Nonlinearity

3.9k papers and 69.4k indexed citations
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About

The 3.9k papers published in Nonlinearity in the last decades have received a total of 69.4k indexed citations. Papers published in Nonlinearity usually cover Statistical and Nonlinear Physics (1.8k papers), Mathematical Physics (1.8k papers) and Applied Mathematics (857 papers) specifically the topics of Quantum chaos and dynamical systems (1.0k papers), Mathematical Dynamics and Fractals (1.0k papers) and Nonlinear Dynamics and Pattern Formation (596 papers). The most active scholars publishing in Nonlinearity are Robert S. MacKay, A. S. Fokas, S. Aubry, Andrew J. Majda, Michel Peyrard, Michael Winkler, Peter Constantin, Mark J. Ablowitz, Alexander Mielke and Mark J. Panaggio.

In The Last Decade

Nonlinearity

3.5k papers receiving 63.4k citations

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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