Jonathan Bell

44 papers receiving 847 citations

Peers

Jonathan Bell
Comparison fields: 5 of 122
  • Modeling and Simulation 82
  • Numerical Analysis 83
  • Cognitive Neuroscience 267
  • Statistical and Nonlinear Physics 151
  • Computer Networks and Communications 234
Replace Allan R. Willms with:
Allan R. Willms Canada
Uwe an der Heiden Germany
Tomáš Gedeon United States
Hil G. E. Meijer Netherlands
Matt Quinn United Kingdom
Qishao Lu China
Fatihcan M. Atay Germany
Nancy Kopell United States
Daniele Avitabile United Kingdom
Yanmei Kang China
Jonathan Bell relative to Allan R. Willms Canada Allan R. Willms's profile →
Citations per field
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Allan R. Willms · 1×
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994188
2 1984140
3 1981103
4 200891
5 198660
6 199233
7 199429
8 201521
9 199019
10 198117
11 199516
12 198416
13 202015
14 199015
15 201712
16 202111
17 200510
18 200910
19 197910
20 20179

About Jonathan Bell

Jonathan Bell is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Computer Networks and Communications and Molecular Biology, having authored 45 papers that have together received 911 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), stochastic dynamics and bifurcation (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Mathematical Biology Tumor Growth (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Evolution and Genetic Dynamics (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Stability and Controllability of Differential Equations (4 papers). The work is most often cited by research in Modeling and Simulation (82 citations), Numerical Analysis (83 citations), Cognitive Neuroscience (267 citations), Statistical and Nonlinear Physics (151 citations) and Computer Networks and Communications (234 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 Avdonin, Ying Zhou, Harold M. Pinsker, Petr Slavı́k, L. Pamela Cook and Gheorghe Crăciun. Their work appears in journals such as Mathematical Biosciences, SIAM Journal on Applied Mathematics, Mathematical Medicine and Biology A Journal of the IMA, Journal of Mathematical Biology 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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