Audit Data Analytics

Audit Data Analytics is a systematic computational methodology within the domain of information technology auditing that distinguishes itself by enabling auditors to examine, analyze, and derive evidence-based conclusions from complete populations of digital financial and operational data to assess the accuracy, completeness, and compliance of accounting and control processes.

156

Publications

10.6K

Citations

341

Authors

179

Institutions

Publications per year

2017–2026

116

Authors

341

  1. MA
    Miklos A. Vasarhelyi

    Rutgers, The State University of New Jersey, United States

    15 publications · 1.8K citations

    13

    h-index

  2. AK
    Alexander Kogan

    Rutgers, The State University of New Jersey, United States

    4 publications · 1.1K citations

    4

    h-index

  3. HL
    Helen L. Brown‐Liburd

    Rutgers, The State University of New Jersey, United States

    4 publications · 631 citations

    4

    h-index

  4. FH
    Feiqi Huang

    Rutgers, The State University of New Jersey, United States

    3 publications · 124 citations

    3

    h-index

  5. WG
    Won Gyun No

    Rutgers, The State University of New Jersey, United States

    3 publications · 124 citations

    3

    h-index

1–5 of 341

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 263 citations

    12

    h-index

  2. Journal of Emerging Technologies in Accounting

    9 publications · 1.1K citations

    9

    h-index

  3. Accounting Horizons

    9 publications · 1.9K citations

    9

    h-index

  4. 8

    h-index

  5. Journal of Information Systems

    6 publications · 367 citations

    6

    h-index

1–5