Hitoshi Matsushima

263 total papers · 2.1k total citations
86 papers, 1.3k citations indexed

About

Hitoshi Matsushima is a scholar working on Management Science and Operations Research, Mechanical Engineering and Economics and Econometrics. According to data from OpenAlex, Hitoshi Matsushima has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 29 papers in Mechanical Engineering and 22 papers in Economics and Econometrics. Recurrent topics in Hitoshi Matsushima's work include Heat Transfer and Optimization (26 papers), Game Theory and Applications (24 papers) and Auction Theory and Applications (22 papers). Hitoshi Matsushima is often cited by papers focused on Heat Transfer and Optimization (26 papers), Game Theory and Applications (24 papers) and Auction Theory and Applications (22 papers). Hitoshi Matsushima collaborates with scholars based in Japan, United States and Saudi Arabia. Hitoshi Matsushima's co-authors include Dilip Abreu, Michihiro Kandori, Teruo Matsuura, Ruka Nakashima, Patrick Legros, Wataru Nakayama, Masud Behnia, R. Viskanta, Isao Saito and Takeshi Komatsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Econometrica and International Journal of Heat and Mass Transfer.

In The Last Decade

Hitoshi Matsushima

77 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hitoshi Matsushima 699 550 393 212 100 86 1.3k
Christian Hellwig 317 0.5× 913 1.7× 156 0.4× 37 0.2× 59 1.6k
Yong H. Kim 176 0.3× 357 0.6× 10 0.0× 95 0.4× 70 0.7× 79 1.6k
Roger Ware 113 0.2× 332 0.6× 52 0.1× 14 0.1× 5 0.1× 62 1.2k
Zaifu Yang 527 0.8× 622 1.1× 39 0.1× 10 0.0× 10 0.1× 129 1.3k
M. Sundararajan 321 0.5× 102 0.2× 30 0.1× 34 0.2× 126 1.3× 87 1.8k
Fangfang Tang 213 0.3× 213 0.4× 163 0.4× 75 0.4× 1 0.0× 76 1.2k
Riccardo Rebonato 154 0.2× 491 0.9× 18 0.0× 48 0.2× 3 0.0× 103 1.7k
Zhixin Liu 144 0.2× 274 0.5× 14 0.0× 43 0.2× 9 0.1× 115 1.4k
Douglas Young 20 0.0× 266 0.5× 21 0.1× 73 0.3× 49 0.5× 68 1.6k
Clifford Hildreth 249 0.4× 538 1.0× 19 0.0× 15 0.1× 2 0.0× 34 1.4k

Countries citing papers authored by Hitoshi Matsushima

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Matsushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Matsushima

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Matsushima. A scholar is included among the top collaborators of Hitoshi Matsushima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hitoshi Matsushima. Hitoshi Matsushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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