Seiji Ukai

70 papers and 2.5k indexed citations i.

About

Seiji Ukai is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Seiji Ukai has authored 70 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Applied Mathematics, 50 papers in Mathematical Physics and 16 papers in Computational Mechanics. Recurrent topics in Seiji Ukai’s work include Gas Dynamics and Kinetic Theory (36 papers), Inverse Problems in Mathematical Physics and Imaging (30 papers) and Mathematical Modeling of Fluid Dynamics (26 papers). Seiji Ukai is often cited by papers focused on Gas Dynamics and Kinetic Theory (36 papers), Inverse Problems in Mathematical Physics and Imaging (30 papers) and Mathematical Modeling of Fluid Dynamics (26 papers). Seiji Ukai collaborates with scholars based in Japan, Hong Kong and France. Seiji Ukai's co-authors include Tong Yang, Chao-Jiang Xu, Huijiang Zhao, Radjesvarane Alexandre, Renjun Duan, Kiyoshi Asano, Tetu Makino, Yoshinori Morimoto, Claude Bardos and Shih‐Hsien Yu and has published in prestigious journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of Seiji Ukai i

Fields of papers citing papers by Seiji Ukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seiji Ukai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seiji Ukai. The network helps show where Seiji Ukai may publish in the future.

Countries citing papers authored by Seiji Ukai

Since Specialization
Citations

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