AIMS Mathematics

4.6k papers and 20.6k indexed citations i.

About

The 4.6k papers published in AIMS Mathematics in the last decades have received a total of 20.6k indexed citations. Papers published in AIMS Mathematics usually cover Applied Mathematics (1.5k papers), Modeling and Simulation (1.2k papers) and Computational Theory and Mathematics (898 papers) specifically the topics of Fractional Differential Equations Solutions (1.0k papers), Nonlinear Differential Equations Analysis (691 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (359 papers). The most active scholars publishing in AIMS Mathematics are Alain Miranville, Yu‐Ming Chu, Dumitru Băleanu, Kottakkaran Sooppy Nisar, Thabet Abdeljawad, Saima Rashid, Thongchai Botmart, Tie‐Hong Zhao, Hacı Mehmet Başkonuş and Muhammad Aslam Noor.

In The Last Decade

Fields of papers published in AIMS Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in AIMS Mathematics. 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 AIMS Mathematics.

Countries where authors publish in AIMS Mathematics

Since Specialization
Citations

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