Takeshi Matsui

178 total papers · 2.0k total citations
101 papers, 1.4k citations indexed

About

Takeshi Matsui is a scholar working on Epidemiology, Hepatology and Control and Systems Engineering. According to data from OpenAlex, Takeshi Matsui has authored 101 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 22 papers in Hepatology and 16 papers in Control and Systems Engineering. Recurrent topics in Takeshi Matsui's work include Optimization and Mathematical Programming (16 papers), Multi-Criteria Decision Making (12 papers) and Fuzzy Systems and Optimization (10 papers). Takeshi Matsui is often cited by papers focused on Optimization and Mathematical Programming (16 papers), Multi-Criteria Decision Making (12 papers) and Fuzzy Systems and Optimization (10 papers). Takeshi Matsui collaborates with scholars based in Japan, United States and Bangladesh. Takeshi Matsui's co-authors include Masatoshi Sakawa, Takaaki Taniguchi, Hiroshi Takehira, Shinya Hayami, Yasumichi Matsumoto, Kazuto Hatakeyama, Michio Koinuma, Mohammad Razaul Karim, Teppei Yamada and Tomoyuki Akutagawa and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Takeshi Matsui

95 papers receiving 1.3k citations

Hit Papers

Graphene Oxide Nanosheet ... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Takeshi Matsui 433 289 256 245 192 101 1.4k
Muhammad Zahid 169 0.4× 205 0.7× 235 0.9× 164 0.7× 431 2.2× 77 1.3k
Emre Ünal 477 1.1× 135 0.5× 168 0.7× 353 1.4× 162 0.8× 95 1.4k
Liya Su 105 0.2× 199 0.7× 281 1.1× 158 0.6× 118 0.6× 65 1.4k
Heon Ju Lee 198 0.5× 539 1.9× 540 2.1× 270 1.1× 154 0.8× 79 1.5k
Gang Wang 200 0.5× 64 0.2× 174 0.7× 140 0.6× 398 2.1× 124 1.5k
Liaqat Ali 167 0.4× 297 1.0× 356 1.4× 67 0.3× 173 0.9× 64 1.5k
Yoshiyuki Komoda 141 0.3× 357 1.2× 229 0.9× 223 0.9× 84 0.4× 114 1.2k
Feifei Yang 447 1.0× 109 0.4× 175 0.7× 72 0.3× 197 1.0× 75 1.3k
Yunfei Li 170 0.4× 110 0.4× 171 0.7× 389 1.6× 322 1.7× 76 1.4k
Chih-Chiang Wang 188 0.4× 115 0.4× 234 0.9× 46 0.2× 162 0.8× 87 1.5k

Countries citing papers authored by Takeshi Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Matsui. A scholar is included among the top collaborators of Takeshi Matsui 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 Takeshi Matsui. Takeshi Matsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026