Taketomo Mitsui
- Numerical Analysis top 2%
- Finance top 2%
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Yoshihiro SaitoGuang‐Da HuBao‐Feng FengKevin BurragePamela BurrageSatoshi WatanabeTakeo OjikaHiroshi Sugiura
- Topics
- Numerical methods for differential equations (22 papers)Matrix Theory and Algorithms (15 papers)Differential Equations and Numerical Methods (10 papers)
- Journals
- SIAM Journal on Numerical AnalysisJournal of Mathematical Analysis and ApplicationsJournal of Computational and Applied Mathematics
- Partner nations
- JapanChinaUnited States
In The Last Decade
Taketomo Mitsui
35 papers receiving 694 citations
Peers
Comparison fields: 5 of 61
- Numerical Analysis 420
- Finance 316
- Computational Theory and Mathematics 234
- Computational Mechanics 136
- Statistical and Nonlinear Physics 110
Countries citing papers authored by Taketomo Mitsui
This map shows the geographic impact of Taketomo Mitsui'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 Taketomo Mitsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taketomo Mitsui more than expected).
Fields of papers citing papers by Taketomo Mitsui
This network shows the impact of papers produced by Taketomo Mitsui. 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 Taketomo Mitsui. The network helps show where Taketomo Mitsui may publish in the future.
Co-authorship network of co-authors of Taketomo Mitsui
This figure shows the co-authorship network connecting the top 25 collaborators of Taketomo Mitsui. A scholar is included among the top collaborators of Taketomo Mitsui 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 Taketomo Mitsui. Taketomo Mitsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | Bounds of the matrix eigenvalues and its exponential by Lyapunov equation | 0 |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | Parallel PC iteration of pseudo two-step RK methods for nonstiff IVPs ∗ | 3 |
| 10 | 74 | |
| 11 | 48 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | Discrete approximations for stochastic differential equations | 3 |
| 16 | On Quasiperiodic Solutions to Van der Pol Equation | 6 |
| 17 | 57 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 6 |
About Taketomo Mitsui
Taketomo Mitsui is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Finance, having authored 37 papers that have together received 770 indexed citations. Recurring topics across this work include Numerical methods for differential equations (22 papers), Matrix Theory and Algorithms (15 papers) and Differential Equations and Numerical Methods (10 papers). The work is most often cited by research in Numerical Analysis (420 citations), Finance (316 citations) and Modeling and Simulation (80 citations). Taketomo Mitsui has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshihiro Saito, Guang‐Da Hu, Bao‐Feng Feng, Kevin Burrage, Pamela Burrage, Satoshi Watanabe, Takeo Ojika, Hiroshi Sugiura, Nguyễn Hữu Công and Yoshio Komori. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Journal of Computational and Applied Mathematics.
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.