Applied Numerical Mathematics

4.5k papers and 71.1k indexed citations i.

About

The 4.5k papers published in Applied Numerical Mathematics in the last decades have received a total of 71.1k indexed citations. Papers published in Applied Numerical Mathematics usually cover Numerical Analysis (2.2k papers), Computational Mechanics (2.2k papers) and Computational Theory and Mathematics (1.4k papers) specifically the topics of Advanced Numerical Methods in Computational Mathematics (1.6k papers), Numerical methods for differential equations (1.2k papers) and Differential Equations and Numerical Methods (954 papers). The most active scholars publishing in Applied Numerical Mathematics are Mehdi Dehghan, Mark H. Carpenter, J. C. Butcher, Semyon Tsynkov, Xiaonan Wu, Zhi‐zhong Sun, Eli Turkel, L. F. Shampine, Zhaojun Bai and Charles Tadjeran.

In The Last Decade

Fields of papers published in Applied Numerical Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Applied Numerical Mathematics

Since Specialization
Citations

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