Dan Wilson

83 papers receiving 1.4k citations

Peers

Dan Wilson
Comparison fields: 5 of 141
  • Statistical and Nonlinear Physics 406
  • Geriatrics and Gerontology 75
  • Cognitive Neuroscience 356
  • Computer Networks and Communications 393
  • Cellular and Molecular Neuroscience 277
Replace M. Moser with:
M. Moser Austria
Walter G. Sannita Italy
Hans Braun Germany
Martin Huber Germany
Enrico Amico United States
Wolfgang Kruse Germany
Jean-François Vibert France
L. Harrison United Kingdom
Tetsuya Takahashi Japan
David Paydarfar United States
Dan Wilson relative to M. Moser Austria M. Moser's profile →
Citations per field
00.5×10×12.7×
M. Moser · 1×
Citations per year

Countries citing papers authored by Dan Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 201673
3 201669
4 201868
5 201464
6 201757
7 201456
8 201545
9 200945
10 202036
11 201935
12 201930
13 201429
14 201129
15 201927
16 201526
17 201925
18 202024
19 201523
20 202021

About Dan Wilson

Dan Wilson is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Plant Science, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), Neural dynamics and brain function (20 papers), Model Reduction and Neural Networks (17 papers), Neuroscience and Neural Engineering (13 papers), stochastic dynamics and bifurcation (11 papers), Insect behavior and control techniques (11 papers), Neurological disorders and treatments (9 papers) and Insect Pest Control Strategies (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (406 citations), Geriatrics and Gerontology (75 citations), Cognitive Neuroscience (356 citations), Computer Networks and Communications (393 citations) and Cellular and Molecular Neuroscience (277 citations). Dan Wilson has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include Jeff Moehlis, Bard Ermentrout, Théoden I. Netoff, Abbey B. Holt, Youngmin Park, Maxwell Shinn, Fidelis C.K. Ocloo, Stanley J. Kays, Ray F. Severson and Stuart J. Fairclough. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, Physica D Nonlinear Phenomena and Entomologia Experimentalis et Applicata.

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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