Multidimensional Unfolding

Multidimensional Unfolding is a multidimensional scaling technique that represents preferences or similarities between a set of individuals and a set of stimuli in a joint geometric space by modeling the dissimilarities as distances in a low-dimensional configuration.

83

Publications

9.4K

Citations

171

Authors

92

Institutions

Publications per year

2017–2026

13

Variants

Multidimensional Preference Scaling

Authors

171

  1. WS
    Wayne S. DeSarbo

    Pennsylvania State University, United States

    10 publications · 624 citations

    10

    h-index

  2. PJ
    Patrick J. F. Groenen

    Erasmus University Rotterdam, Netherlands

    3 publications · 1.9K citations

    3

    h-index

  3. RM
    Rudolf M. Dünki

    University of Zurich, Switzerland

    3 publications · 72 citations

    3

    h-index

  4. GB
    Gary Bruno Schmid

    University of Duisburg-Essen, Germany

    3 publications · 72 citations

    3

    h-index

  5. KV
    Katrijn Van Deun

    KU Leuven, Belgium

    3 publications · 249 citations

    3

    h-index

1–5 of 171

Venues

  1. Psychometrika

    10 publications · 791 citations

    10

    h-index

  2. Journal of Marketing Research

    6 publications · 308 citations

    6

    h-index

  3. Journal of Statistical Software

    JSS · 3 publications · 607 citations

    3

    h-index

  4. Journal of Mathematical Psychology

    3 publications · 160 citations

    3

    h-index

  5. Multivariate Behavioral Research

    MBR · 3 publications · 78 citations

    3

    h-index

1–5