Multivariate Calibration

Multivariate Calibration is a statistical modeling technique that establishes a quantitative relationship between multivariate spectral data and reference measurements by simultaneously analyzing multiple correlated variables to predict analyte concentrations or sample properties.

1.4K

Publications

76.2K

Citations

3.4K

Authors

995

Institutions

Publications per year

2017–2026

230

Authors

3.4K

  1. AC
    Alejandro C. Olivieri

    National University of Rosario, Argentina

    60 publications · 4K citations

    32

    h-index

  2. RJ
    Ronei J. Poppi

    Universidade Estadual de Campinas (UNICAMP), Brazil

    32 publications · 1.9K citations

    23

    h-index

  3. HC
    Héctor C. Goicoechea

    Universidad Nacional del Litoral, Argentina

    28 publications · 1.8K citations

    22

    h-index

  4. BR
    Bruce R. Kowalski

    University of Washington, United States

    25 publications · 2.8K citations

    22

    h-index

  5. AR
    Abdul Rohman

    Universitas Gadjah Mada, Indonesia

    31 publications · 1K citations

    21

    h-index

1–5 of 3.4K

Venues

  1. Analytical Chemistry

    104 publications · 9.6K citations

    50

    h-index

  2. Analytica Chimica Acta

    101 publications · 7.1K citations

    43

    h-index

  3. Journal of Chemometrics

    101 publications · 8.2K citations

    43

    h-index

  4. Chemometrics and Intelligent Laboratory Systems

    85 publications · 7.3K citations

    40

    h-index

  5. Applied Spectroscopy

    92 publications · 5.5K citations

    38

    h-index

1–5