Gerald L. Curtis

76 total papers · 582 total citations
24 papers, 286 citations indexed

About

Gerald L. Curtis is a scholar working on Sociology and Political Science, Political Science and International Relations and Infectious Diseases. According to data from OpenAlex, Gerald L. Curtis has authored 24 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 1 paper in Political Science and International Relations and 0 papers in Infectious Diseases. Recurrent topics in Gerald L. Curtis's work include International Relations and Foreign Policy (1 paper), Korean Peninsula Historical and Political Studies (1 paper) and Middle East and Rwanda Conflicts (1 paper). Gerald L. Curtis is often cited by papers focused on International Relations and Foreign Policy (1 paper), Korean Peninsula Historical and Political Studies (1 paper) and Middle East and Rwanda Conflicts (1 paper). Gerald L. Curtis collaborates with scholars based in Japan. Gerald L. Curtis's co-authors include J. A. A. Stockwin, Susan J. Pharr, Donald S. Zagoria, Wang Jisi, Andrew DeWit, Chauncey S. Goodrich, Lucian W. Pye and Michael Mandelbaum and has published in prestigious journals such as Foreign Affairs, International Organization and Southern Economic Journal.

In The Last Decade

Gerald L. Curtis

19 papers receiving 210 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gerald L. Curtis	201	109	66	43	26	24	286
Amy Catalinac	182 0.9×	108 1.0×	44 0.7×	28 0.7×	25 1.0×	17	237
Masaru Kohno	153 0.8×	70 0.6×	77 1.2×	18 0.4×	16 0.6×	27	236
Lonny E. Carlile	162 0.8×	149 1.4×	36 0.5×	34 0.8×	17 0.7×	22	297
Patricia Goff	155 0.8×	81 0.7×	67 1.0×	7 0.2×	18 0.7×	23	241
Krista E. Wiegand	188 0.9×	220 2.0×	44 0.7×	23 0.5×	41 1.6×	35	318
Richard Langhorne	171 0.9×	117 1.1×	24 0.4×	10 0.2×	39 1.5×	26	289
Parris H. Chang	174 0.9×	160 1.5×	20 0.3×	16 0.4×	18 0.7×	41	320
Patricia L. Maclachlan	98 0.5×	116 1.1×	45 0.7×	57 1.3×	9 0.3×	23	238
Patrick Köllner	219 1.1×	188 1.7×	47 0.7×	8 0.2×	51 2.0×	50	330
Tsveta Petrova	156 0.8×	167 1.5×	30 0.5×	8 0.2×	34 1.3×	17	286

Countries citing papers authored by Gerald L. Curtis

Since Specialization

Citations

This map shows the geographic impact of Gerald L. Curtis'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 Gerald L. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald L. Curtis more than expected).

Fields of papers citing papers by Gerald L. Curtis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald L. Curtis. 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 Gerald L. Curtis. The network helps show where Gerald L. Curtis may publish in the future.

Co-authorship network of co-authors of Gerald L. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald L. Curtis. A scholar is included among the top collaborators of Gerald L. Curtis 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 Gerald L. Curtis. Gerald L. Curtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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