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Political Analysis
Citation weight
TierA
Weight in force1×
Weightingoff
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Each figure with its percentile among the ranked journals. A is the median, over the academics with a work here, of that academic’s citations to the works this site counts for them - never a Google Scholar profile total. Over every academic of this field, all years, whatever the filters select.
A · academics’ median6,583.5 · 56%
B · citations per work378.8 · 94%
N · works141 · 87%
P · academics50 · 83%
Formula result1.107
From this institution
Under these filters. A work with no citation count is unknown here, never a zero.
Works139
Citations50,760 over 134 of 139 works
Citations per counted work378.8
Weighted citations—
Academics50
Departments8
First seen1991
Works placed per year
138 of these 139 works carry a year; an undated work is in no year. Works placed, under these filters.
Departments publishing there 8
| Department | Works |
|---|---|
| Harvard Government | 54 |
| Columbia Political Science | 27 |
| Princeton Politics | 23 |
| Yale Political Science | 23 |
| Penn Political Science | 12 |
| Cornell Government | 5 |
| Dartmouth Government | 4 |
| Brown Political Science | 3 |
A work held by two departments counts once in each, so these add up to more than the works above.
Works placed there 139
| Year | Title | Academics | Citations |
|---|---|---|---|
| 2001 | Logistic Regression in Rare Events Data | Gary King | 6,552 |
| 2007 | Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference | Gary King · Kosuke Imai | 6,021 |
| 2012 | Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk | Gregory Alain Huber | 5,882 |
| 2011 | Causal Inference Without Balance Checking: Coarsened Exact Matching | Gary King | 5,362 |
| 2019 | Why Propensity Scores Should Not Be Used for Matching | Gary King | 2,813 |
| 2014 | Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments | Daniel J. Hopkins | 2,707 |
| 2019 | How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice. | Jonathan Mummolo | 1,458 |
| 2021 | On the Use of Two-way Fixed Effects Regression Models for Causal Inference with Panel Data | Kosuke Imai | 1,104 |
| 2012 | Statistical Analysis of List Experiments | Kosuke Imai | 923 |
| 2018 | Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It | Arthur Spirling | 913 |
| 2015 | Computer Assisted Text Analysis for Comparative Politics | Dustin Tingley | 833 |
| 2006 | The Dangers of Extreme Counterfactuals | Gary King | 822 |
| 2015 | Geographic Boundaries as Regression Discontinuities | Rocío Titiunik | 679 |
| 2004 | Bayesian multilevel estimation with poststratification: state-level estimates from national polls | Andrew Gelman | 663 |
| 2014 | Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison | Stephen Daniel Ansolabehere | 662 |
| 2013 | Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments | Kosuke Imai | 601 |
| 2007 | Comparing Incomparable Survey Responses: New Tools for Anchoring Vignettes | Gary King | 594 |
| 2012 | Validation: What Big Data Reveals About Survey Misreporting and the Real Electorate | Stephen Daniel Ansolabehere | 568 |
| 2015 | How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It | Gary King | 484 |
| 2019 | A Note on Dropping Experimental Subjects who Fail a Manipulation Check | P. M. Aronow | 419 |
| 2016 | Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Record | Kosuke Imai | 374 |
| 2018 | The Number of Choice Tasks and Survey Satisficing in Conjoint Experiments | Daniel J. Hopkins | 373 |
| 2005 | Practical issues in implementing and understanding Bayesian ideal point estimation | Andrew Gelman | 352 |
| 2014 | Measuring Transparency | James Raymond Vreeland | 350 |
| 2018 | A Note on Listwise Deletion versus Multiple Imputation | Thomas B. Pepinsky | 281 |
| 2002 | Estimating Dynamic Panel Models in Political Science | Gregory J. Wawro | 268 |
| 1999 | No Evidence on Directional vs. Proximity Voting | Gary King | 262 |
