Standout Papers

Text as Data: The Promise and Pitfalls of Automatic Content Analysis Meth... 2009 2026 2014 2020 1.7k
  1. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)
    Justin Grimmer, Brandon Stewart Political Analysis
  2. A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases (2009)
    Justin Grimmer Political Analysis
  3. Machine Learning for Social Science: An Agnostic Approach (2021)
    Justin Grimmer, Margaret E. Roberts et al. Annual Review of Political Science
  4. Current research overstates American support for political violence (2022)
    Sean Westwood, Justin Grimmer et al. Proceedings of the National Academy of Sciences

Immediate Impact

10 from Science/Nature 74 standout
Sub-graph 1 of 20

Citing Papers

Can Generative AI improve social science?
2024 Standout
Misunderstanding the harms of online misinformation
2024 StandoutNature
2 intermediate papers

Works of Justin Grimmer being referenced

Machine Learning for Social Science: An Agnostic Approach
2021 Standout
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
2013 Standout

Author Peers

Author Last Decade Papers Cites
Justin Grimmer 1291 1353 1079 33 3.5k
Brandon Stewart 1057 2209 2014 61 5.4k
Margaret E. Roberts 1242 2482 1370 55 5.2k
Kenneth Benoit 3330 1589 655 78 5.2k
Michael Laver 3600 1298 429 50 4.8k
Shana Kushner Gadarian 725 1545 499 41 2.7k
Stuart Soroka 2902 3851 272 113 7.1k
Daniel J. Hopkins 2426 3450 192 112 5.4k
Rens Vliegenthart 2116 3598 240 204 6.4k
Hajo G. Boomgaarden 2299 3424 170 156 5.9k
Pablo Barberá 1143 2508 190 43 4.2k

All Works

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Rankless by CCL
2026