Tokyo Journal of Mathematics

1.2k papers and 6.9k indexed citations i.

About

The 1.2k papers published in Tokyo Journal of Mathematics in the last decades have received a total of 6.9k indexed citations. Papers published in Tokyo Journal of Mathematics usually cover Geometry and Topology (534 papers), Mathematical Physics (487 papers) and Applied Mathematics (438 papers) specifically the topics of Algebraic Geometry and Number Theory (174 papers), Optimal Transport in Geometry and Analysis (166 papers) and Geometric and Algebraic Topology (134 papers). The most active scholars publishing in Tokyo Journal of Mathematics are Osamu Kobayashi, Shunji Ito, Kenji Nishihara, Soji Kaneyuki, Hitoshi Nakada, Kei-ichi Watanabe, Toshiaki Adachi, Tadashi Nagano, Mitsuo Morimoto and Naoki Tanaka.

In The Last Decade

Fields of papers published in Tokyo Journal of Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Tokyo Journal of 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 Tokyo Journal of Mathematics.

Countries where authors publish in Tokyo Journal of Mathematics

Since Specialization
Citations

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