Gary King
Impact in
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- Electoral Systems and Political Participation
- International Relations and Foreign Policy
- Political Science Research and Education
- Statistics and Probability top 0.05%
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Bayesian Inference 50
- Advanced Causal Inference Techniques 40
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- Electoral Systems and Political Participation 62
- Political Science Research and Education 28
- Co-authors
- Langche Zeng (18 shared papers)Kosuke Imai (13 shared papers)Elizabeth A. Stuart (5 shared papers)Daniel E. Ho (5 shared papers)Giuseppe Porro (8 shared papers)Stefano Maria Iacus (9 shared papers)Sidney Verba (15 shared papers)Robert O. Keohane (12 shared papers)
- Journals
- Political Analysis (23 papers)American Journal of Political Science (16 papers)American Political Science Review (15 papers)PS Political Science & Politics (13 papers)Journal of the American Statistical Association (9 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Gary King
246 papers receiving 45.3k citations
Gary King's Hit Papers
Peers
Comparison fields: 5 of 223
- Political Science and International Relations 12.5k
- Statistics and Probability 4k
- General Social Sciences 1.2k
- Communication 2k
- Sociology and Political Science 10.4k
Countries citing papers authored by Gary King
This map shows the geographic impact of Gary King's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gary King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary King more than expected).
Fields of papers citing papers by Gary King
This network shows the impact of papers produced by Gary King. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gary King. The network helps show where Gary King may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Designing Social Inquiry Hit paper breakdown → | 1994 | 4033 |
| 2 | MatchIt : Nonparametric Preprocessing for Parametric Causal Inference Hit paper breakdown → | 2011 | 3406 |
| 3 | Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Hit paper breakdown → | 2007 | 3098 |
| 4 | Logistic Regression in Rare Events Data Hit paper breakdown → | 2001 | 3009 |
| 5 | Computational Social Science Hit paper breakdown → | 2009 | 2449 |
| 6 | Making the Most of Statistical Analyses: Improving Interpretation and Presentation Hit paper breakdown → | 2000 | 2418 |
| 7 | Causal Inference without Balance Checking: Coarsened Exact Matching Hit paper breakdown → | 2011 | 2388 |
| 8 | The Parable of Google Flu: Traps in Big Data Analysis Hit paper breakdown → | 2014 | 1793 |
| 9 | Amelia II: A Program for Missing Data Hit paper breakdown → | 2011 | 1762 |
| 10 | How Censorship in China Allows Government Criticism but Silences Collective Expression Hit paper breakdown → | 2013 | 1432 |
| 11 | Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation Hit paper breakdown → | 2001 | 1289 |
| 12 | Cem: Coarsened Exact Matching in Stata Hit paper breakdown → | 2009 | 1249 |
| 13 | Clarify : Software for Interpreting and Presenting Statistical Results Hit paper breakdown → | 2003 | 1101 |
| 14 | Why Propensity Scores Should Not Be Used for Matching Hit paper breakdown → | 2019 | 1038 |
| 15 | Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research Hit paper breakdown → | 2004 | 697 |
| 16 | 2008 | 669 | |
| 17 | Multivariate Matching Methods That Are Monotonic Imbalance Bounding Hit paper breakdown → | 2011 | 668 |
| 18 | 2010 | 634 | |
| 19 | How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument Hit paper breakdown → | 2017 | 627 |
| 20 | Explaining Rare Events in International Relations Hit paper breakdown → | 2001 | 554 |
About Gary King
Gary King is a scholar working on Statistics and Probability, Political Science and International Relations, General Social Sciences, Sociology and Political Science and Law, having authored 257 papers that have together received 49.9k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (62 papers), Statistical Methods and Bayesian Inference (50 papers), Advanced Causal Inference Techniques (40 papers), Political Science Research and Education (28 papers), Survey Methodology and Nonresponse (12 papers), Computational and Text Analysis Methods (12 papers), Research Data Management Practices (10 papers) and Spatial and Panel Data Analysis (10 papers). The work is most often cited by research in Political Science and International Relations (12.5k citations), Statistics and Probability (4k citations), General Social Sciences (1.2k citations), Communication (2k citations) and Sociology and Political Science (10.4k citations). Gary King has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Langche Zeng, Kosuke Imai, Elizabeth A. Stuart, Daniel E. Ho, Giuseppe Porro, Stefano Maria Iacus, Sidney Verba, Robert O. Keohane, James Honaker and Michael R. Tomz. Their work appears in journals such as Political Analysis, American Journal of Political Science, American Political Science Review, PS Political Science & Politics and Journal of the American Statistical Association.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.