Topological Data Model
A Topological Data Model is a spatial data model that represents geographic features by explicitly encoding the spatial relationships among them, such as adjacency, connectivity, and containment, based on topological principles rather than precise geometric coordinates.
230
Publications
12.3K
Citations
619
Authors
326
Institutions
Publications per year
2017–2026
91
Parents
230
Gunnar Carlsson · Bulletin of the American Mathematical Society · 2009 · 2.3K citations · Full text
A roadmap for the computation of persistent homology
Nina Otter, Mason A. Porter, Ulrike Tillmann et al. · EPJ Data Science · 2017 · 761 citations · Full text
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326

Delft University of Technology
Delft, The Netherlands
8 h-index
17 publications
486 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
7 publications
312 citations
Wuhan University
Wuhan, China
5 h-index
19 publications
528 citations
Institute for Scientific Interchange
Turin, Italy
5 h-index
12 publications
742 citations
University of Technology Malaysia
Johor Bahru, Malaysia
5 h-index
12 publications
338 citations
University of California, Berkeley
Berkeley, United States
4 h-index
8 publications
334 citations
Stanford University
Stanford, United States
4 h-index
6 publications
2.6K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
6 publications
110 citations
1–8 of 326
Repository · 8 publications · 585 citations
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IJGI · 6 publications · 104 citations
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6 publications · 259 citations
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6 publications · 224 citations
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6 publications · 170 citations
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