Replace SIAM Journal on Applied Dynamical Systems with:
SIAM Journal on Applied Dynamical SystemsUnited States
Studies in Applied MathematicsUnited States
Journal of Dynamics and Differential EquationsUnited States
European Journal of Applied MathematicsUnited Kingdom
The Annals of Applied ProbabilityUnited States
International Statistical ReviewUnited States
Statistical ScienceUnited States
Reports on Progress in PhysicsUnited States
Journal of Computational and Graphical StatisticsUnited States
Communications in Mathematical SciencesChina
SIAM Journal on Applied Dynamical SystemsUnited StatesView profile →
Citations per field, relative to Journal of Nonlinear Science
Journal of Nonlinear Science · 1×
×1.110.4kSNP
×1.98.1kCNC
×0.41.4kMP
×0.61.8kCM
×0.92.5kCSE
Citations per year, relative to Journal of Nonlinear Science
Journal of Nonlinear Science · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in Journal of Nonlinear Science
Since
Specialization
Citations
This map shows the geographic impact of research published in Journal of Nonlinear Science. 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 papers published in Journal of Nonlinear Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Nonlinear Science more than expected).
Fields of papers published in Journal of Nonlinear Science
This network shows the impact of papers published in Journal of Nonlinear Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in 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.