Kenneth Prewitt

165 total papers · 3.0k total citations
88 papers, 1.6k citations indexed

About

Kenneth Prewitt is a scholar working on Sociology and Political Science, Political Science and International Relations and Statistics and Probability. According to data from OpenAlex, Kenneth Prewitt has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 16 papers in Political Science and International Relations and 11 papers in Statistics and Probability. Recurrent topics in Kenneth Prewitt's work include Census and Population Estimation (10 papers), Electoral Systems and Political Participation (6 papers) and Social Capital and Networks (4 papers). Kenneth Prewitt is often cited by papers focused on Census and Population Estimation (10 papers), Electoral Systems and Political Participation (6 papers) and Social Capital and Networks (4 papers). Kenneth Prewitt collaborates with scholars based in United States, Canada and Portugal. Kenneth Prewitt's co-authors include Norman H. Nie, G. Bingham Powell, Heinz Eulau, Ira E. Robinson, Richard E. Dawson, Steven Heydemann, Frederick L. Whitam, Stefan Toepler, Mattei Dogan and Alan A. Stone and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Kenneth Prewitt

75 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Kenneth Prewitt 755 649 166 162 157 88 1.6k
Thomas Janoski 1.4k 1.8× 687 1.1× 189 1.1× 86 0.5× 108 0.7× 47 2.2k
Todd Landman 1.1k 1.5× 732 1.1× 77 0.5× 83 0.5× 150 1.0× 72 1.8k
Lewis Anthony Dexter 597 0.8× 441 0.7× 176 1.1× 86 0.5× 158 1.0× 37 1.7k
Marion J. Levy 1.2k 1.6× 490 0.8× 102 0.6× 170 1.0× 91 0.6× 50 2.2k
Mattei Dogan 677 0.9× 634 1.0× 86 0.5× 74 0.5× 71 0.5× 79 1.5k
Peter Miller 732 1.0× 678 1.0× 180 1.1× 179 1.1× 150 1.0× 28 1.6k
Lester W. Milbrath 867 1.1× 524 0.8× 95 0.6× 75 0.5× 288 1.8× 45 1.7k
David Jary 673 0.9× 396 0.6× 333 2.0× 171 1.1× 70 0.4× 45 1.7k
Christine Musselin 605 0.8× 1.0k 1.6× 551 3.3× 100 0.6× 104 0.7× 94 2.0k
Charles A. Myers 553 0.7× 475 0.7× 205 1.2× 85 0.5× 131 0.8× 54 1.9k

Countries citing papers authored by Kenneth Prewitt

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Prewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Prewitt. 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 Kenneth Prewitt. The network helps show where Kenneth Prewitt may publish in the future.

Co-authorship network of co-authors of Kenneth Prewitt

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Prewitt. A scholar is included among the top collaborators of Kenneth Prewitt 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 Kenneth Prewitt. Kenneth Prewitt 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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