Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
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).
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-authorship network of co-authors of Gary King
This figure shows the co-authorship network connecting the top 25 collaborators of Gary King.
A scholar is included among the top collaborators of Gary King based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Gary King. Gary King is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tomz, Michael, Gary King, & Langche Zeng. (2021). RELOGIT: Stata module to perform Rare Event Logistic Regression. RePEc: Research Papers in Economics.2 indexed citations
King, Gary & Ying Lü. (2010). Verbal Autopsy Methods with Multiple Causes. Digital Access to Scholarship at Harvard (DASH) (Harvard University).49 indexed citations
Beck, Nathaniel, Gary King, & Langche Zeng. (2010). Theory and Evidence in International Conflict: A Reponse to de Marchi, Gelpi, and Grynaviski. Digital Access to Scholarship at Harvard (DASH) (Harvard University).29 indexed citations
8.
King, Gary, James Honaker, & Jonathan N. Katz. (2010). A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data. Digital Access to Scholarship at Harvard (DASH) (Harvard University).17 indexed citations
9.
King, Gary, Christopher Adolph, Michael C. Herron, & Kenneth W. Shotts. (2010). A Consensus on Second Stage Analyses in Ecological Inference Models. Digital Access to Scholarship at Harvard (DASH) (Harvard University).9 indexed citations
10.
King, Gary & Langche Zeng. (2010). Estimating Risk and Rate Levels, Ratios and Differences\nin Case-Control Studies. Digital Access to Scholarship at Harvard (DASH) (Harvard University).82 indexed citations
Stoll, Heather, Gary King, & Langche Zeng. (2009). WhatIF: R Software for Evaluating Counterfactuals. SHILAP Revista de lepidopterología.1 indexed citations
King, Gary. (2003). The Future of Replication. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 4.45 indexed citations
16.
King, Gary, et al.. (2003). An Automated Information Extraction Tool For International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design.267 indexed citations
Murray, Christopher, et al.. (2002). Armed conflict as a public health problem. Queensland's institutional digital repository (The University of Queensland).2 indexed citations
Merelman, Richard M. & Gary King. (1986). The Development of Political Activists: Towards a Model of Early Learning.. Social Science Quarterly. 67(3).6 indexed citations
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.