John Burke

1.6k citations
18 papers · 1.2k · h-index 14

Impact in

Papers in

John Burke

17 papers receiving 1.1k citations

Peers

John Burke
Comparison fields: 5 of 60
  • Statistical and Nonlinear Physics 544
  • Computer Networks and Communications 883
  • Condensed Matter Physics 199
  • Computational Mechanics 246
  • Global and Planetary Change 199
Replace Gerhard Dangelmayr with:
Gerhard Dangelmayr United States
Mary Silber United States
Christian Elphick Chile
Harald Engel Germany
Bart E. Oldeman Canada
Arnd Scheel United States
James W. Swift United States
L. N. Howard United States
Tasso J. Kaper United States
Gregory Kozyreff Belgium
John Burke relative to Gerhard Dangelmayr United States Gerhard Dangelmayr's profile →
Citations per field
00.5×4.0×
Gerhard Dangelmayr · 1×
Citations per year

Countries citing papers authored by John Burke

Since Specialization
Citations

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

Fields of papers citing papers by John Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside John Burke, 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 John Burke Line = papers co-authored together John Burke links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2006248
2 2007202
3 2006146
4 2010114
5 201083
6 200872
7 200848
8 200946
9 201045
10 201244
11 201239
12 200637
13 201127
14 201217
15 200712
16 201510
17
Localized states in driven dissipative systems
20084
18
Spatially localized solutions of plane Couette flow
20101

About John Burke

John Burke is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Condensed Matter Physics, Public Health, Environmental and Occupational Health and Numerical Analysis, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (16 papers), stochastic dynamics and bifurcation (7 papers), Quantum chaos and dynamical systems (4 papers), Theoretical and Computational Physics (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Nonlinear Photonic Systems (2 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (544 citations), Computer Networks and Communications (883 citations), Condensed Matter Physics (199 citations), Computational Mechanics (246 citations) and Global and Planetary Change (199 citations). John Burke has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Edgar Knobloch, John Gibson, Tobias M. Schneider, Arik Yochelis, Tasso J. Kaper, Jonathan Dawes, Mark Kramer, Isabel Mercader, Alain Bergeon and Daniele Avitabile. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters, Physics Letters A and Physica D Nonlinear Phenomena.

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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