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
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.
About Journal of Applied Analysis & Computation
The 1.2k papers published in Journal of Applied Analysis & Computation in the last decades have received a total of 5.5k indexed citations . Papers published in Journal of Applied Analysis & Computation usually cover Modeling and Simulation (377 papers), Numerical Analysis (269 papers), Applied Mathematics (399 papers), Statistical and Nonlinear Physics (289 papers) and Mathematical Physics (197 papers) specifically the topics of Fractional Differential Equations Solutions (291 papers), Mathematical and Theoretical Epidemiology and Ecology Models (246 papers), Nonlinear Differential Equations Analysis (229 papers), Differential Equations and Numerical Methods (176 papers), Nonlinear Waves and Solitons (149 papers), Advanced Mathematical Modeling in Engineering (129 papers), Stability and Controllability of Differential Equations (111 papers) and Evolution and Genetic Dynamics (105 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.
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.