Jonathan D. Evans

60 papers receiving 819 citations

Peers

Jonathan D. Evans
Comparison fields: 5 of 81
  • Fluid Flow and Transfer Processes 151
  • Computational Mechanics 273
  • Finance 122
  • Numerical Analysis 64
  • Statistical and Nonlinear Physics 111
Replace Kalvis M. Jansons with:
Kalvis M. Jansons United Kingdom
Michiel Bertsch Italy
Waranont Anukool Thailand
Leonid Kalachev United States
Vakhtang Putkaradze United States
Dmitry Bratsun Russia
Armand Siegel United States
Eric Goles Chile
Granville Sewell United States
Pedro L. Garrido Spain
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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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 199376
3 199865
4 200060
5 199360
6 200740
7 200732
8 200831
9 200628
10 200727
11 200726
12 200525
13
American Options on Assets with Dividends Near Expiry
200322
14 200818
15 200417
16 199217
17 200016
18 201816
19 200514
20 200314

About Jonathan D. Evans

Jonathan D. Evans is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Materials Chemistry, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 66 papers that have together received 883 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), Neuroscience and Neural Engineering (8 papers), Fluid Dynamics and Thin Films (8 papers) and Blood properties and coagulation (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (151 citations), Computational Mechanics (273 citations), Finance (122 citations), Numerical Analysis (64 citations) and Statistical and Nonlinear Physics (111 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, Joseph B. Keller, Rachel Kuske, W. E. Featherstone, Julian Jack, Cássio M. Oishi, G. Kember and David N. Sibley. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Physics of Fluids, European Journal of Applied Mathematics, Biophysical Journal and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

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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