Studies in Applied Mathematics

1.8k papers and 39.9k indexed citations i.

About

The 1.8k papers published in Studies in Applied Mathematics in the last decades have received a total of 39.9k indexed citations. Papers published in Studies in Applied Mathematics usually cover Statistical and Nonlinear Physics (827 papers), Computational Mechanics (320 papers) and Mathematical Physics (313 papers) specifically the topics of Nonlinear Waves and Solitons (656 papers), Nonlinear Photonic Systems (438 papers) and Advanced Mathematical Physics Problems (222 papers). The most active scholars publishing in Studies in Applied Mathematics are Mark J. Ablowitz, P. G. Saffman, D. J. Kaup, D. J. Benney, Yan‐Chow Ma, Élliott H. Lieb, Harvey Segur, Roger Grimshaw, Alan C. Newell and Jianke Yang.

In The Last Decade

Fields of papers published in Studies in Applied Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Studies in Applied Mathematics. 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 Studies in Applied Mathematics.

Countries where authors publish in Studies in Applied Mathematics

Since Specialization
Citations

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