Countries where authors publish in SIAM Journal on Applied Dynamical Systems
Since Specialization
Citations
This map shows the geographic impact of research published in SIAM Journal on Applied Dynamical Systems. 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 SIAM Journal on Applied Dynamical Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SIAM Journal on Applied Dynamical Systems more than expected).
Fields of papers published in SIAM Journal on Applied Dynamical Systems
This network shows the impact of papers published in SIAM Journal on Applied Dynamical Systems. 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 SIAM Journal on Applied Dynamical Systems.
About SIAM Journal on Applied Dynamical Systems
The 1.4k papers published in SIAM Journal on Applied Dynamical Systems in the last decades have received a total of 28.7k indexed citations . Papers published in SIAM Journal on Applied Dynamical Systems usually cover Geometry and Topology (376 papers), Statistical and Nonlinear Physics (311 papers), Mathematical Physics (315 papers), Numerical Analysis (120 papers) and Computer Networks and Communications (440 papers) specifically the topics of Nonlinear Dynamics and Pattern Formation (421 papers), Advanced Differential Equations and Dynamical Systems (370 papers), Mathematical Dynamics and Fractals (239 papers), Mathematical and Theoretical Epidemiology and Ecology Models (126 papers), Model Reduction and Neural Networks (100 papers), Neural dynamics and brain function (80 papers), Differential Equations and Numerical Methods (73 papers) and Chaos control and synchronization (64 papers). The most active scholars publishing in SIAM Journal on Applied Dynamical Systems are J Nathan Kutz, Steven L. Brunton, Joshua L. Proctor, Martin Wechselberger, John M. Guckenheimer, Xiao‐Qiang Zhao, Georg A. Gottwald, Martin Golubitsky, Carlo R. Laing and Wendi Wang.
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.