John Wyller
- Statistical and Nonlinear Physics top 0.2%
- Nonlinear Waves and Solitons 21
- Nonlinear Photonic Systems 18
- stochastic dynamics and bifurcation 13
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- Advanced Fiber Laser Technologies 15
- Mathematical Physics top 5%
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- Nonlinear Dynamics and Pattern Formation 9
- Neural Networks Stability and Synchronization 6
- Astronomy and Astrophysics top 10%
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- Neural dynamics and brain function 15
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- Advanced Mathematical Modeling in Engineering 7
- Co-authors
- J. Juul RasmussenOle BangWiesław KrólikowskiE. MjølhusD. EdmundsonDragomir N. NeshevN.I. NikolovGaute T. Einevoll
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsMathematical Physics
In The Last Decade
John Wyller
66 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Statistical and Nonlinear Physics 1.6k
- Atomic and Molecular Physics, and Optics 1.4k
- Mathematical Physics 133
- Computer Networks and Communications 286
- Astronomy and Astrophysics 190
Countries citing papers authored by John Wyller
This map shows the geographic impact of John Wyller'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 Wyller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wyller more than expected).
Fields of papers citing papers by John Wyller
This network shows the impact of papers produced by John Wyller. 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 Wyller. The network helps show where John Wyller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Wyller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 14 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 6 | |
| 9 | 2013 | 5 | |
| 10 | 2012 | 7 | |
| 11 | 2012 | 13 | |
| 12 | 2012 | 16 | |
| 13 | 2007 | 7 | |
| 14 | 2005 | 8 | |
| 15 | 2004 | 66 | |
| 16 | 2002 | 437 | |
| 17 | 2002 | 181 | |
| 18 | 2001 | 321 | |
| 19 | 2001 | 8 | |
| 20 | 1998 | 11 |
About John Wyller
John Wyller is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (21 papers), Nonlinear Photonic Systems (18 papers), Advanced Fiber Laser Technologies (15 papers), Neural dynamics and brain function (15 papers), stochastic dynamics and bifurcation (13 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Neural Networks Stability and Synchronization (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.6k citations), Atomic and Molecular Physics, and Optics (1.4k citations), Mathematical Physics (133 citations), Computer Networks and Communications (286 citations) and Astronomy and Astrophysics (190 citations). John Wyller has collaborated with scholars based in Norway, Denmark and Sweden. Frequent co-authors include J. Juul Rasmussen, Ole Bang, Wiesław Królikowski, E. Mjølhus, D. Edmundson, Dragomir N. Neshev, N.I. Nikolov, Gaute T. Einevoll, Tor Flå and Nils Svanstedt. Their work appears in journals such as Physica D Nonlinear Phenomena, Nonlinear Analysis Real World Applications, Journal of Mathematical Analysis and Applications, Ecological Complexity and Chemometrics and Intelligent Laboratory Systems.
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.