Gary King
Impact in
-
- Electoral Systems and Political Participation
- Social Policy and Reform Studies
- Communication top 0.1%
- Social Media and Politics
Papers in
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- Electoral Systems and Political Participation 60
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- Advanced Causal Inference Techniques 47
- Statistical Methods and Inference 39
- Statistical Methods and Bayesian Inference 36
- Co-authors
- Kosuke Imai (12 shared papers)Stefano M. Iacus (7 shared papers)Giuseppe Porro (7 shared papers)Elizabeth A. Stuart (5 shared papers)Daniel E. Ho (3 shared papers)Sidney Verba (12 shared papers)Robert O. Keohane (9 shared papers)Michael Tomz (3 shared papers)
- Journals
- Political Analysis (23 papers)PS Political Science & Politics (15 papers)American Political Science Review (15 papers)American Journal of Political Science (15 papers)Journal of the American Statistical Association (11 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Gary King
246 papers receiving 36.8k citations
Gary King's Hit Papers
Peers
Comparison fields: 5 of 224
- Political Science and International Relations 10.4k
- Communication 2.4k
- Statistics and Probability 2.7k
- Development 1.2k
- Sociology and Political Science 12.5k
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 259 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Designing Social Inquiry Hit paper breakdown → | 1994 | 3546 |
| 2 | Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Hit paper breakdown → | 2007 | 3124 |
| 3 | MatchIt: Nonparametric Preprocessing for Parametric Causal Inference Hit paper breakdown → | 2011 | 3078 |
| 4 | Causal Inference without Balance Checking: Coarsened Exact Matching Hit paper breakdown → | 2011 | 2520 |
| 5 | Making the Most of Statistical Analyses: Improving Interpretation and Presentation Hit paper breakdown → | 2000 | 2493 |
| 6 | Computational Social Science Hit paper breakdown → | 2009 | 2107 |
| 7 | AmeliaII: A Program for Missing Data Hit paper breakdown → | 2011 | 1698 |
| 8 | The Parable of Google Flu: Traps in Big Data Analysis Hit paper breakdown → | 2014 | 1553 |
| 9 | Cem: Coarsened Exact Matching in Stata Hit paper breakdown → | 2009 | 1300 |
| 10 | Clarify: Software for Interpreting and Presenting Statistical Results Hit paper breakdown → | 2003 | 1179 |
| 11 | Why Propensity Scores Should Not Be Used for Matching Hit paper breakdown → | 2019 | 981 |
| 12 | Designing Social Inquiry Hit paper breakdown → | 1994 | 766 |
| 13 | Multivariate Matching Methods That Are Monotonic Imbalance Bounding Hit paper breakdown → | 2011 | 714 |
| 14 | Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research Hit paper breakdown → | 2004 | 694 |
| 15 | What to Do about Missing Values in Time‐Series Cross‐Section Data Hit paper breakdown → | 2010 | 641 |
| 16 | How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument Hit paper breakdown → | 2017 | 582 |
| 17 | A Method of Automated Nonparametric Content Analysis for Social Science Hit paper breakdown → | 2009 | 507 |
| 18 | Unifying Political Methodology: The Likelihood Theory of Statistical Inference Hit paper breakdown → | 1989 | 455 |
| 19 | 2005 | 371 | |
| 20 | A Solution to the Ecological Inference Problem Hit paper breakdown → | 1998 | 338 |
About Gary King
Gary King is a scholar working on Political Science and International Relations, Statistics and Probability, Sociology and Political Science, Economics and Econometrics and Artificial Intelligence, having authored 259 papers that have together received 40.2k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (60 papers), Advanced Causal Inference Techniques (47 papers), Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (36 papers), Fiscal Policies and Political Economy (15 papers), Data Analysis with R (14 papers), Qualitative Comparative Analysis Research (13 papers) and Political Conflict and Governance (12 papers). The work is most often cited by research in Political Science and International Relations (10.4k citations), Communication (2.4k citations), Statistics and Probability (2.7k citations), Development (1.2k citations) and Sociology and Political Science (12.5k citations). Gary King has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Kosuke Imai, Stefano M. Iacus, Giuseppe Porro, Elizabeth A. Stuart, Daniel E. Ho, Sidney Verba, Robert O. Keohane, Michael Tomz, Jason Wittenberg and James Honaker. Their work appears in journals such as Political Analysis, PS Political Science & Politics, American Political Science Review, American Journal of Political Science 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.