Similarity Matrix Analysis
Similarity Matrix Analysis is a methodological framework in which pairwise textual or categorical similarities derived from card sorting or text similarity analysis are systematically organized into a matrix representation to enable the identification of clustering patterns, structural relationships, or consensus across participants or documents.
875
Publications
53.5K
Citations
2.8K
Authors
965
Institutions
Publications per year
2017–2026
291
875
A General Coefficient of Similarity and Some of Its Properties
J. C. Gower · Biometrics · 1971 · 5.2K citations
Liisa Holm, Laura Laakso · Nucleic Acids Research · 2016 · 939 citations · Full text
1–5 of 875
2.8K
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University of North Carolina at Chapel Hill, United States
5 publications · 376 citations
5
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1–5 of 2.8K
965

Northwestern Polytechnical University
Xi'an, China
20 h-index
60 publications
4.6K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
23 publications
796 citations
Shandong University
Jinan, China
11 h-index
34 publications
1.6K citations

Sun Yat-sen University
Guangzhou, China
10 h-index
24 publications
975 citations
Tsinghua University
Beijing, China
10 h-index
22 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
19 publications
782 citations
Wuhan University
Wuhan, China
9 h-index
22 publications
807 citations
University of Southern California
Los Angeles, United States
8 h-index
17 publications
2.2K citations
1–8 of 965
Conference · 13 publications · 790 citations
12
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TKDE · 12 publications · 584 citations
12
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12 publications · 2K citations
12
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Repository · 13 publications · 409 citations
12
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12 publications · 315 citations
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