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).
Fields of papers published in Journal of Applied Mathematics and Computing
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.
About Journal of Applied Mathematics and Computing
The 2.8k papers published in Journal of Applied Mathematics and Computing in the last decades have received a total of 21.5k indexed citations . Papers published in Journal of Applied Mathematics and Computing usually cover Numerical Analysis (901 papers), Modeling and Simulation (711 papers) and Applied Mathematics (655 papers) specifically the topics of Fractional Differential Equations Solutions (555 papers), Nonlinear Differential Equations Analysis (478 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (434 papers). The most active scholars publishing in Journal of Applied Mathematics and Computing are Muhammad Akram, Madhumangal Pal, Peixian Zhuang, Guy Jumarie, Muhammad Aslam Noor, E. M. E. Zayed, Omar Abu Arqub, JinRong Wang, Bashir Ahmad and G. P. Samanta.
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.