International Journal of Computational Methods

1.3k papers and 12.7k indexed citations i.

About

The 1.3k papers published in International Journal of Computational Methods in the last decades have received a total of 12.7k indexed citations. Papers published in International Journal of Computational Methods usually cover Mechanics of Materials (585 papers), Computational Mechanics (473 papers) and Civil and Structural Engineering (371 papers) specifically the topics of Numerical methods in engineering (389 papers), Advanced Numerical Methods in Computational Mathematics (190 papers) and Fluid Dynamics Simulations and Interactions (160 papers). The most active scholars publishing in International Journal of Computational Methods are G. R. Liu, G. Y. ZHANG, Gang Liu, Guiqin Liu, Yuantong Gu, Xu Han, Aly R. Seadawy, Guowei Ma, T. Nguyen‐Thoi and Eugenio Oñate.

In The Last Decade

Fields of papers published in International Journal of Computational Methods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Computational Methods. 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 International Journal of Computational Methods.

Countries where authors publish in International Journal of Computational Methods

Since Specialization
Citations

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