| 2005 | Institutional context, cognitive resources and party attachments across democracies | John D. Huber | 255 |
| 2017 | Estimating heterogeneous treatment effects and the effects of heterogeneous treatments with ensemble methods | Sean J. Westwood | 252 |
| 2010 | Bayesian Model Averaging: Theoretical Developments and Practical Applications | Brendan Nyhan | 246 |
| 2023 | Using Conjoint Experiments to Analyze Elections: The Essential Role of the Average Marginal Component Effect | Daniel J. Hopkins | 236 |
| 2011 | Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in Pakistan | Kosuke Imai | 235 |
| 2021 | Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution | Kosuke Imai | 230 |
| 2000 | Estimating Legislators’ Preferred Points. | John Benedict Londregan | 229 |
| 2006 | Comparing Experimental and Matching Methods using a Large-Scale Voter Mobilization Experiment | Alan S. Gerber · Donald P. Green | 218 |
| 2011 | Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-out-the-vote Campaign | Kosuke Imai | 200 |
| 2015 | Cluster-Robust Variance Estimation for Dyadic Data | P. M. Aronow | 200 |
| 2009 | The Microfoundations of Polarization. | Matthew Levendusky | 199 |
| 2007 | UK OC OK? Interpreting Optimal Classification Scores for the U.K. House of Commons | Arthur Spirling | 192 |
| 2002 | The Experimental Method in Political Science | ROSE McDERMOTT | 191 |
| 2015 | Fuzzy Sets on Shaky Ground? Parametric and Specification Sensitivity in fsQCA. | Donghyun Danny Choi | 187 |
| 2018 | Classification Accuracy as a Substantive Quantity of Interest: Measuring Polarization in Westminster Systems | Arthur Spirling | 185 |
| 2016 | The Influence of Emotion on Trust | Dustin Tingley | 182 |
| 2019 | A Theory of Statistical Inference for Matching Methods in Causal Research | Gary King | 178 |
| 2001 | Testing for Publication Bias in Political Science | Alan S. Gerber · Donald P. Green | 176 |
| 2018 | Measuring Voters’ Multidimensional Policy Preferences with Conjoint Analysis: Application to Japan’s 2014 Election | Daniel M. Smith | 171 |
| 2008 | Analysis of Cluster-Randomized Experiments: A Comparison of Alternative Estimation Approaches | Donald P. Green | 162 |
| 2004 | Political Learning from Rare Events: Poisson Inference, Fiscal Constraints, and the Lifetime of Bureaus | Daniel Paul Carpenter | 156 |
| 2009 | Testing the Accuracy of Regression Discontinuity Analysis Using Experimental Benchmarks | Alan S. Gerber · Donald P. Green | 153 |
| 2014 | Multiple imputation for continuous and categorical data: Comparing joint and conditional ap- proaches | Andrew Gelman | 151 |
| 2017 | The Design of Field Experiments With Survey Outcomes: A Framework for Selecting More Efficient, Robust, and Ethical Designs | Joshua Kalla | 140 |
| 2015 | Measure for Measure: An Experimental Test of Online Political Media Exposure | Andrew M. Guess | 140 |
| 2003 | Roll Calls, Party Labels, and Elections | James M. Snyder, Jr. · Michael M. Ting | 130 |
| 1991 | On Political Methodology | Gary King | 125 |
| 2018 | Emotional Arousal Predicts Voting on the U.S. Supreme Court | Ryan D. Enos | 122 |
| 2013 | Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable | Allison Carnegie · P. M. Aronow | 122 |
| 2001 | Aggregation Among Binary, Count, and Duration Models: Estimating the Same Quantities from Different Levels of Data | Gary King | 118 |
| 2001 | Agenda constrained legislator ideal Points and the spatial voting model | Adam Meirowitz | 116 |
| 2013 | Asking About Numbers: Why and How | Marc Meredith · Stephen Daniel Ansolabehere | 115 |
| 2017 | Sparse Estimation and Uncertainty with Application to Subgroup Analysis | Dustin Tingley | 107 |
| 2015 | Using the Predicted Responses from List Experiments as Explanatory Variables in Regression Models | Kosuke Imai | 94 |
| 2019 | List Experiments with Measurement Error | Kosuke Imai | 93 |
| 2003 | Integrating roll call analysis and voting theory: A framework | Adam Meirowitz | 88 |
