Fraud Detection

Fraud Detection is an analytical discipline that systematically identifies and flags transactions, activities, or claims exhibiting patterns indicative of intentional deception or misrepresentation for unlawful financial gain within accounting information systems, auditing, insurance, e-commerce, and related financial contexts.

7.1K

Publications

390.1K

Citations

14.5K

Authors

3.6K

Institutions

Publications per year

2017–2026

3.6K

Authors

14.5K

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    35 publications · 2.3K citations

    27

    h-index

  2. MB
    Mark Button

    University of Portsmouth, United Kingdom

    29 publications · 1.3K citations

    20

    h-index

  3. GL
    Guanjun Liu

    Tongji University, China

    21 publications · 1.8K citations

    19

    h-index

  4. CC
    Cassandra Cross

    Queensland University of Technology, Australia

    21 publications · 876 citations

    19

    h-index

  5. RA
    Richard A. Bauder

    Florida Atlantic University, United States

    18 publications · 1K citations

    18

    h-index

1–5 of 14.5K

Venues

  1. SSRN Electronic Journal

    Repository · 286 publications · 13.1K citations

    58

    h-index

  2. Journal of Financial Crime

    163 publications · 5.9K citations

    44

    h-index

  3. Journal of Business Ethics

    70 publications · 6.2K citations

    43

    h-index

  4. IEEE Access

    76 publications · 6.6K citations

    42

    h-index

  5. Expert Systems with Applications

    68 publications · 8K citations

    42

    h-index

1–5