Distance-based Segmentation

Distance-Based Segmentation is a geographic segmentation method that partitions markets or regions based on proximity to a central location, distinguished from other methods by its reliance on physical or spatial distance as the primary criterion for division.

24

Publications

1.2K

Citations

86

Authors

38

Institutions

Publications per year

2017–2026

7

Authors

86

  1. LB
    L.M. Bruce

    Mississippi State University, United States

    2 publications · 45 citations

    2

    h-index

  2. JE
    John E. Ball

    Mississippi State University, United States

    2 publications · 45 citations

    2

    h-index

  3. KG
    Karol Gotkowski

    Technische Universität Darmstadt, Germany

    1 publications · 48 citations

    1

    h-index

  4. AA
    Aris Anagnostopoulos

    Sapienza University of Rome, Italy

    1 publications · 88 citations

    1

    h-index

  5. MB
    M. Beauchemin

    Université de Montréal, Canada

    1 publications · 93 citations

    1

    h-index

1–5 of 86

Venues

  1. Applied Intelligence

    1 publications · 18 citations

    1

    h-index

  2. Journal of Quantitative Analysis in Sports

    1 publications · 30 citations

    1

    h-index

  3. Journal of Glaciology

    1 publications · 48 citations

    1

    h-index

  4. Journal of Biomedical Optics

    1 publications · 355 citations

    1

    h-index

  5. Journal of Pattern Recognition Research

    JPRR · 1 publications · 11 citations

    1

    h-index

1–5