David C. Nixon

23 total papers · 593 total citations
17 papers, 395 citations indexed

About

David C. Nixon is a scholar working on Law, Economics and Econometrics and Political Science and International Relations. According to data from OpenAlex, David C. Nixon has authored 17 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Law, 10 papers in Economics and Econometrics and 8 papers in Political Science and International Relations. Recurrent topics in David C. Nixon's work include Judicial and Constitutional Studies (10 papers), Legal and Constitutional Studies (9 papers) and Electoral Systems and Political Participation (7 papers). David C. Nixon is often cited by papers focused on Judicial and Constitutional Studies (10 papers), Legal and Constitutional Studies (9 papers) and Electoral Systems and Political Participation (7 papers). David C. Nixon collaborates with scholars based in United States. David C. Nixon's co-authors include Robert M. Howard, Anthony M. Bertelli, Joshua D. Clinton, David E. Lewis, Christian R. Grose, Charlene K. Baker, Janice Y. Chang, Earl S. Hishinuma and Pamela C. Corley and has published in prestigious journals such as American Journal of Political Science, Public Administration Review and Journal of Public Administration Research and Theory.

In The Last Decade

David C. Nixon

16 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
David C. Nixon 178 157 154 135 127 17 395
Susan M. Miller 162 0.9× 73 0.5× 35 0.2× 87 0.6× 124 1.0× 23 373
Christopher J. Deering 286 1.6× 98 0.6× 70 0.5× 116 0.9× 51 0.4× 16 347
Sean Farhang 154 0.9× 211 1.3× 254 1.6× 88 0.7× 44 0.3× 30 441
William E. Forbath 197 1.1× 57 0.4× 96 0.6× 37 0.3× 120 0.9× 31 385
Jason A. MacDonald 204 1.1× 90 0.6× 47 0.3× 92 0.7× 85 0.7× 17 348
Martin A. Levin 71 0.4× 86 0.5× 73 0.5× 56 0.4× 46 0.4× 21 335
Emily Van Dunk 281 1.6× 141 0.9× 69 0.4× 111 0.8× 33 0.3× 8 413
Kenneth Lowande 265 1.5× 65 0.4× 67 0.4× 99 0.7× 78 0.6× 24 338
David A. Breaux 270 1.5× 126 0.8× 49 0.3× 103 0.8× 56 0.4× 15 363
Edward L. Lascher 287 1.6× 108 0.7× 30 0.2× 94 0.7× 36 0.3× 32 419

Countries citing papers authored by David C. Nixon

Since Specialization
Citations

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

Fields of papers citing papers by David C. Nixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Nixon. 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 David C. Nixon. The network helps show where David C. Nixon may publish in the future.

Co-authorship network of co-authors of David C. Nixon

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Nixon. A scholar is included among the top collaborators of David C. Nixon 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 David C. Nixon. David C. Nixon 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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