SIAM Journal on Applied Mathematics

5.7k papers and 155.6k indexed citations

About

The 5.7k papers published in SIAM Journal on Applied Mathematics in the last decades have received a total of 155.6k indexed citations. Papers published in SIAM Journal on Applied Mathematics usually cover Computational Theory and Mathematics (1.0k papers), Statistical and Nonlinear Physics (948 papers) and Computational Mechanics (934 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (558 papers), Nonlinear Dynamics and Pattern Formation (503 papers) and Numerical methods in inverse problems (470 papers). The most active scholars publishing in SIAM Journal on Applied Mathematics are Donald W. Marquardt, B. J. Matkowsky, David Schmeidler, Ron Graham, James P. Keener, Joseph B. Keller, Tony F. Chan, Hal L. Smith, Jianhong Shen and David Sankoff.

In The Last Decade

SIAM Journal on Applied Mathematics

5.4k papers receiving 138.4k citations

Fields of papers published in SIAM Journal on Applied Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in SIAM Journal on 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 SIAM Journal on Applied Mathematics.

Countries where authors publish in SIAM Journal on Applied Mathematics

Since Specialization
Citations

This map shows the geographic impact of research published in SIAM Journal on 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 SIAM Journal on 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 SIAM Journal on 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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2026