| 2016 | Cause or Effect? Turnout in Hispanic Majority-Minority Districts | Rocío Titiunik | 87 |
| 2020 | Measuring the Competitiveness of Elections | Daniel M. Smith | 86 |
| 2014 | Experiments to Reduce the Over-reporting of Voting: A Pipeline to the Truth | Ismail K. White | 84 |
| 2002 | The Downstream Benefits of Experimentation | Alan S. Gerber · Donald P. Green | 81 |
| 2020 | Active Learning Approaches for Labeling Text: Review and Assessment of the Performance of Active Learning Approaches | Blake Miller | 79 |
| 2002 | A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data | Gary King | 78 |
| 2010 | Bayesian combination of state polls and election forecasts | Andrew Gelman | 78 |
| 2005 | Two-stage regression and multilevel modeling: a commentary | Andrew Gelman | 75 |
| 2016 | Coarsening bias: How instrumenting for coarsened treatments upwardly biases instrumental variable estimates | John Marshall | 72 |
| 2002 | A Statistical Model of Bilateral Cooperation | James Raymond Vreeland | 71 |
| 1998 | An Empirical Spatial Model of Congressional Campaigns | Nolan McCarty | 68 |
| 2023 | Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset | Gary King | 66 |
| 2003 | A Consensus on Second Stage Analyses in Ecological Inference Models | Gary King | 62 |
| 2018 | Estimating Spatial Preferences from Votes and Text | John Benedict Londregan | 61 |
| 2008 | Bayesian and Likelihood Ecological Inference for 2 × 2 Tables: An Incomplete Data Approach | Kosuke Imai | 60 |
| 2002 | Reconciling Individual and Aggregate Evidence Concerning Partisan Stability: Applying Time-Series Models to Panel Survey Data | Donald P. Green | 59 |
| 2002 | Another Look at the Measurement of Political Knowledge | Jason Barabas | 51 |
| 2010 | Baseline, Placebo, and Treatment: Efficient Estimation for Three-Group Experiments | Alan S. Gerber · Donald P. Green | 50 |
| 2007 | Bayesian Approaches for Limited Dependent Variable Change Point Problems | Arthur Spirling | 49 |
| 2016 | Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia | Sarah Zukerman Daly | 47 |
| 2021 | Spikes and Variance: Using Google Trends to Detect and Forecast Protests. | Erik Wibbels | 45 |
| 2020 | Voter registration databases and MRP: Toward the use of large scale databases in public opinion research | Andrew Gelman | 43 |
| 2022 | An Improved Method of Automated Nonparametric Content Analysis for Social Science | Gary King | 41 |
| 2021 | Placebo Selection In Survey Experiments: An Agnostic Approach. | Yamil Ricardo Velez | 41 |
| 2013 | Preregistration of studies and mock reports | Andrew Gelman | 39 |
| 2024 | Sensitivity analysis for survey weights | Melody Huang | 38 |
| 2009 | Apportionment Cycles as Natural Experiments | Marc Meredith | 37 |
| 2023 | Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study | Kosuke Imai | 36 |
| 2024 | Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis | Kosuke Imai | 35 |
| 2000 | The Time to Give: PAC Motivations and Electoral Timing | Nolan McCarty | 34 |
| 1993 | Issues and the Dynamics of Party Identification: A Methodological Critique | Donald P. Green | 33 |
| 2022 | Listwise Deletion in High Dimensions | P. M. Aronow | 31 |
| 2001 | Nonseparable Preferences, Measurement Error, and Unstable Survey Responses | Dean Lacy | 30 |
| 2017 | Combining Double Sampling and Bounds to Address Non-ignorable Missing Outcomes in Randomized Experiments | Alan S. Gerber · Donald P. Green | 30 |
| 2025 | Priming bias versus post-treatment bias in experimental designs | Kosuke Imai | 28 |
| 2023 | Dyadic Clustering in International Relations | P. M. Aronow | 28 |
| 2023 | Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting | Kevin DeLuca | 28 |
| 2003 | Analyzing Second Stage Ecological Regressions | Gary King | 26 |
| 2015 | Estimating the Severity of the WikiLeaks US Diplomatic Cables Disclosure | Arthur Spirling | 26 |
| 1996 | The Generalization in the Generalized Event Count Model, With Comments on Achen, Amato, and Londregan | Gary King | 24 |
