ESAIM Mathematical Modelling and Numerical Analysis

45.3k citations
2.2k papers · · active since 1985

Impact in

Papers in

    • Advanced Numerical Methods in Computational Mathematics 754
    • Computational Fluid Dynamics and Aerodynamics 123
    • Numerical methods for differential equations 63

ESAIM Mathematical Modelling and Numerical Analysis

1.6k papers receiving 34.0k citations

Peers

ESAIM Mathematical Modelling and Numerical Analysis
Comparison fields: 5 of 120
  • Computational Mechanics 18.6k
  • Statistical and Nonlinear Physics 2.9k
  • Numerical Analysis 1.1k
  • Applied Mathematics 2.7k
  • Computational Theory and Mathematics 2.5k
Replace Advances in Computational Mathematics with:
Advances in Computational Mathematics United States
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences United Kingdom
IMA Journal of Numerical Analysis United Kingdom
Communications in Computational Physics China
Quarterly of Applied Mathematics United States
Mathematical Models and Methods in Applied Sciences France
Comptes Rendus Mathématique France
Journal of Scientific Computing China
Mathematics and Computers in Simulation China
International Journal of Engineering Science United States
ESAIM Mathematical Modelling and Numerical Analysis relative to Advances in Computational Mathematics United States Advances in Computational Mathematics's profile →
Citations per field
00.5×1.5×2.2×
Advances in Computational Mathematics · 1×
Citations per year

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).

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.

About ESAIM Mathematical Modelling and Numerical Analysis

The 2.2k papers published in ESAIM Mathematical Modelling and Numerical Analysis in the last decades have received a total of 45.3k indexed citations . Papers published in ESAIM Mathematical Modelling and Numerical Analysis usually cover Computational Mechanics (904 papers), Numerical Analysis (102 papers), Applied Mathematics (118 papers), Computational Theory and Mathematics (132 papers) and Modeling and Simulation (30 papers) specifically the topics of Advanced Numerical Methods in Computational Mathematics (754 papers), Computational Fluid Dynamics and Aerodynamics (123 papers), Advanced Mathematical Modeling in Engineering (79 papers), Numerical methods for differential equations (63 papers), Model Reduction and Neural Networks (51 papers), Navier-Stokes equation solutions (42 papers), Contact Mechanics and Variational Inequalities (37 papers) and Numerical methods in inverse problems (33 papers). The most active scholars publishing in ESAIM Mathematical Modelling and Numerical Analysis are Franco Brezzi, Jean‐Luc Guermond, Yvon Maday, Bernardo Cockburn, Douglas N. Arnold, Chi‐Wang Shu, Anthony T. Patera, Michael S. Vogelius, L. Beirão da Veiga and Alexandre Ern.

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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