Multivariate Process Optimization

Multivariate Process Optimization is a systematic methodology within cycle optimization that integrates multiple interdependent variables and performance criteria to identify optimal operating conditions through coordinated adjustment and analysis of process parameters.

224

Publications

10.3K

Citations

769

Authors

305

Institutions

Publications per year

2017–2026

83

Authors

769

  1. JF
    John F. MacGregor

    McMaster University, Canada

    7 publications · 1.7K citations

    7

    h-index

  2. RJ
    Ricardo J. Cassella

    Universidade Federal Fluminense, Brazil

    6 publications · 245 citations

    6

    h-index

  3. SL
    Sérgio L.C. Ferreira

    Universidade Federal da Bahia, Brazil

    6 publications · 380 citations

    6

    h-index

  4. AP
    Anderson Paulo de Paiva

    Universidade Federal de Itajubá, Brazil

    4 publications · 114 citations

    4

    h-index

  5. SC
    Shankar Chakraborty

    Jadavpur University, India

    4 publications · 157 citations

    4

    h-index

1–5 of 769

Venues

  1. Talanta

    12 publications · 360 citations

    12

    h-index

  2. Microchemical Journal

    11 publications · 481 citations

    11

    h-index

  3. Computers & Chemical Engineering

    9 publications · 604 citations

    9

    h-index

  4. Analytica Chimica Acta

    7 publications · 334 citations

    7

    h-index

  5. Food Chemistry

    7 publications · 260 citations

    7

    h-index

1–5