| 2002 | Interpreting the Coefficient of Party Influence: Comment on Krehbiel | James M. Snyder, Jr. | 24 |
| 1991 | The Effects of Measurement Error on Two-Stage, Least Squares Estimates | Donald P. Green | 21 |
| 2016 | Research Note: A More Powerful Test Statistic for Reasoning about Interference between Units | P. M. Aronow | 20 |
| 2023 | Blocks as Geographic Discontinuities: The Effect of Polling Place Assignment on Voting | Marc Meredith | 20 |
| 1995 | A Correction for an Underdispersed Event Count Probability Distribution | Gary King | 18 |
| 2024 | Multilanguage Word Embeddings For Social Science: Estimation, Inference and Validation Resources for 157 Languages | Arthur Spirling | 18 |
| 2001 | Party Labels, Roll-Call Votes, and Elections | James M. Snyder, Jr. | 17 |
| — | G. Porro (2012)“Causal Inference Without Balance Checking: Coarsened Exact Matching.” | Gary King | 16 |
| 2020 | A General Model of Author “Style” with Application to the UK House of Commons, 1935–2018 | Arthur Spirling | 16 |
| 2024 | A Partisan Solution to Partisan Gerrymandering: The Define Combine Procedure | Kevin DeLuca | 15 |
| 2005 | Parties in elections, parties in government, and partisan bias | Adam Meirowitz | 15 |
| 2002 | Isolating Spatial Autocorrelation, Aggregation Bias, and Distributional Violations in Ecological Inference | Gary King | 13 |
| 2011 | Introduction to the Virtual Issue: Past and Future Research Agenda on Causal Inference | Kosuke Imai | 12 |
| 2025 | Categorizing topics versus inferring attitudes: a theory and method for analyzing open-ended survey responses. | William R. Hobbs | 11 |
| 2025 | Crowdsourced Adaptive Surveys | Yamil Ricardo Velez | 9 |
| 2012 | Vetoes, Bargaining, and Boundary Conditions | Charles M. Cameron | 8 |
| 2023 | The Essential Role of Statistical Inference in Evaluating Electoral Systems: A Response to DeFord et al. | Gary King | 7 |
| 2025 | Measuring Distances in High Dimensional Spaces Why Average Group Vector Comparisons Exhibit Bias, And What to Do About it | Arthur Spirling · William R. Hobbs | 7 |
| 2025 | Nationally Representative, Locally Misaligned: The Biases of Generative Artificial Intelligence in Neighborhood Perception | Melissa Lee Sands | 7 |
| 2025 | A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate | Kosuke Imai | 6 |
| 2015 | Explaining Systematic Bias and Nontransparency in US Social Security Administration Forecasts | Gary King | 6 |
| 2002 | A Practical Statistical Model for Multiparty Electoral Data | Gary King | 6 |
| 1996 | Some Remarks on the ‘Generalized Event Count’ Distribution. | John Benedict Londregan | 4 |
| 2018 | Estimating ideal points from votes and text | John Benedict Londregan | 3 |
| 2009 | A Comment on Diagnostic Tools for Counterfactual Inference | Nicholas Sambanis | 2 |
| 2006 | Ancillary Materials in Volume 14 | Alan S. Gerber · Donald P. Green | 2 |
| 2025 | Meaning Beyond Numbers: Introducing the Plot Staircase to Measure Graphical Preferences | Markus Prior · Talbot M. Andrews | 2 |
| 2006 | Institutional context, cognitive resources and party attachments across democracies (vol 13, pg 365, 2006) | John D. Huber | 2 |
| 2009 | Empirical versus Theoretical Claims about Extreme Counterfactuals: A Response | Gary King | 1 |
| 2026 | On the Foundations of the Design-Based Ap- proach | P. M. Aronow | 1 |
| 2022 | Rejoinder: Concluding Remarks on Scholarly Communications | Gary King | 0 |
| 2022 | Experimental Design and Statistical Inference for Conjoint Analysis: The Essential Role of Population Distribution | Kosuke Imai | — |
| 2018 | EmotionalArousalPredictsVotingontheSupreme Court | Ryan D. Enos | — |
| 2009 | The Society for Political Methodology | Gary King | — |
| 2018 | Comments on Single-Blind Reviewing from the Editorial Staff | Daniel J. Hopkins | — |
| 2002 | Experimental Methodology in Political Science | ROSE McDERMOTT | — |
Citations as counted, before any journal weight: 134 of these 139 works carry a count, and a work with no count is unknown, never a zero.