Quality Scoring Models

Quality Scoring Models is a computational framework that belongs to the class of predictive modeling techniques and is specifically distinguished by its purpose of quantifying wine quality through systematic integration of physicochemical properties and sensory descriptors.

52

Publications

2.1K

Citations

191

Authors

87

Institutions

Publications per year

2017–2026

20

Authors

191

  1. MA
    Margaret A. Cliff

    Agriculture and Agri-Food Canada, Canada

    2 publications · 47 citations

    2

    h-index

  2. MK
    Marjorie King

    Agriculture and Agri-Food Canada, Canada

    2 publications · 47 citations

    2

    h-index

  3. VL
    Vernon L. Singleton

    University of California, Davis, United States

    1 publications · 44 citations

    1

    h-index

  4. AB
    Adel Bakhshipour

    University of Guilan, Iran

    1 publications · 44 citations

    1

    h-index

  5. CL
    Charalampos Litos

    Technical University of Crete, Greece

    1 publications · 26 citations

    1

    h-index

1–5 of 191

Venues

  1. Journal of Sensory Studies

    3 publications · 119 citations

    3

    h-index

  2. Journal of Wine Economics

    3 publications · 57 citations

    3

    h-index

  3. Information and Software Technology

    2 publications · 97 citations

    2

    h-index

  4. Computers in Industry

    2 publications · 55 citations

    2

    h-index

  5. Journal of Wine Research

    2 publications · 51 citations

    2

    h-index

1–5