SIAM Journal on Applied Dynamical Systems

1.3k papers and 24.5k indexed citations i.

About

The 1.3k papers published in SIAM Journal on Applied Dynamical Systems in the last decades have received a total of 24.5k indexed citations. Papers published in SIAM Journal on Applied Dynamical Systems usually cover Statistical and Nonlinear Physics (705 papers), Computer Networks and Communications (549 papers) and Molecular Biology (181 papers) specifically the topics of Nonlinear Dynamics and Pattern Formation (527 papers), Quantum chaos and dynamical systems (260 papers) and stochastic dynamics and bifurcation (221 papers). The most active scholars publishing in SIAM Journal on Applied Dynamical Systems are J. Nathan Kutz, Steven L. Brunton, John Guckenheimer, Martin Wechselberger, Joshua L. Proctor, Xiao‐Qiang Zhao, Georg A. Gottwald, Martin Golubitsky, Carlo R. Laing and Ian Melbourne.

In The Last Decade

Fields of papers published in SIAM Journal on Applied Dynamical Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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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