Jonathan D. Evans

59 papers receiving 832 citations

Peers

Jonathan D. Evans
Comparison fields: 5 of 82
  • Fluid Flow and Transfer Processes 157
  • Computational Mechanics 282
  • Numerical Analysis 62
  • Finance 89
  • Statistical and Nonlinear Physics 109
Replace Kalvis M. Jansons with:
Kalvis M. Jansons United Kingdom
Michiel Bertsch Italy
Waranont Anukool Thailand
Vakhtang Putkaradze United States
Dmitry Anatolievich Bratsun Russia
Armand Siegel United States
Pedro L. Garrido Spain
Ramabhadra Vasudevan India
Roman O. Grigoriev United States
Granville Sewell United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan D. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Evans. 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 D. Evans. The network helps show where Jonathan D. Evans may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan D. Evans, 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 D. Evans Line = papers co-authored together Jonathan D. Evans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199377
2 200274
3 199873
4 199363
5 200060
6 200742
7 200735
8 200730
9 200830
10 200629
11 200728
12 200525
13 199219
14 200018
15 200418
16 200817
17 201817
18 200515
19 200315
20 201714

About Jonathan D. Evans

Jonathan D. Evans is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Statistical and Nonlinear Physics, Cognitive Neuroscience and Materials Chemistry, having authored 65 papers that have together received 889 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (24 papers), Fluid Dynamics and Turbulent Flows (15 papers), Neural dynamics and brain function (12 papers), Solidification and crystal growth phenomena (11 papers), stochastic dynamics and bifurcation (9 papers), Fluid Dynamics and Thin Films (9 papers), Neuroscience and Neural Engineering (8 papers) and Fluid Dynamics and Vibration Analysis (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (157 citations), Computational Mechanics (282 citations), Numerical Analysis (62 citations), Finance (89 citations) and Statistical and Nonlinear Physics (109 citations). Jonathan D. Evans has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Guy Major, John R. King, Victor A. Galaktionov, Will E. Featherstone, Joseph Bishop Keller, Rachel Kuske, Julian Jack, Cassio Machiaveli Oishi, G. Kember and Jim Williams. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Physics of Fluids, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Biophysical Journal and European Journal of Applied Mathematics.

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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