Fraud Loss Estimation

Fraud Loss Estimation is a quantitative method in fraud examination that determines the financial impact of fraudulent activities by analyzing and projecting the extent of monetary losses attributable to detected or suspected fraud schemes.

18

Publications

509

Citations

44

Authors

20

Institutions

Publications per year

2017–2026

7

Authors

44

  1. DP
    Dominic Peltier‐Rivest

    Concordia University, Canada

    2 publications · 56 citations

    2

    h-index

  2. RM
    Robert M. Gagné

    Florida State University, United States

    2 publications · 79 citations

    2

    h-index

  3. MB
    Mark Button

    University of Portsmouth, United Kingdom

    2 publications · 44 citations

    2

    h-index

  4. GD
    Georges Dionne

    HEC Montréal, Canada

    2 publications · 79 citations

    2

    h-index

  5. IP
    Igor Pınheıro de Araújo Costa

    Universidade Federal Fluminense, Brazil

    1 publications · 56 citations

    1

    h-index

1–5 of 44

Venues

  1. Journal of Financial Crime

    4 publications · 83 citations

    4

    h-index

  2. IEEE Transactions on Power Delivery

    1 publications · 15 citations

    1

    h-index

  3. Nonprofit and Voluntary Sector Quarterly

    NVSQ · 1 publications · 63 citations

    1

    h-index

  4. IEEE Latin America Transactions

    1 publications · 11 citations

    1

    h-index

  5. ANU Open Research (Australian National University)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5