Hierarchical Spatial Representation
Hierarchical Spatial Representation is a spatial knowledge representation framework that organizes spatial entities or relationships in a multi-level structure where higher levels abstract or aggregate information from lower levels, enabling efficient reasoning and navigation through inclusion, containment, or scale-based differentiation.
155
Publications
10.9K
Citations
443
Authors
222
Institutions
Publications per year
2017–2026
35
155
The Spatial Semantic Hierarchy
Benjamin Kuipers · Artificial Intelligence · 2000 · 723 citations
Computing, Geography, Geoinformatics +12
A rapid hierarchical radiosity algorithm
Pat Hanrahan, David Salzman, Larry Aupperle · 1991 · 519 citations
Computing, High-performance Computing, Computational Geometry +15
Stephen M. Kosslyn, Olivier Koenig, Anna M. Barrett et al. · Journal of Experimental Psychology Human Perception & Performance · 1989 · 447 citations
1–5 of 155
443
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222

The University of Melbourne
Melbourne, Australia
7 h-index
14 publications
476 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
1.9K citations

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
4 publications
296 citations
Tsinghua University
Beijing, China
4 h-index
10 publications
388 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
6 publications
92 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
5 publications
213 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
3 h-index
6 publications
248 citations

University of Minnesota
Minneapolis, United States
3 h-index
8 publications
300 citations
1–8 of 222
6 publications · 959 citations
6
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3 publications · 526 citations
3
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3 publications · 199 citations
3
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3 publications · 179 citations
3
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3 publications · 500 citations
3
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1–5