Takeshi Matsui
- Electrical and Electronic Engineering top 10%
- Hepatology top 5%
- Epidemiology top 10%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Masatoshi SakawaHiroshi TakehiraYasumichi MatsumotoKazuto HatakeyamaShinya HayamiMohammad Razaul KarimMichio KoinumaTakaaki Taniguchi
- Topics
- Optimization and Mathematical Programming (16 papers)Multi-Criteria Decision Making (12 papers)Fuzzy Systems and Optimization (10 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Takeshi Matsui
95 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Electrical and Electronic Engineering 434
- Hepatology 289
- Epidemiology 257
- Biomedical Engineering 247
- Materials Chemistry 192
Countries citing papers authored by Takeshi Matsui
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Graphene Oxide Nanosheet with High Proton Conductivitybreakdown → | 503 |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 2009年5月の日本の大阪府におけるインフルエンザA型(H1N1)Vの症例の臨床像 | 3 |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | GENERAL CHARACTERISTICS OF THE SOIL GEOGRAPHY OF JAPAN | 2 |
About Takeshi Matsui
Takeshi Matsui is a scholar working on Hepatology, Statistics and Probability and Management Science and Operations Research, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (16 papers), Multi-Criteria Decision Making (12 papers) and Fuzzy Systems and Optimization (10 papers). The work is most often cited by research in Hepatology (289 citations), Infectious Diseases (154 citations) and Electrical and Electronic Engineering (434 citations). Takeshi Matsui has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Masatoshi Sakawa, Hiroshi Takehira, Yasumichi Matsumoto, Kazuto Hatakeyama, Shinya Hayami, Mohammad Razaul Karim, Michio Koinuma, Takaaki Taniguchi, Hiroshi Kitagawa and Shin‐ichiro Noro. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.
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.