Stephen Coombes

6.2k citations
141 papers · 4.1k · h-index 36

Impact in

Papers in

Stephen Coombes

140 papers receiving 3.9k citations

Peers

Stephen Coombes
Comparison fields: 5 of 134
  • Statistical and Nonlinear Physics 2.1k
  • Cognitive Neuroscience 2.6k
  • Computer Networks and Communications 1.8k
  • Cellular and Molecular Neuroscience 805
  • Cardiology and Cardiovascular Medicine 265
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Coombes

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Coombes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005324
2 2016180
3 2003131
4 2005120
5 2006115
6 2010106
7 2000105
8 2008104
9 1999103
10 2004103
11 200582
12 201179
13 201173
14 200773
15 199771
16 200762
17 201162
18 201860
19 200058
20 200957

About Stephen Coombes

Stephen Coombes is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Molecular Biology, having authored 141 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (88 papers), stochastic dynamics and bifurcation (77 papers), Nonlinear Dynamics and Pattern Formation (69 papers), Functional Brain Connectivity Studies (15 papers), Neuroscience and Neuropharmacology Research (10 papers), Neural Networks and Applications (10 papers), Photoreceptor and optogenetics research (10 papers) and Cardiac electrophysiology and arrhythmias (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.1k citations), Cognitive Neuroscience (2.6k citations), Computer Networks and Communications (1.8k citations), Cellular and Molecular Neuroscience (805 citations) and Cardiology and Cardiovascular Medicine (265 citations). Stephen Coombes has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Paul C. Bressloff, Markus R. Owen, Carlo R. Laing, Rachel Nicks, Gabriel J. Lord, Yulia Timofeeva, Rüdiger Thul, Martin D. Bootman, H. Llewelyn Roderick and Peter Ashwin. Their work appears in journals such as Physica D Nonlinear Phenomena, Physical Review Letters, SIAM Journal on Applied Dynamical Systems, Journal of Mathematical Biology and Physical review. E.

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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