Norbert Euler

924 citations
68 papers · 570 · h-index 14

Impact in

Papers in

Norbert Euler

60 papers receiving 520 citations

Peers

Norbert Euler
Comparison fields: 5 of 56
  • Statistical and Nonlinear Physics 418
  • Numerical Analysis 142
  • Modeling and Simulation 85
  • Geometry and Topology 153
  • Algebra and Number Theory 43
Replace В. А. Байков with:
В. А. Байков Russia
Anatoly Georgievich Meshkov Russia
Roman Kozlov Norway
Alexey Vasil'yevich Samokhin Russia
Alexander Bihlo Canada
Man Jia China
Raffaele F. Vitolo Italy
Oleg Viktorovich Kaptsov Russia
Jing-Jing Su China
Yi A. Li United States
Norbert Euler relative to В. А. Байков Russia В. А. Байков's profile →
Citations per field
00.5×2×4×6.1×
В. А. Байков · 1×
Citations per year

Countries citing papers authored by Norbert Euler

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Euler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Norbert Euler, 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 Norbert Euler Line = papers co-authored together Norbert Euler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200347
2 200746
3 200445
4 199235
5 199231
6 199429
7 199724
8 199624
9 198920
10 201019
11 200317
12 200317
13 199416
14 199114
15 200114
16 200110
17 20029
18 20188
19 20038
20 20177

About Norbert Euler

Norbert Euler is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Numerical Analysis, Mathematical Physics and Algebra and Number Theory, having authored 68 papers that have together received 570 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (50 papers), Nonlinear Photonic Systems (29 papers), Numerical methods for differential equations (15 papers), Quantum chaos and dynamical systems (14 papers), Advanced Differential Equations and Dynamical Systems (12 papers), Algebraic structures and combinatorial models (8 papers), Advanced Mathematical Physics Problems (7 papers) and Molecular spectroscopy and chirality (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (418 citations), Numerical Analysis (142 citations), Modeling and Simulation (85 citations), Geometry and Topology (153 citations) and Algebra and Number Theory (43 citations). Norbert Euler has collaborated with scholars based in Sweden, South Africa and Italy. Frequent co-authors include Marianna Euler, W.‐H. Steeb, P. G. L. Leach, A. Köhler, Olivier Dubrule, J.H.J. Van Vuren, Victor Wepener, Hein H Du Preez, Nils Anders Petersson and Da‐jun Zhang. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Studies in Applied Mathematics, Discrete and Continuous Dynamical Systems, Mathematical Methods in the Applied Sciences and Progress of Theoretical Physics.

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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