Mathematical Models and Methods in Applied Sciences

2.4k papers and 53.0k indexed citations i.

About

The 2.4k papers published in Mathematical Models and Methods in Applied Sciences in the last decades have received a total of 53.0k indexed citations. Papers published in Mathematical Models and Methods in Applied Sciences usually cover Computational Mechanics (824 papers), Computational Theory and Mathematics (681 papers) and Applied Mathematics (545 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (583 papers), Advanced Numerical Methods in Computational Mathematics (462 papers) and Mathematical Biology Tumor Growth (326 papers). The most active scholars publishing in Mathematical Models and Methods in Applied Sciences are Nicola Bellomo, Franco Brezzi, L. Beirão da Veiga, Κ. R. Rajagopal, A. Russo, Michael Winkler, Abdelghani Bellouquid, L. D. Marini, Tayfun E. Tezduyar and Kenji Takizawa.

In The Last Decade

Fields of papers published in Mathematical Models and Methods in Applied Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Models and Methods in Applied Sciences. 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 Mathematical Models and Methods in Applied Sciences.

Countries where authors publish in Mathematical Models and Methods in Applied Sciences

Since Specialization
Citations

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