Jonathan Dawes

58 papers receiving 1.2k citations

Peers

Jonathan Dawes
Comparison fields: 5 of 142
  • Statistical and Nonlinear Physics 228
  • Computer Networks and Communications 405
  • Modeling and Simulation 70
  • Condensed Matter Physics 108
  • Public Health, Environmental and Occupational Health 219
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Rachel Kuske United States
A. M. Rucklidge United Kingdom
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Denis Boyer Mexico
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Citations per year

Countries citing papers authored by Jonathan Dawes

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Dawes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013137
2 201983
3 202073
4 200868
5 200865
6 201157
7 201055
8 200255
9 202151
10 201239
11 202136
12 200735
13 201032
14 200930
15 200530
16 202128
17 202326
18 200924
19 201523
20 201521

About Jonathan Dawes

Jonathan Dawes is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Condensed Matter Physics, Molecular Biology and Computational Mechanics, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (26 papers), Theoretical and Computational Physics (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Nonlinear Photonic Systems (6 papers), Brake Systems and Friction Analysis (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Quantum chaos and dynamical systems (5 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (228 citations), Computer Networks and Communications (405 citations), Modeling and Simulation (70 citations), Condensed Matter Physics (108 citations) and Public Health, Environmental and Occupational Health (219 citations). Jonathan Dawes has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Max O. Souza, Thibaut Putelat, J.R. Willis, Julia R. Gog, Claire Postlethwaite, John Burke, Stephen W. Morris, Chris Taylor, Robert N. Kelsh and John R. Lister. Their work appears in journals such as Physica D Nonlinear Phenomena, Journal of the Mechanics and Physics of Solids, SIAM Journal on Applied Dynamical Systems, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Nonlinearity.

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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