Mathematics

18.4k papers and 107.7k indexed citations i.

About

The 18.4k papers published in Mathematics in the last decades have received a total of 107.7k indexed citations. Papers published in Mathematics usually cover Artificial Intelligence (2.9k papers), Computational Theory and Mathematics (2.2k papers) and Applied Mathematics (2.0k papers) specifically the topics of Fractional Differential Equations Solutions (1.2k papers), Multi-Criteria Decision Making (700 papers) and Nonlinear Differential Equations Analysis (662 papers). The most active scholars publishing in Mathematics are Vasily E. Tarasov, Dumitru Băleanu, Roberto Garrappa, Yuri Luchko, Erdal Karapınar, Hassen Aydi, Ioan Pop, Biswajit Sarkar, H. M. Srivastava and Omar Bazighifan.

In The Last Decade

Fields of papers published in Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in 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 Mathematics.

Countries where authors publish in Mathematics

Since Specialization
Citations

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