Journal of Applied and Industrial Mathematics

801 papers and 2.3k indexed citations i.

About

The 801 papers published in Journal of Applied and Industrial Mathematics in the last decades have received a total of 2.3k indexed citations. Papers published in Journal of Applied and Industrial Mathematics usually cover Computational Theory and Mathematics (265 papers), Mathematical Physics (130 papers) and Applied Mathematics (120 papers) specifically the topics of graph theory and CDMA systems (80 papers), Inverse Problems in Mathematical Physics and Imaging (78 papers) and Advanced Mathematical Modeling in Engineering (74 papers). The most active scholars publishing in Journal of Applied and Industrial Mathematics are A. V. Kel’manov, D. S. Malyshev, A. V. Pyatkin, V. G. Romanov, A. O. Ivanova, A. M. Khludnev, O. V. Borodin, Natalia Tokareva, Г. В. Алексеев and A. L. Karchevsky.

In The Last Decade

Fields of papers published in Journal of Applied and Industrial Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Applied and Industrial 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 Journal of Applied and Industrial Mathematics.

Countries where authors publish in Journal of Applied and Industrial Mathematics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Applied and Industrial 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 Journal of Applied and Industrial Mathematics 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 and Industrial 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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2025