Concepedia

Device Segmentation

Device Segmentation is a visitor segmentation method that classifies users based on the type, characteristics, and usage patterns of the digital devices they employ to interact with a platform or service.

2

Publications

42

Citations

10

Authors

4

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

10

  1. CM
    Charles M. Strother

    University of Wisconsin–Madison, United States

    1 publications · 12 citations

    1

    h-index

  2. YY
    Yu Yang

    Chongqing University, China

    1 publications · 30 citations

    1

    h-index

  3. HZ
    Hui Zhao

    Chongqing University, China

    1 publications · 30 citations

    1

    h-index

  4. SS
    Sebastian Schäfer

    Johns Hopkins University, United States

    1 publications · 12 citations

    1

    h-index

  5. MG
    Martin G. Wagner

    University of Wisconsin–Madison, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 10

Institutions

4

  1. Changhai Hospital

    Shanghai, China

    1 h-index

    1 publications

    12 citations

  2. Second Military Medical University

    Shanghai, China

    1 h-index

    1 publications

    12 citations

  3. Chongqing University

    Chongqing, China

    1 h-index

    5 publications

    150 citations

  4. University of Wisconsin–Madison

    Madison, United States

    1 h-index

    4 publications

    48 citations

1–4 of 4

Venues

  1. Sensors

    1 publications · 30 citations

    1

    h-index

  2. Medical Physics

    1 publications · 12 citations

    1

    h-index

1–2