Jonathan Bell

46 papers receiving 918 citations

Peers

Jonathan Bell
Comparison fields: 5 of 122
  • Modeling and Simulation 87
  • Numerical Analysis 89
  • Cognitive Neuroscience 299
  • Statistical and Nonlinear Physics 159
  • Computer Networks and Communications 246
Replace Allan Richard Willms with:
Allan Richard Willms Canada
Uwe an der Heiden Germany
Matt Quinn United Kingdom
Tomáš Gedeon United States
Hil G. E. Meijer Netherlands
Qishao Lu China
Fatihcan M. Atay Germany
Daniele Avitabile United Kingdom
Nancy Kopell United States
Kathleen A. Hoffman United States
Jonathan Bell relative to Allan Richard Willms Canada Allan Richard Willms's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Bell

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jonathan Bell, 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 Bell Line = papers co-authored together Jonathan Bell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994217
2 1984145
3 1981110
4 200894
5 198666
6 199236
7 199431
8 201522
9 198419
10 199019
11 198118
12 199016
13 199516
14 202015
15 201714
16 202112
17 197912
18 200910
19 200510
20 20129

About Jonathan Bell

Jonathan Bell is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Modeling and Simulation, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 47 papers that have together received 988 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), stochastic dynamics and bifurcation (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Mathematical Biology Tumor Growth (8 papers), Lipid Membrane Structure and Behavior (5 papers), Evolution and Genetic Dynamics (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Modeling and Simulation (87 citations), Numerical Analysis (89 citations), Cognitive Neuroscience (299 citations), Statistical and Nonlinear Physics (159 citations) and Computer Networks and Communications (246 citations). Jonathan Bell has collaborated with scholars based in United States, Thailand and Kazakhstan. Frequent co-authors include Mark H. Holmes, Chris Cosner, Stanley J. Bolanowski, Brian Hassard, Sergei Anatol'evich Avdonin, Ying Zhou, L. Pamela Cook, Harold M. Pinsker, Petr Slavı́k and Yongwimon Lenbury. Their work appears in journals such as Mathematical Biosciences, SIAM Journal on Applied Mathematics, Journal of Mathematical Biology, Mathematical Medicine and Biology A Journal of the IMA and Mathematical Methods in the Applied 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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