Arnd Scheel

3.6k citations
119 papers · 2.5k · h-index 28

Impact in

Papers in

Arnd Scheel

113 papers receiving 2.3k citations

Peers

Arnd Scheel
Comparison fields: 5 of 73
  • Statistical and Nonlinear Physics 1.0k
  • Computer Networks and Communications 1.5k
  • Numerical Analysis 246
  • Mathematical Physics 382
  • Modeling and Simulation 176
Replace Michael J. Ward with:
Michael J. Ward Canada
Tasso J. Kaper United States
S. P. Hastings United States
William C. Troy United States
Bernold Fiedler Germany
Théodore Kolokolnikov Canada
Wiktor Eckhaus Netherlands
Neil Fenichel United States
Kening Lu United States
Peter Szmolyan Austria
Arnd Scheel relative to Michael J. Ward Canada Michael J. Ward's profile →
Citations per field
00.5×1.5×
Michael J. Ward · 1×
Citations per year

Countries citing papers authored by Arnd Scheel

Since Specialization
Citations

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

Fields of papers citing papers by Arnd Scheel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000171
2 200498
3 199792
4 200788
5 200973
6 200171
7 199769
8 200564
9 199964
10 200857
11 200056
12 200155
13 199654
14 200251
15 200350
16 200846
17 200046
18 200145
19 200442
20 200340

About Arnd Scheel

Arnd Scheel is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Condensed Matter Physics and Numerical Analysis, having authored 119 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (75 papers), Quantum chaos and dynamical systems (29 papers), Advanced Mathematical Modeling in Engineering (25 papers), Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Stability and Controllability of Differential Equations (17 papers), Theoretical and Computational Physics (17 papers), Nonlinear Photonic Systems (16 papers) and Solidification and crystal growth phenomena (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computer Networks and Communications (1.5k citations), Numerical Analysis (246 citations), Mathematical Physics (382 citations) and Modeling and Simulation (176 citations). Arnd Scheel has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Björn Sandstede, Mariana Hărăguş, Claudia Wulff, Jens D. M. Rademacher, Matt Holzer, Bernold Fiedler, Ryan Goh, Guido Schneider, Grégory Faye and Arjen Doelman. Their work appears in journals such as Nonlinearity, Journal of Dynamics and Differential Equations, SIAM Journal on Applied Dynamical Systems, Journal of Differential Equations and Journal of Nonlinear Science.

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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