Election Forensics

Election Forensics is an academic methodology that systematically analyzes electoral data and processes to detect, identify, and characterize anomalies indicative of fraudulent or irregular behavior through statistical, computational, and forensic techniques.

59

Publications

2.6K

Citations

98

Authors

65

Institutions

Publications per year

2017–2026

20

Authors

98

  1. PC
    Peter C. Ordeshook

    California Institute of Technology, United States

    5 publications · 269 citations

    5

    h-index

  2. WR
    Walter R. Mebane

    Cornell University, United States

    4 publications · 173 citations

    4

    h-index

  3. IL
    Inés Levin

    California Institute of Technology, United States

    3 publications · 80 citations

    3

    h-index

  4. MM
    Mikhail Myagkov

    University of Oregon, United States

    3 publications · 233 citations

    3

    h-index

  5. RM
    R. Michael Alvarez

    California Institute of Technology, United States

    3 publications · 80 citations

    3

    h-index

1–5 of 98

Venues

  1. Political Analysis

    5 publications · 262 citations

    5

    h-index

  2. PLoS ONE

    3 publications · 85 citations

    3

    h-index

  3. Electoral Studies

    3 publications · 223 citations

    3

    h-index

  4. Post-Soviet Affairs

    3 publications · 95 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 2 publications · 40 citations

    2

    h-index

1–5