Applied Mathematics Letters

7.9k papers and 112.0k indexed citations i.

About

The 7.9k papers published in Applied Mathematics Letters in the last decades have received a total of 112.0k indexed citations. Papers published in Applied Mathematics Letters usually cover Applied Mathematics (2.7k papers), Computational Theory and Mathematics (2.3k papers) and Numerical Analysis (1.7k papers) specifically the topics of Nonlinear Differential Equations Analysis (1.2k papers), Advanced Mathematical Modeling in Engineering (954 papers) and Differential Equations and Numerical Methods (867 papers). The most active scholars publishing in Applied Mathematics Letters are Guy Jumarie, Muhammad Aslam Noor, Ravi P. Agarwal, Abdul–Majid Wazwaz, Xin-Yi Gao, H. M. Srivastava, ‎Soon-Mo Jung, Francesco Mainardi, Sever S Dragomir and Juan J. Nieto.

In The Last Decade

Fields of papers published in Applied Mathematics Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Applied Mathematics Letters

Since Specialization
Citations

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