Player Behavior Analytics

Player Behavior Analytics is a data-driven analytical framework within casino risk management that systematically identifies, models, and predicts individual gambling patterns and anomalies to assess potential risks associated with player conduct.

215

Publications

8K

Citations

537

Authors

242

Institutions

Publications per year

2017–2026

85

Authors

537

  1. AD
    Anders Drachen

    University of York, United Kingdom

    20 publications · 1.2K citations

    18

    h-index

  2. RS
    Rafet Sifa

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    14 publications · 931 citations

    14

    h-index

  3. CB
    Christian Bauckhage

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    10 publications · 797 citations

    10

    h-index

  4. MD
    Mark D. Griffiths

    Nottingham Trent University, United Kingdom

    9 publications · 500 citations

    9

    h-index

  5. AC
    Alessandro Canossa

    Northeastern University, United States

    8 publications · 357 citations

    8

    h-index

1–5 of 537

Venues

  1. Computers in Human Behavior

    6 publications · 238 citations

    7

    h-index

  2. Journal of Gambling Studies

    7 publications · 226 citations

    7

    h-index

  3. 7

    h-index

  4. International Journal of Mental Health and Addiction

    IJMA · 6 publications · 348 citations

    6

    h-index

  5. arXiv (Cornell University)

    Repository · 6 publications · 208 citations

    6

    h-index

1–5