Multivariate Sensory Analysis

Multivariate Sensory Analysis is a statistical methodology used in product profiling that simultaneously examines multiple sensory attributes of products to distinguish perceptual differences and similarities, thereby enabling the characterization of complex sensory data structures derived from human sensory panels.

277

Publications

13.8K

Citations

996

Authors

343

Institutions

Publications per year

2017–2026

77

Authors

996

  1. TN
    Tormod Næs

    Nofima, Norway

    9 publications · 481 citations

    9

    h-index

  2. FH
    François Husson

    Institut Agro Rennes-Angers, France

    8 publications · 550 citations

    8

    h-index

  3. EM
    El Mostafa Qannari

    Institut National Polytechnique de Toulouse, France

    8 publications · 257 citations

    8

    h-index

  4. PB
    Per B. Brockhoff

    Technical University of Denmark, Denmark

    5 publications · 387 citations

    5

    h-index

  5. OT
    Oliver Tomić

    Norwegian University of Life Sciences, Norway

    4 publications · 250 citations

    4

    h-index

1–5 of 996

Venues

  1. Food Quality and Preference

    49 publications · 2.6K citations

    30

    h-index

  2. Food Chemistry

    18 publications · 1.6K citations

    17

    h-index

  3. Journal of Sensory Studies

    17 publications · 551 citations

    14

    h-index

  4. Journal of the Science of Food and Agriculture

    14 publications · 512 citations

    11

    h-index

  5. 7

    h-index

1–5