Digital Segmentation

Digital Segmentation is a retail segmentation method that classifies consumers based on their digital behaviors, interactions, and preferences within online environments, distinguishing it from traditional segmentation approaches by its exclusive reliance on digitally traceable data.

54

Publications

2.6K

Citations

177

Authors

86

Institutions

Publications per year

2017–2026

25

Authors

177

  1. RJ
    Ramesh Jain

    University of California, Irvine, United States

    2 publications · 454 citations

    2

    h-index

  2. NZ
    Nan Zheng

    Minzu University of China, China

    2 publications · 68 citations

    2

    h-index

  3. RZ
    Rui Zheng

    University of Alberta, Canada

    2 publications · 68 citations

    2

    h-index

  4. AH
    Arun Hampapur

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 454 citations

    2

    h-index

  5. WS
    Wei Song

    Minzu University of China, China

    2 publications · 68 citations

    2

    h-index

1–5 of 177

Venues

  1. IEEE Access

    3 publications · 124 citations

    3

    h-index

  2. Health Education & Behavior

    HEB · 1 publications · 32 citations

    1

    h-index

  3. ANZ Journal of Surgery

    1 publications · 23 citations

    1

    h-index

  4. Multimedia Signal Processing

    Conference · 1 publications · 12 citations

    1

    h-index

  5. Journal of Enterprise Information Management

    1 publications · 24 citations

    1

    h-index

1–5