Mathematical Methods in the Applied Sciences

9.2k papers and 89.0k indexed citations i.

About

The 9.2k papers published in Mathematical Methods in the Applied Sciences in the last decades have received a total of 89.0k indexed citations. Papers published in Mathematical Methods in the Applied Sciences usually cover Applied Mathematics (3.5k papers), Computational Theory and Mathematics (2.4k papers) and Mathematical Physics (2.3k papers) specifically the topics of Advanced Mathematical Modeling in Engineering (1.9k papers), Fractional Differential Equations Solutions (1.6k papers) and Stability and Controllability of Differential Equations (1.2k papers). The most active scholars publishing in Mathematical Methods in the Applied Sciences are Michael Winkler, Behzad Ghanbari, Helmut Neunzert, Abdul–Majid Wazwaz, Dumitru Băleanu, Salim A. Messaoudi, Mehdi Dehghan, Jean-Claude Nédélec, Tao Qian and P. Werner.

In The Last Decade

Fields of papers published in Mathematical Methods in the Applied Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Mathematical Methods in the Applied Sciences

Since Specialization
Citations

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