Multidimensional Segmentation

Multidimensional Segmentation is a segmentation framework that classifies users based on multiple interdependent dimensions of usage behavior, thereby enabling a more nuanced and comprehensive categorization than single-dimension approaches.

20

Publications

787

Citations

65

Authors

42

Institutions

Publications per year

2017–2026

3

Authors

65

  1. CL
    Chunmei Lu

    Children's Hospital of Fudan University, China

    2 publications · 105 citations

    2

    h-index

  2. NF
    Nicola Ferrier

    University of Wisconsin–Madison, United States

    2 publications · 105 citations

    2

    h-index

  3. AH
    Abdul Hoyyi

    Diponegoro University, Indonesia

    1 publications · 12 citations

    1

    h-index

  4. GL
    Gang Lin

    Rensselaer Polytechnic Institute, United States

    1 publications · 30 citations

    1

    h-index

  5. CF
    Carlos Ferreira da Costa

    University of Algarve, Portugal

    1 publications · 31 citations

    1

    h-index

1–5 of 65

Venues

  1. IEEE Transactions on Image Processing

    2 publications · 71 citations

    2

    h-index

  2. 1

    h-index

  3. Jurnal Gaussian

    1 publications · 12 citations

    1

    h-index

  4. Research Explorer (The University of Manchester)

    Repository · 1 publications · 15 citations

    1

    h-index

  5. Journal of Mathematics

    1 publications · 13 citations

    1

    h-index

1–5