Multivariate Data Analysis
Multivariate Data Analysis is a statistical methodology that distinguishes itself by simultaneously analyzing multiple variables to uncover underlying patterns, correlations, and structures within complex datasets, particularly in the context of process monitoring and optimization in Process Analytical Chemistry.
4K
Publications
638.8K
Citations
12K
Authors
3.2K
Institutions
Publications per year
2017–2026
1.1K
Variants
Mva
Parents
4K
The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
Nonlinear Dimensionality Reduction by Locally Linear Embedding
Sam T. Roweis, Lawrence K. Saul · Science · 2000 · 15K citations
1–5 of 4K
12K
19
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18
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Universidade Federal de Santa Catarina, Brazil
16 publications · 1.1K citations
16
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15
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13
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1–5 of 12K
3.2K

Centre National de la Recherche Scientifique
Paris, France
29 h-index
124 publications
11.3K citations
Leiden University
Leiden, The Netherlands
24 h-index
113 publications
11.4K citations

Umeå University
Umeå, Sweden
23 h-index
129 publications
10.8K citations
Harvard University
Cambridge, United States
20 h-index
52 publications
6K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
96 publications
4.8K citations

Uppsala University
Uppsala, Sweden
20 h-index
56 publications
3.1K citations

Pennsylvania State University
State College, United States
20 h-index
43 publications
7.1K citations

Imperial College London
London, United Kingdom
19 h-index
65 publications
6.4K citations
1–8 of 3.2K
105 publications · 32K citations
60
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94 publications · 23.9K citations
51
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48 publications · 3.7K citations
37
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69 publications · 6.6K citations
33
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56 publications · 99.9K citations
32
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