Gerrymandering Detection

Gerrymandering Detection is a computational and statistical methodology within election integrity analysis that systematically identifies and evaluates the presence of deliberate, partisan manipulation in electoral district boundaries through the application of spatial, demographic, and voting data metrics.

54

Publications

2.4K

Citations

96

Authors

54

Institutions

Publications per year

2017–2026

26

Authors

96

  1. MD
    Moon Duchin

    Tufts University, United States

    5 publications · 91 citations

    5

    h-index

  2. GK
    Gary King

    Harvard University Press, United States

    4 publications · 280 citations

    4

    h-index

  3. BG
    Bernard Grofman

    University of California, Irvine, United States

    4 publications · 366 citations

    4

    h-index

  4. JC
    Jowei Chen

    University of Michigan, United States

    3 publications · 566 citations

    3

    h-index

  5. JR
    Jonathan Rodden

    Stanford University, United States

    2 publications · 137 citations

    2

    h-index

1–5 of 96

Venues

  1. Election Law Journal Rules Politics and Policy

    ELJ · 8 publications · 432 citations

    8

    h-index

  2. Political Geography

    5 publications · 134 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 43 citations

    3

    h-index

  4. The Journal of Politics

    JP · 2 publications · 214 citations

    2

    h-index

  5. Political Analysis

    2 publications · 51 citations

    2

    h-index

1–5