Jonathan McCoy
Impact in
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- Rheology and Fluid Dynamics Studies
- Computational Mechanics top 10%
- Granular flow and fluidized beds
Papers in
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- Nonlinear Dynamics and Pattern Formation 4
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- Gene Regulatory Network Analysis 3
- Co-authors
- Itai Cohen (2 shared papers)Xiang Cheng (2 shared papers)Jacob N. Israelachvili (2 shared papers)Evan Variano (1 shared paper)Hod Lipson (1 shared paper)Eberhard Bodenschatz (2 shared papers)W. Pesch (2 shared papers)Neil Y. C. Lin (1 shared paper)
- Journals
- Physical Review Letters (3 papers)Physical review. E (2 papers)New Journal of Physics (1 paper)Review of Scientific Instruments (1 paper)Science (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Jonathan McCoy
8 papers receiving 596 citations
Jonathan McCoy's Hit Papers
Peers
Comparison fields: 5 of 96
- Fluid Flow and Transfer Processes 141
- Computational Mechanics 141
- Materials Chemistry 245
- Statistical and Nonlinear Physics 59
- Polymers and Plastics 65
Countries citing papers authored by Jonathan McCoy
This map shows the geographic impact of Jonathan McCoy'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 Jonathan McCoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan McCoy more than expected).
Fields of papers citing papers by Jonathan McCoy
This network shows the impact of papers produced by Jonathan McCoy. 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 Jonathan McCoy. The network helps show where Jonathan McCoy may publish in the future.
Co-authors
The 13 scholars most cited alongside Jonathan McCoy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Imaging the Microscopic Structure of Shear Thinning and Thickening Colloidal Suspensions Hit paper breakdown → | 2011 | 422 |
| 2 | 2004 | 94 | |
| 3 | 2014 | 38 | |
| 4 | 2008 | 29 | |
| 5 | 2008 | 16 | |
| 6 | 2013 | 6 | |
| 7 | 2016 | 4 | |
| 8 | 2020 | 2 | |
| 9 | 2025 | 0 |
About Jonathan McCoy
Jonathan McCoy is a scholar working on Computer Networks and Communications, Molecular Biology, Statistical and Nonlinear Physics, Biomedical Engineering and Condensed Matter Physics, having authored 9 papers that have together received 611 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (4 papers), Gene Regulatory Network Analysis (3 papers), Material Dynamics and Properties (2 papers), Rheology and Fluid Dynamics Studies (2 papers), stochastic dynamics and bifurcation (2 papers), Complex Network Analysis Techniques (1 paper), Field-Flow Fractionation Techniques (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (141 citations), Computational Mechanics (141 citations), Materials Chemistry (245 citations), Statistical and Nonlinear Physics (59 citations) and Polymers and Plastics (65 citations). Jonathan McCoy has collaborated with scholars based in United States and Germany. Frequent co-authors include Itai Cohen, Xiang Cheng, Jacob N. Israelachvili, Evan Variano, Hod Lipson, Eberhard Bodenschatz, W. Pesch, Neil Y. C. Lin, Stephan Weiss and Brian Leahy. Their work appears in journals such as Physical Review Letters, Physical review. E, New Journal of Physics, Review of Scientific Instruments and Science.
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.