systems

    10 publications · 375 citations

    10

    h-index

  5. Transactions in GIS

    9 publications · 420 citations

    9

    h-index

1–5