Japan Journal of Industrial and Applied Mathematics

910 papers and 7.2k indexed citations i.

About

The 910 papers published in Japan Journal of Industrial and Applied Mathematics in the last decades have received a total of 7.2k indexed citations. Papers published in Japan Journal of Industrial and Applied Mathematics usually cover Computational Theory and Mathematics (351 papers), Computational Mechanics (231 papers) and Numerical Analysis (189 papers) specifically the topics of Advanced Numerical Methods in Computational Mathematics (130 papers), Matrix Theory and Algorithms (114 papers) and Advanced Mathematical Modeling in Engineering (99 papers). The most active scholars publishing in Japan Journal of Industrial and Applied Mathematics are Eiji Yanagida, T. Shima, Tai-Ping Liu, Kamel Hamdache, Tetu Makino, Kazuo Murota, Roland Glowinski, Hisashi Okamoto, Mari Okada and Yukio Kan-on.

In The Last Decade

Fields of papers published in Japan Journal of Industrial and Applied Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Japan Journal of Industrial and Applied Mathematics

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2025