Miyuki Koshimura

About

Miyuki Koshimura is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Miyuki Koshimura has authored 12 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Miyuki Koshimura’s work include Game Theory and Voting Systems (4 papers), Auction Theory and Applications (4 papers) and Scheduling and Optimization Algorithms (3 papers). Miyuki Koshimura is often cited by papers focused on Game Theory and Voting Systems (4 papers), Auction Theory and Applications (4 papers) and Scheduling and Optimization Algorithms (3 papers). Miyuki Koshimura collaborates with scholars based in Japan and China. Miyuki Koshimura's co-authors include Ryuzo Hasegawa, Hiroshi Fujita, Makoto Yokoo, Suguru Ueda, Pinaki Mandal, Xuefeng Zhang, Masayuki Fujita, Yuko Sakurai, Hui Zhang and Rong Huang and has published in prestigious journals such as Economics Letters, Future Generation Computer Systems and Mathematical Problems in Engineering.

In The Last Decade

Co-authorship network of co-authors of Miyuki Koshimura i

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Fields of papers citing papers by Miyuki Koshimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miyuki Koshimura. 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 Miyuki Koshimura. The network helps show where Miyuki Koshimura may publish in the future.

Countries citing papers authored by Miyuki Koshimura

Since Specialization

Citations

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