ESAIM. Mathematical modelling and numerical analysis

241 papers and 644 indexed citations i.

About

The 241 papers published in ESAIM. Mathematical modelling and numerical analysis in the last decades have received a total of 644 indexed citations. Papers published in ESAIM. Mathematical modelling and numerical analysis usually cover Computational Mechanics (151 papers), Computational Theory and Mathematics (70 papers) and Numerical Analysis (57 papers) specifically the topics of Advanced Numerical Methods in Computational Mathematics (104 papers), Advanced Mathematical Modeling in Engineering (59 papers) and Computational Fluid Dynamics and Aerodynamics (45 papers). The most active scholars publishing in ESAIM. Mathematical modelling and numerical analysis are Xiaofeng Yang, Charles-Édouard Bréhier, Andre Laestadius, Jilu Wang, Jan S. Hesthaven, Cheng Wang, Liwei Xu, Gabriel N. Gatica, Christian Klingenberg and Guang‐an Zou.

In The Last Decade

Fields of papers published in ESAIM. Mathematical modelling and numerical analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ESAIM. Mathematical modelling and numerical analysis. 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 ESAIM. Mathematical modelling and numerical analysis.

Countries where authors publish in ESAIM. Mathematical modelling and numerical analysis

Since Specialization
Citations

This map shows the geographic impact of research published in ESAIM. Mathematical modelling and numerical analysis. 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 ESAIM. Mathematical modelling and numerical analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ESAIM. Mathematical modelling and numerical analysis 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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2025