J. C. Patterson

50 total papers · 1.4k total citations
34 papers, 1.1k citations indexed

About

J. C. Patterson is a scholar working on Computational Mechanics, Aerospace Engineering and Plant Science. According to data from OpenAlex, J. C. Patterson has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 18 papers in Aerospace Engineering and 4 papers in Plant Science. Recurrent topics in J. C. Patterson's work include Computational Fluid Dynamics and Aerodynamics (11 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Aerodynamics and Acoustics in Jet Flows (9 papers). J. C. Patterson is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (11 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Aerodynamics and Acoustics in Jet Flows (9 papers). J. C. Patterson collaborates with scholars based in United States, United Kingdom and Sweden. J. C. Patterson's co-authors include D. J. Manners, Alan J. Masson, Bengt Lindberg, Håkan Björndal, Ewing Lusk, Ralph Butler, T. Disz, Ross Overbeek, John Boyle and Barnett W. Glickfeld and has published in prestigious journals such as Journal of the American Chemical Society, Biochemical Journal and Inorganic Chemistry.

In The Last Decade

J. C. Patterson

33 papers receiving 969 citations

Hit Papers

The structure of a β-(1→3... 1973 2026 1990 2008 1973 100 200 300

Author Peers

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

Author Last Decade Papers Cites
J. C. Patterson 359 310 209 203 202 34 1.1k
Francisco Javier Las Heras‐Vázquez 331 0.9× 634 2.0× 96 0.5× 171 0.8× 136 0.7× 58 1.4k
Michael R. Leuze 160 0.4× 624 2.0× 91 0.4× 49 0.2× 91 0.5× 32 1.3k
Kenji Uchida 56 0.2× 413 1.3× 132 0.6× 34 0.2× 44 0.2× 98 1.3k
Won‐Jong Lee 125 0.3× 75 0.2× 223 1.1× 40 0.2× 34 0.2× 121 1.3k
Licong Zhang 64 0.2× 548 1.8× 43 0.2× 154 0.8× 88 0.4× 80 1.3k
Donglin Su 159 0.4× 94 0.3× 207 1.0× 46 0.2× 43 0.2× 195 1.4k
J. Tan 70 0.2× 118 0.4× 163 0.8× 227 1.1× 512 2.5× 43 1.2k
Akira Yamamoto 66 0.2× 219 0.7× 191 0.9× 30 0.1× 66 0.3× 129 1.3k
Yu‐Wei Chang 136 0.4× 380 1.2× 58 0.3× 20 0.1× 14 0.1× 49 938
Hongge Chen 157 0.4× 512 1.7× 364 1.7× 11 0.1× 46 0.2× 90 1.5k

Countries citing papers authored by J. C. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Patterson. 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 J. C. Patterson. The network helps show where J. C. Patterson may publish in the future.

Co-authorship network of co-authors of J. C. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Patterson. A scholar is included among the top collaborators of J. C. Patterson 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 J. C. Patterson. J. C. Patterson 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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