Voter Modeling

Voter Modeling is a computational framework within target audience segmentation that distinguishes itself by predicting individual voting behaviors through the integration of demographic, psychographic, and behavioral data.

99

Publications

6.3K

Citations

213

Authors

122

Institutions

Publications per year

2017–2026

21

Authors

213

  1. BG
    Bernard Grofman

    University of California, Irvine, United States

    3 publications · 252 citations

    3

    h-index

  2. JW
    Justin Wolfers

    National Bureau of Economic Research, United States

    2 publications · 117 citations

    2

    h-index

  3. BC
    Barry C. Burden

    University of Wisconsin–Madison, United States

    2 publications · 145 citations

    2

    h-index

  4. GR
    George Rabinowitz

    University of North Carolina at Chapel Hill, United States

    2 publications · 141 citations

    2

    h-index

  5. JH
    John H. Aldrich

    Duke University, United States

    2 publications · 386 citations

    2

    h-index

1–5 of 213

Venues

  1. Political Analysis

    8 publications · 362 citations

    8

    h-index

  2. American Political Science Review

    4 publications · 991 citations

    4

    h-index

  3. American Journal of Political Science

    AJPS · 4 publications · 550 citations

    4

    h-index

  4. Political Behavior

    3 publications · 191 citations

    3

    h-index

  5. Public Opinion Quarterly

    POQ · 3 publications · 112 citations

    3

    h-index

1–5