Procurement Fraud Detection

Procurement Fraud Detection is a systematic methodological framework within procurement oversight that distinguishes itself by identifying anomalous patterns, deceptive practices, or deliberate misrepresentations in procurement processes through analytical, technological, or audit-based means to prevent, deter, or expose corrupt activities.

38

Publications

1.7K

Citations

100

Authors

45

Institutions

Publications per year

2017–2026

24

Authors

100

  1. AD
    Amit Dhurandhar

    IBM (United States), United States

    3 publications · 338 citations

    3

    h-index

  2. PT
    Paishun Ting

    University of Michigan, United States

    2 publications · 323 citations

    2

    h-index

  3. WA
    Wuryan Andayani

    University of Brawijaya, Indonesia

    2 publications · 153 citations

    2

    h-index

  4. BD
    Bruno Damásio

    Universidade Nova de Lisboa, Portugal

    2 publications · 69 citations

    2

    h-index

  5. NN
    Nurkholis Nurkholis

    University of Brawijaya, Indonesia

    2 publications · 153 citations

    2

    h-index

1–5 of 100

Venues

  1. Applied Network Science

    ANS · 2 publications · 69 citations

    2

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 323 citations

    2

    h-index

  5. SSRN Electronic Journal

    Repository · 2 publications · 59 citations

    2

    h-index

1–5