Jonathan Bell

1.3k citations
45 papers · 897 indexed · h-index 14
Topics
Neural dynamics and brain function (18 papers)stochastic dynamics and bifurcation (11 papers)Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)

In The Last Decade

Jonathan Bell

44 papers receiving 833 citations

Peers

Jonathan Bell
Comparison fields: 5 of 128
  • Cognitive Neuroscience 265
  • Computer Networks and Communications 234
  • Control and Systems Engineering 160
  • Statistical and Nonlinear Physics 151
  • Public Health, Environmental and Occupational Health 127
Replace Uwe an der Heiden with:
Uwe an der Heiden Germany
Tomáš Gedeon United States
Hil G. E. Meijer Netherlands
Matt Quinn United Kingdom
Qishao Lu China
Nancy Kopell United States
Daniele Avitabile United Kingdom
Kathleen Hoffman United States
Pietro-Luciano Buono Canada
Steven M. Baer United States
Jonathan Bell relative to Uwe an der Heiden Germany Uwe an der Heiden's profile →
Citations per field
00.5×3.1×
Uwe an der Heiden · 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-authorship network of co-authors of Jonathan Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Bell. A scholar is included among the top collaborators of Jonathan Bell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Bell. Jonathan Bell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 4
3 4
4 8
5 8
6 1
7 10
8 1
9 1
10 16
11 185
12 29
13 5
14 33
15 19
16 2
17 3
18 139
19 16
20 6

About Jonathan Bell

Jonathan Bell is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 45 papers that have together received 897 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), stochastic dynamics and bifurcation (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). The work is most often cited by research in Modeling and Simulation (80 citations), Numerical Analysis (83 citations) and Cognitive Neuroscience (265 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, L. Pamela Cook, Petr Slavı́k and Gheorghe Crăciun. Their work appears in journals such as Progress in Neurobiology, Journal of Computational Chemistry and SIAM Review.

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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