S.N. Chow

1.0k citations
16 papers · 777 indexed · h-index 10

Impact in

Papers in

S.N. Chow

15 papers receiving 691 citations

Peers

S.N. Chow
Comparison fields: 5 of 71
  • Numerical Analysis 213
  • Applied Mathematics 193
  • Geometry and Topology 150
  • Statistical and Nonlinear Physics 207
  • Computational Theory and Mathematics 265
Replace Bernd Aulbach with:
Bernd Aulbach Germany
T. Yoshizawa Japan
N. Rouche Belgium
V. М. Alekseev Russia
Pavol Brunovský Slovakia
А. М. Самойленко Ukraine
Fritz Colonius Germany
Tassilo Küpper Germany
Roberto Conti Italy
Patrick J. Rabier United States
S.N. Chow relative to Bernd Aulbach Germany Bernd Aulbach's profile →
Citations per field
00.5×1.5×2.4×
Bernd Aulbach · 1×
Citations per year

Countries citing papers authored by S.N. Chow

Since Specialization
Citations

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

Fields of papers citing papers by S.N. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.N. Chow. 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 S.N. Chow. The network helps show where S.N. Chow may publish in the future.

Co-authors

The 14 scholars most cited alongside S.N. Chow, 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 S.N. Chow Line = papers co-authored together S.N. Chow links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201237
2 19958
3 1995176
4 199533
5 19944
6 199425
7 19943
8 199235
9 1990118
10 199034
11 19800
12 1978271
13 197411
14 197313
15 19726
16 19723

About S.N. Chow

S.N. Chow is a scholar working on Applied Mathematics, Geometry and Topology, Mathematical Physics, Computational Theory and Mathematics and General Social Sciences, having authored 16 papers that have together received 777 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (4 papers), Stability and Controllability of Differential Equations (4 papers), Advanced Differential Equations and Dynamical Systems (4 papers), Functional Equations Stability Results (3 papers), Optimization and Variational Analysis (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Quantum chaos and dynamical systems (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Numerical Analysis (213 citations), Applied Mathematics (193 citations), Geometry and Topology (150 citations), Statistical and Nonlinear Physics (207 citations) and Computational Theory and Mathematics (265 citations). S.N. Chow has collaborated with scholars based in United States and Germany. Frequent co-authors include John Mallet‐Paret, James A. Yorke, Hugo Leiva, Bo Deng, Bernold Fiedler, Kening Lu, Jack K. Hale, David Terman, Jerry W. Taylor and Sebastián Acosta. Their work appears in journals such as Journal of Differential Equations, Proceedings of the American Mathematical Society, SIAM Journal on Mathematical Analysis, Journal of Mathematical Analysis and Applications and Mathematics of Computation.

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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