Computational Methods in Applied Mathematics

757 papers and 6.3k indexed citations i.

About

The 757 papers published in Computational Methods in Applied Mathematics in the last decades have received a total of 6.3k indexed citations. Papers published in Computational Methods in Applied Mathematics usually cover Computational Mechanics (417 papers), Numerical Analysis (285 papers) and Computational Theory and Mathematics (273 papers) specifically the topics of Advanced Numerical Methods in Computational Mathematics (364 papers), Differential Equations and Numerical Methods (192 papers) and Advanced Mathematical Modeling in Engineering (187 papers). The most active scholars publishing in Computational Methods in Applied Mathematics are Boris N. Khoromskij, Alexandre Ern, Martin Stynes, Daniele A. Di Pietro, Olaf Steinbach, Carsten Carstensen, Piet Hemker, Ivan Oseledets, П. П. Матус and Mohammed Seaı̈d.

In The Last Decade

Fields of papers published in Computational Methods in Applied Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Computational Methods in Applied Mathematics

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Methods 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 Computational Methods 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 Computational Methods 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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