Jonathan McCoy

772 citations
9 papers · 611 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Jonathan McCoy

8 papers receiving 596 citations

Hit Papers

Imaging the Microscopic Structure of Shear Thinning and Thickening Colloidal Suspensions 2011 · 422 citations
4222011202620162021100200300400

Peers

Jonathan McCoy
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
Replace H See with:
H See Australia
R. Deam Australia
Ehssan Nazockdast United States
Christopher Ness United Kingdom
Kenneth W. Desmond United States
Ibrahim Cheddadi France
Élie Wandersman France
M. E. Cates United Kingdom
Tohru Okuzono Japan
Gabriel Juárez United States
Jonathan McCoy relative to H See Australia H See's profile →
Citations per field
00.5×1.5×1.9×
H See · 1×
Citations per year

Countries citing papers authored by Jonathan McCoy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jonathan McCoy Line = papers co-authored together Jonathan McCoy links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20250
2 20202
3 20164
4 201438
5 20136
6
Imaging the Microscopic Structure of Shear Thinning and Thickening Colloidal Suspensions
Hit paper breakdown →
2011422
7 200829
8 200816
9 200494

About Jonathan McCoy

Jonathan McCoy is a scholar working on Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics, Computer Networks and Communications, Condensed Matter Physics and Computational Mechanics, 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), Rheology and Fluid Dynamics Studies (2 papers), stochastic dynamics and bifurcation (2 papers), Material Dynamics and Properties (2 papers), Neural dynamics and brain function (1 paper), Ecosystem dynamics and resilience (1 paper) and Field-Flow Fractionation Techniques (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 Jacob N. Israelachvili, Itai Cohen, Xiang Cheng, Hod Lipson, Evan Variano, W. Pesch, Eberhard Bodenschatz, Brian Leahy, Stephan Weiss and Neil Y. C. Lin. Their work appears in journals such as Physical Review Letters, Physical review. E, New Journal of Physics, Science and Review of Scientific Instruments.

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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