Taiwanese Journal of Mathematics

2.4k papers and 17.2k indexed citations i.

About

The 2.4k papers published in Taiwanese Journal of Mathematics in the last decades have received a total of 17.2k indexed citations. Papers published in Taiwanese Journal of Mathematics usually cover Applied Mathematics (1.2k papers), Computational Theory and Mathematics (968 papers) and Geometry and Topology (818 papers) specifically the topics of Optimization and Variational Analysis (425 papers), Nonlinear Differential Equations Analysis (307 papers) and Fixed Point Theorems Analysis (261 papers). The most active scholars publishing in Taiwanese Journal of Mathematics are Jen‐Chih Yao, Sever S Dragomir, Peter G. Casazza, Wataru Takahashi, Kazuya Shimoji, Qiu-Ming Luo, Sze‐Bi Hsu, Shûichi Ohno, Bang‐Yen Chen and Shun-Tang Wu.

In The Last Decade

Fields of papers published in Taiwanese Journal of Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Taiwanese Journal of Mathematics

Since Specialization
Citations

This map shows the geographic impact of research published in Taiwanese 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 Taiwanese 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 Taiwanese 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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