Hitoshi Matsubara

271 total papers · 2.6k total citations
107 papers, 1.2k citations indexed

About

Hitoshi Matsubara is a scholar working on Artificial Intelligence, Environmental Engineering and Materials Chemistry. According to data from OpenAlex, Hitoshi Matsubara has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 17 papers in Environmental Engineering and 15 papers in Materials Chemistry. Recurrent topics in Hitoshi Matsubara's work include Microbial Applications in Construction Materials (11 papers), Artificial Intelligence in Games (10 papers) and Multi-Agent Systems and Negotiation (10 papers). Hitoshi Matsubara is often cited by papers focused on Microbial Applications in Construction Materials (11 papers), Artificial Intelligence in Games (10 papers) and Multi-Agent Systems and Negotiation (10 papers). Hitoshi Matsubara collaborates with scholars based in Japan, United States and Singapore. Hitoshi Matsubara's co-authors include Itsuki Noda, Hiroaki Kitano, Minoru Asada, Eiichi Osawa, Yasuo Kuniyoshi, Ian Frank, Satoshı Tadokoro, Kazuo Hiraki, Tokiichiro Takahashi and Susumu Shimada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and ACS Catalysis.

In The Last Decade

Hitoshi Matsubara

90 papers receiving 1.1k 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 Matsubara 463 276 166 159 148 107 1.2k
Giorgio Gnecco 229 0.5× 195 0.7× 183 1.1× 82 0.5× 121 0.8× 117 1.3k
Hui Song 608 1.3× 136 0.5× 62 0.4× 181 1.1× 166 1.1× 86 1.5k
Anupam Yadav 643 1.4× 132 0.5× 67 0.4× 193 1.2× 95 0.6× 129 1.5k
Zhiguo Zhou 295 0.6× 135 0.5× 137 0.8× 192 1.2× 87 0.6× 86 1.3k
Jinsha Yuan 301 0.7× 203 0.7× 55 0.3× 132 0.8× 86 0.6× 79 975
Xu Yang 293 0.6× 92 0.3× 224 1.3× 275 1.7× 130 0.9× 95 1.4k
Giacomo Capizzi 443 1.0× 140 0.5× 82 0.5× 143 0.9× 70 0.5× 85 1.4k
Yong Zhou 484 1.0× 136 0.5× 156 0.9× 109 0.7× 45 0.3× 109 1.3k
Tian Zhang 415 0.9× 283 1.0× 191 1.2× 156 1.0× 102 0.7× 109 1.5k
Xiaojuan Ban 311 0.7× 403 1.5× 128 0.8× 123 0.8× 75 0.5× 141 1.3k

Countries citing papers authored by Hitoshi Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Matsubara

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Matsubara. A scholar is included among the top collaborators of Hitoshi Matsubara 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 Matsubara. Hitoshi Matsubara 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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