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

Authors

12K

  1. YH
    Young Hae Choi

    Leiden University, Netherlands

    19 publications · 1.6K citations

    19

    h-index

  2. RV
    Robert Verpoorte

    Leiden University, Netherlands

    18 publications · 1.5K citations

    18

    h-index

  3. GL
    Guilherme Luz Tortorella

    Universidade Federal de Santa Catarina, Brazil

    16 publications · 1.1K citations

    16

    h-index

  4. JF
    John F. MacGregor

    McMaster University, Canada

    18 publications · 4.9K citations

    15

    h-index

  5. WJ
    W. J. Krzanowski

    University of Exeter, United Kingdom

    16 publications · 2.6K citations

    13

    h-index

1–5 of 12K

Venues

  1. Journal of the American Statistical Association

    105 publications · 32K citations

    60

    h-index

  2. Technometrics

    94 publications · 23.9K citations

    51

    h-index

  3. Journal of Agricultural and Food Chemistry

    48 publications · 3.7K citations

    37

    h-index

  4. Journal of Chemometrics

    69 publications · 6.6K citations

    33

    h-index

  5. Biometrics

    56 publications · 99.9K citations

    32

    h-index

1–5