Traffic Segmentation

Traffic Segmentation is a methodological construct in website traffic analysis that classifies users or visits into distinct subgroups based on shared characteristics or behaviors to enable targeted analysis of traffic sources, user intent, and engagement patterns.

54

Publications

3.4K

Citations

181

Authors

77

Institutions

Publications per year

2017–2026

24

Authors

181

  1. SR
    Stephane Ribot

    Institute of Electronics, Computer and Telecommunication Engineering, Italy

    2 publications · 261 citations

    2

    h-index

  2. JJ
    Jiong Jin

    Swinburne University of Technology, Australia

    2 publications · 89 citations

    2

    h-index

  3. TB
    Tamás Borsos

    Ericsson (Sweden), Sweden

    2 publications · 40 citations

    2

    h-index

  4. MF
    Marco Fiore

    Institute of Electronics, Computer and Telecommunication Engineering, Italy

    2 publications · 261 citations

    2

    h-index

  5. BP
    Balázs Péter Gerö

    Ericsson (Hungary), Hungary

    2 publications · 40 citations

    2

    h-index

1–5 of 181

Venues

  1. Computer Networks

    5 publications · 197 citations

    5

    h-index

  2. 3

    h-index

  3. Neurocomputing

    2 publications · 158 citations

    2

    h-index

  4. 1

    h-index

  5. Measurement

    1 publications · 68 citations

    1

    h-index

1–5