Applied Mathematical Modelling

11.2k papers and 248.3k indexed citations i.

About

The 11.2k papers published in Applied Mathematical Modelling in the last decades have received a total of 248.3k indexed citations. Papers published in Applied Mathematical Modelling usually cover Mechanics of Materials (2.6k papers), Computational Mechanics (2.1k papers) and Civil and Structural Engineering (1.8k papers) specifically the topics of Numerical methods in engineering (1.1k papers), Composite Structure Analysis and Optimization (929 papers) and Vibration and Dynamic Analysis (601 papers). The most active scholars publishing in Applied Mathematical Modelling are Paul W. Cleary, Jun Ye, Ashraf M. Zenkour, Mehdi Dehghan, Feng Ding, R. Ellahi, Zhongliang Yue, Mohamad Y. Jaber, C. A. Brebbia and N.C. Markatos.

In The Last Decade

Fields of papers published in Applied Mathematical Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Applied Mathematical Modelling

Since Specialization
Citations

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