Fred S. Switzer

68 total papers · 2.9k total citations
44 papers, 2.0k citations indexed

About

Fred S. Switzer is a scholar working on Social Psychology, Automotive Engineering and Statistics and Probability. According to data from OpenAlex, Fred S. Switzer has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 7 papers in Automotive Engineering and 7 papers in Statistics and Probability. Recurrent topics in Fred S. Switzer's work include Human-Automation Interaction and Safety (9 papers), Traffic and Road Safety (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Fred S. Switzer is often cited by papers focused on Human-Automation Interaction and Safety (9 papers), Traffic and Road Safety (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Fred S. Switzer collaborates with scholars based in United States, Canada and Austria. Fred S. Switzer's co-authors include Philip L. Roth, Jeffery S. Schippmann, Deborah M. Switzer, Janet A. Sniezek, Andrew J. Vinchur, Paul W. Paese, Philip Bobko, June J. Pilcher, Alexander D. Walker and Eric R. Muth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Journal of Management.

In The Last Decade

Fred S. Switzer

43 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Fred S. Switzer 524 425 316 308 306 44 2.0k
Ralph A. Alexander 598 1.1× 513 1.2× 263 0.8× 355 1.2× 294 1.0× 122 2.7k
Beryl Hesketh 1.1k 2.0× 910 2.1× 233 0.7× 448 1.5× 273 0.9× 92 3.2k
Gerald V. Barrett 790 1.5× 560 1.3× 192 0.6× 364 1.2× 335 1.1× 133 2.6k
Dennis Doverspike 758 1.4× 764 1.8× 479 1.5× 787 2.6× 280 0.9× 85 3.1k
Robert Loo 720 1.4× 316 0.7× 480 1.5× 632 2.1× 254 0.8× 106 2.8k
Eric Anthony Day 732 1.4× 325 0.8× 187 0.6× 350 1.1× 403 1.3× 66 1.9k
Janice Langan‐Fox 787 1.5× 460 1.1× 350 1.1× 286 0.9× 269 0.9× 52 2.1k
Rick Jacobs 518 1.0× 806 1.9× 198 0.6× 385 1.3× 127 0.4× 57 2.1k
Joseph B. Lyons 1.4k 2.6× 351 0.8× 316 1.0× 263 0.9× 200 0.7× 91 2.3k
Siegfried Streufert 754 1.4× 250 0.6× 156 0.5× 461 1.5× 308 1.0× 89 3.0k

Countries citing papers authored by Fred S. Switzer

Since Specialization
Citations

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

Fields of papers citing papers by Fred S. Switzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred S. Switzer. 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 Fred S. Switzer. The network helps show where Fred S. Switzer may publish in the future.

Co-authorship network of co-authors of Fred S. Switzer

This figure shows the co-authorship network connecting the top 25 collaborators of Fred S. Switzer. A scholar is included among the top collaborators of Fred S. Switzer 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 Fred S. Switzer. Fred S. Switzer 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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