Nonlinearity

4.8k papers and 85.6k indexed citations i.

About

The 4.8k papers published in Nonlinearity in the last decades have received a total of 85.6k indexed citations. Papers published in Nonlinearity usually cover Mathematical Physics (2.3k papers), Statistical and Nonlinear Physics (2.3k papers) and Applied Mathematics (1.1k papers) specifically the topics of Mathematical Dynamics and Fractals (1.3k papers), Quantum chaos and dynamical systems (1.3k papers) and Nonlinear Dynamics and Pattern Formation (708 papers). The most active scholars publishing in Nonlinearity are Robert S. MacKay, A. S. Fokas, Michel Peyrard, Andrew J. Majda, S. Aubry, Michael Winkler, Peter Constantin, Mark J. Ablowitz, Jonathan P. Keating and Alexander Mielke.

In The Last Decade

Fields of papers published in Nonlinearity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Nonlinearity. 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 Nonlinearity.

Countries where authors publish in Nonlinearity

Since Specialization
Citations

This map shows the geographic impact of research published in Nonlinearity. 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 Nonlinearity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nonlinearity 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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