John T. Quinn

34 total papers · 1.9k total citations
24 papers, 1.5k citations indexed

About

John T. Quinn is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, John T. Quinn has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Economics and Econometrics and 3 papers in Management Science and Operations Research. Recurrent topics in John T. Quinn's work include Motor Control and Adaptation (6 papers), Economic and Environmental Valuation (4 papers) and Muscle activation and electromyography studies (3 papers). John T. Quinn is often cited by papers focused on Motor Control and Adaptation (6 papers), Economic and Environmental Valuation (4 papers) and Muscle activation and electromyography studies (3 papers). John T. Quinn collaborates with scholars based in United States, Canada and Philippines. John T. Quinn's co-authors include Brian Hawkins, Richard A. Schmidt, Howard N. Zelaznik, James S. Frank, Christian M. Dufournaud, David E. Sherwood, B. N. Lohani, Peter Rogers, Karl M. Newell and Charles B. Walter and has published in prestigious journals such as Psychological Review, Journal of Environmental Management and Acta Psychiatrica Scandinavica.

In The Last Decade

John T. Quinn

22 papers receiving 1.4k citations

Hit Papers

Motor-output variability:... 1979 2026 1994 2010 1979 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
John T. Quinn 1.2k 551 275 221 198 24 1.5k
Brian Hawkins 1.4k 1.1× 628 1.1× 307 1.1× 224 1.0× 221 1.1× 38 1.8k
Dan Southard 1.1k 0.9× 547 1.0× 351 1.3× 273 1.2× 134 0.7× 21 1.4k
Kunlin Wei 960 0.8× 745 1.4× 430 1.6× 134 0.6× 187 0.9× 62 1.6k
Stephen A. Wallace 827 0.7× 506 0.9× 255 0.9× 289 1.3× 164 0.8× 37 1.3k
Jeremy D. Wong 881 0.7× 700 1.3× 316 1.1× 116 0.5× 289 1.5× 31 1.4k
Aymar de Rugy 1.2k 1.0× 702 1.3× 422 1.5× 139 0.6× 197 1.0× 69 1.6k
Roland Sigrist 678 0.6× 357 0.6× 234 0.9× 242 1.1× 132 0.7× 24 1.3k
Douglas E. Young 863 0.7× 334 0.6× 376 1.4× 437 2.0× 133 0.7× 30 1.4k
Diane C. Shapiro 938 0.8× 348 0.6× 335 1.2× 474 2.1× 120 0.6× 16 1.3k
Laure Fernandez 835 0.7× 660 1.2× 189 0.7× 96 0.4× 168 0.8× 18 1.1k

Countries citing papers authored by John T. Quinn

Since Specialization
Citations

This map shows the geographic impact of John T. Quinn'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 John T. Quinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Quinn more than expected).

Fields of papers citing papers by John T. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Quinn. 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 John T. Quinn. The network helps show where John T. Quinn may publish in the future.

Co-authorship network of co-authors of John T. Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Quinn. A scholar is included among the top collaborators of John T. Quinn 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 John T. Quinn. John T. Quinn 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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