Multivariate Chemometrics

Multivariate Chemometrics is a statistical and mathematical methodology that analyzes complex chemical data sets with multiple variables to identify patterns, classify origins, and quantify relationships in the authentication of olive oil and other geographical origin studies.

719

Publications

60.9K

Citations

2.8K

Authors

900

Institutions

Publications per year

2017–2026

299

Authors

2.8K

  1. RT
    Romá Tauler

    Institute of Environmental Assessment and Water Research, Spain

    16 publications · 1.7K citations

    15

    h-index

  2. RB
    Rasmus Bro

    University of Copenhagen, Denmark

    14 publications · 4.3K citations

    14

    h-index

  3. BH
    Bahram Hemmateenejad

    Shiraz University, Iran

    11 publications · 394 citations

    11

    h-index

  4. SW
    Svante Wold

    Umeå University, Sweden

    11 publications · 12.8K citations

    11

    h-index

  5. SK
    Serge Kokot

    Queensland University of Technology, Australia

    10 publications · 565 citations

    10

    h-index

1–5 of 2.8K

Venues

  1. Journal of Chemometrics

    47 publications · 5.7K citations

    27

    h-index

  2. Food Chemistry

    26 publications · 1.7K citations

    23

    h-index

  3. Chemometrics and Intelligent Laboratory Systems

    26 publications · 10.7K citations

    19

    h-index

  4. Talanta

    24 publications · 1.3K citations

    19

    h-index

  5. Analytica Chimica Acta

    19 publications · 1.2K citations

    18

    h-index

1–5