Journal of Applied Mathematics and Computing

2.6k papers and 18.8k indexed citations i.

About

The 2.6k papers published in Journal of Applied Mathematics and Computing in the last decades have received a total of 18.8k indexed citations. Papers published in Journal of Applied Mathematics and Computing usually cover Computational Theory and Mathematics (858 papers), Numerical Analysis (857 papers) and Modeling and Simulation (658 papers) specifically the topics of Fractional Differential Equations Solutions (514 papers), Nonlinear Differential Equations Analysis (462 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (408 papers). The most active scholars publishing in Journal of Applied Mathematics and Computing are Muhammad Akram, Peixian Zhuang, Guy Jumarie, Madhumangal Pal, Muhammad Aslam Noor, E. M. E. Zayed, JinRong Wang, Bashir Ahmad, G. P. Samanta and Omar Abu Arqub.

In The Last Decade

Fields of papers published in Journal of Applied Mathematics and Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Applied Mathematics and Computing. 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 Journal of Applied Mathematics and Computing.

Countries where authors publish in Journal of Applied Mathematics and Computing

Since Specialization
Citations

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