Milan Journal of Mathematics

344 papers and 4.3k indexed citations i.

About

The 344 papers published in Milan Journal of Mathematics in the last decades have received a total of 4.3k indexed citations. Papers published in Milan Journal of Mathematics usually cover Applied Mathematics (170 papers), Computational Theory and Mathematics (141 papers) and Mathematical Physics (133 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (112 papers), Nonlinear Partial Differential Equations (98 papers) and Algebraic Geometry and Number Theory (38 papers). The most active scholars publishing in Milan Journal of Mathematics are А. А. Панков, Antonio Ambrosetti, Michel Pierre, Constantino Tsallis, Stanly Steinberg, Sabir Umarov, Vittorino Pata, Hatem Zaag, Benoı̂t Perthame and Lucilla Corrias.

In The Last Decade

Fields of papers published in Milan Journal of Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Milan Journal of 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 Milan Journal of Mathematics.

Countries where authors publish in Milan Journal of Mathematics

Since Specialization
Citations

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