Countries where authors publish in Dynamical Systems
Since Specialization
Citations
This map shows the geographic impact of research published in 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 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 Dynamical Systems more than expected).
This network shows the impact of papers published in 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 Dynamical Systems.
About Dynamical Systems
The 596 papers published in Dynamical Systems in the last decades have received a total of 4.1k indexed citations . Papers published in Dynamical Systems usually cover Mathematical Physics (323 papers), Statistical and Nonlinear Physics (273 papers) and Geometry and Topology (178 papers) specifically the topics of Mathematical Dynamics and Fractals (288 papers), Quantum chaos and dynamical systems (178 papers), Advanced Differential Equations and Dynamical Systems (115 papers), Nonlinear Dynamics and Pattern Formation (114 papers), Chaos control and synchronization (83 papers), Stability and Controllability of Differential Equations (70 papers), Mathematical and Theoretical Epidemiology and Ecology Models (46 papers) and Stochastic processes and statistical mechanics (33 papers). The most active scholars publishing in Dynamical Systems are Josep J. Masdemont, Yingxin Guo, Tewfik Sari, Jean‐Luc Gouzé, D. R. J. Chillingworth, Michael Field, Pieter Collins, Daniel J. Thompson, Dimitris P. Tsakiris and P. S. Krishnaprasad.
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.