Steve Williams

46 total papers · 1.2k total citations
26 papers, 734 citations indexed

About

Steve Williams is a scholar working on Sociology and Political Science, Accounting and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Steve Williams has authored 26 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Accounting and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Steve Williams's work include Job Satisfaction and Organizational Behavior (4 papers), Social and Intergroup Psychology (4 papers) and Risk Management in Financial Firms (3 papers). Steve Williams is often cited by papers focused on Job Satisfaction and Organizational Behavior (4 papers), Social and Intergroup Psychology (4 papers) and Risk Management in Financial Firms (3 papers). Steve Williams collaborates with scholars based in United States, Singapore and Australia. Steve Williams's co-authors include John Schaubroeck, Sunitha Narendran, Robert J. Taormina, Daniel C. Ganster, Fred Luthans, Mohamed Z. Elbashir, F. Gregory Hayden and François Blais and has published in prestigious journals such as Journal of Applied Psychology, Journal of Organizational Behavior and European Journal of Marketing.

In The Last Decade

Steve Williams

26 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Steve Williams	370	217	192	127	76	26	734
Kwok Leung	445 1.2×	271 1.2×	246 1.3×	134 1.1×	54 0.7×	33	879
Philippe Jacquart	303 0.8×	226 1.0×	207 1.1×	150 1.2×	55 0.7×	19	819
Gary Johns	372 1.0×	166 0.8×	196 1.0×	96 0.8×	52 0.7×	32	779
Christopher H. Thomas	485 1.3×	205 0.9×	140 0.7×	151 1.2×	74 1.0×	23	775
Elise Marescaux	455 1.2×	136 0.6×	146 0.8×	84 0.7×	65 0.9×	27	633
Dustin Bluhm	421 1.1×	191 0.9×	216 1.1×	162 1.3×	93 1.2×	17	789
Steven M. Sommer	514 1.4×	235 1.1×	213 1.1×	115 0.9×	64 0.8×	21	870
Oliver Sheldon	257 0.7×	187 0.9×	251 1.3×	91 0.7×	54 0.7×	27	801
Michael B. Harari	455 1.2×	210 1.0×	197 1.0×	72 0.6×	74 1.0×	19	847
Stuart M. Klein	327 0.9×	164 0.8×	138 0.7×	118 0.9×	42 0.6×	27	740

Countries citing papers authored by Steve Williams

Since Specialization

Citations

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

Fields of papers citing papers by Steve Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Williams

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