Kevin Williams

58 total papers · 1.4k total citations
35 papers, 904 citations indexed

About

Kevin Williams is a scholar working on Sociology and Political Science, Economics and Econometrics and Social Psychology. According to data from OpenAlex, Kevin Williams has authored 35 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 7 papers in Economics and Econometrics and 5 papers in Social Psychology. Recurrent topics in Kevin Williams's work include Parallel Computing and Optimization Techniques (5 papers), Media Influence and Health (4 papers) and Fatty Acid Research and Health (4 papers). Kevin Williams is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Media Influence and Health (4 papers) and Fatty Acid Research and Health (4 papers). Kevin Williams collaborates with scholars based in United States, Jamaica and Ireland. Kevin Williams's co-authors include Won S. Choi, Chee Kay Cheung, Kenneth B. Ain, Charles Lee, Bosco Ho, David Gregg, David J. Kyle, Thomas Strganac, Johnnie R. Hayes and Patrick M. Markey and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Clinical Oncology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Kevin Williams

33 papers receiving 854 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Williams 355 188 158 98 96 35 904
Guangli Lu 158 0.4× 219 1.2× 233 1.5× 67 0.7× 40 0.4× 54 993
Philip A. Powell 231 0.7× 194 1.0× 223 1.4× 101 1.0× 32 0.3× 68 997
Doris Jaalouk 70 0.2× 178 0.9× 392 2.5× 76 0.8× 50 0.5× 22 1.1k
Gordon P. Brooks 165 0.5× 73 0.4× 114 0.7× 51 0.5× 12 0.1× 37 937
Anastassiya Kovaleva 197 0.6× 214 1.1× 185 1.2× 121 1.2× 7 0.1× 36 713
Ze Wang 119 0.3× 79 0.4× 96 0.6× 66 0.7× 25 0.3× 86 1.0k
Elise L. Rice 143 0.4× 140 0.7× 108 0.7× 73 0.7× 15 0.2× 15 700
Hao Li 186 0.5× 100 0.5× 137 0.9× 63 0.6× 8 0.1× 63 716
John S. Gillis 272 0.8× 170 0.9× 200 1.3× 175 1.8× 6 0.1× 43 704
Francis J. Tinney 114 0.3× 89 0.5× 99 0.6× 104 1.1× 6 0.1× 20 699

Countries citing papers authored by Kevin Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Williams

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