Statistical Shape Analysis
Statistical Shape Analysis is a formal methodology within shape analysis that employs statistical inference to model and quantify geometric variability in shapes, distinguishing itself by its focus on probabilistic descriptions and population-level shape characteristics.
754
Publications
49.5K
Citations
2.5K
Authors
937
Institutions
Publications per year
2017–2026
236
Parents
754
Advances in Geometric Morphometrics
Philipp Mitterœcker, Philipp Gunz · Evolutionary Biology · 2009 · 1.3K citations · Full text
1–5 of 754
2.5K
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University of North Carolina at Chapel Hill, United States
18 publications · 2.4K citations
15
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15
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13
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13
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1–5 of 2.5K
937

University of Manchester
Manchester, United Kingdom
20 h-index
67 publications
6.2K citations

Imperial College London
London, United Kingdom
17 h-index
61 publications
6.5K citations

Delft University of Technology
Delft, The Netherlands
17 h-index
44 publications
1.9K citations
University College London
London, United Kingdom
17 h-index
106 publications
4.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
16 h-index
78 publications
6.6K citations
KU Leuven
Leuven, Belgium
16 h-index
72 publications
4.8K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
42 publications
1.4K citations
Erasmus MC
Rotterdam, The Netherlands
15 h-index
59 publications
2.8K citations
1–8 of 937
38 publications · 5.6K citations
30
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22 publications · 1.8K citations
18
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35 publications · 927 citations
17
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LNCS · Book series · 20 publications · 576 citations
15
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TPAMI · 14 publications · 4.2K citations
14
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