Journal of Applied Analysis & Computation

1.1k papers and 5.4k indexed citations

About

The 1.1k papers published in Journal of Applied Analysis & Computation in the last decades have received a total of 5.4k indexed citations. Papers published in Journal of Applied Analysis & Computation usually cover Applied Mathematics (390 papers), Modeling and Simulation (367 papers) and Statistical and Nonlinear Physics (280 papers) specifically the topics of Fractional Differential Equations Solutions (281 papers), Mathematical and Theoretical Epidemiology and Ecology Models (244 papers) and Nonlinear Differential Equations Analysis (223 papers). The most active scholars publishing in Journal of Applied Analysis & Computation are Maoan Han, Wen‐Xiu Ma, Marwan Alquran, Xinzhu Meng, Tonghua Zhang, Yu‐Ming Chu, Sun Young Cho, Wenxian Shen, Fang Jin and Mati ur Rahman.

In The Last Decade

Journal of Applied Analysis & Computation

892 papers receiving 4.6k citations

Countries where authors publish in Journal of Applied Analysis & Computation

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Applied Analysis & Computation. 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 Analysis & Computation 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 Analysis & Computation more than expected).

Fields of papers published in Journal of Applied Analysis & Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Applied Analysis & Computation. 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 Analysis & Computation.

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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2026