Audit Selection Systems

Audit Selection Systems is a decision-support framework within tax administration information systems that systematically identifies high-risk tax returns for examination by applying risk assessment models, data analytics, and selection criteria to prioritize audits efficiently and effectively.

11

Publications

488

Citations

26

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

26

  1. JA
    James Alm

    Tulane University, United States

    2 publications · 215 citations

    2

    h-index

  2. MN
    Matthew N. Murray

    University of Tennessee at Knoxville, United States

    2 publications · 147 citations

    2

    h-index

  3. MB
    Mark B. Cronshaw

    University of Colorado Boulder, United States

    1 publications · 124 citations

    1

    h-index

  4. DE
    Daniel E. Ho

    Stanford University, United States

    1 publications · 21 citations

    1

    h-index

  5. TZ
    Tong Zhao

    Shandong University, China

    1 publications · 36 citations

    1

    h-index

1–5 of 26

Venues

  1. Journal of Dairy Science

    JDS · 1 publications · 12 citations

    1

    h-index

  2. Journal of Accounting and Public Policy

    1 publications · 49 citations

    1

    h-index

  3. 2022 ACM Conference on Fairness, Accountability, and Transparency

    Conference · 1 publications · 21 citations

    1

    h-index

  4. National Tax Journal

    NTJ · 1 publications · 56 citations

    1

    h-index

  5. Computers & Industrial Engineering

    1 publications · 36 citations

    1

    h-index

1–5