Multimodal Spatial Representation

Multimodal Spatial Representation is a spatial representation method that integrates and aligns heterogeneous data modalities—such as visual, linguistic, geometric, or sensory inputs—within a shared spatial framework to enable richer, contextually grounded modeling of spatial environments.

40

Publications

2.9K

Citations

103

Authors

58

Institutions

Publications per year

2017–2026

9

Authors

103

  1. PJ
    Peter J. Brown

    University of Liverpool, United Kingdom

    2 publications · 78 citations

    2

    h-index

  2. JD
    Jon Driver

    University College London, United Kingdom

    2 publications · 211 citations

    2

    h-index

  3. NA
    Nicholas A. Giudice

    University of Maine, United States

    2 publications · 53 citations

    2

    h-index

  4. CF
    Chris Frith

    University College London, United Kingdom

    2 publications · 211 citations

    2

    h-index

  5. IM
    Ian Masser

    University of Sheffield, United Kingdom

    2 publications · 78 citations

    2

    h-index

1–5 of 103

Venues

  1. Journal of Cognitive Neuroscience

    2 publications · 286 citations

    2

    h-index

  2. Spatial Cognition and Computation

    2 publications · 124 citations

    2

    h-index

  3. Memory & Cognition

    2 publications · 82 citations

    2

    h-index

  4. Papers of the Regional Science Association

    2 publications · 78 citations

    2

    h-index

  5. Lirias (KU Leuven)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5