Mathematical Models and Methods in Applied Sciences

53.6k citations
2.2k papers · · active since 1950

Impact in

Papers in

Mathematical Models and Methods in Applied Sciences

2.1k papers receiving 49.7k citations

Peers

Mathematical Models and Methods in Applied Sciences
Comparison fields: 5 of 207
  • Modeling and Simulation 10.2k
  • Computational Mechanics 21.1k
  • Applied Mathematics 9.6k
  • Computational Theory and Mathematics 13.2k
  • Mathematical Physics 6.7k
Replace Mathematics and Computers in Simulation with:
Mathematics and Computers in Simulation China
Journal of Scientific Computing China
IMA Journal of Numerical Analysis United Kingdom
Numerical Algorithms China
Quarterly of Applied Mathematics United States
IMA Journal of Applied Mathematics United Kingdom
Applied Numerical Mathematics China
Mathematical and Computer Modelling United States
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences United Kingdom
Numerical Methods for Partial Differential Equations United States
Mathematical Models and Methods in Applied Sciences relative to Mathematics and Computers in Simulation China Mathematics and Computers in Simulation's profile →
Citations per field
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Citations per year

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).

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.

About Mathematical Models and Methods in Applied Sciences

The 2.2k papers published in Mathematical Models and Methods in Applied Sciences in the last decades have received a total of 53.6k indexed citations . Papers published in Mathematical Models and Methods in Applied Sciences usually cover Modeling and Simulation (328 papers), Applied Mathematics (521 papers), Mathematical Physics (389 papers), Numerical Analysis (215 papers) and Computational Mechanics (786 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (538 papers), Advanced Numerical Methods in Computational Mathematics (435 papers), Mathematical Biology Tumor Growth (294 papers), Navier-Stokes equation solutions (241 papers), Computational Fluid Dynamics and Aerodynamics (205 papers), Gas Dynamics and Kinetic Theory (200 papers), Numerical methods in inverse problems (174 papers) and Numerical methods in engineering (170 papers). The most active scholars publishing in Mathematical Models and Methods in Applied Sciences are Nicola Bellomo, Franco Brezzi, Κ. R. Rajagopal, L. Beirão da Veiga, A. Russo, Michael Winkler, L. D. Marini, Abdelghani Bellouquid, Kenji Takizawa and Tayfun E. Tezduyar.

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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