Taketomo Mitsui

1.0k total citations
37 papers, 770 citations indexed

About

Taketomo Mitsui is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Taketomo Mitsui has authored 37 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Numerical Analysis, 17 papers in Computational Theory and Mathematics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Taketomo Mitsui's work include Numerical methods for differential equations (22 papers), Matrix Theory and Algorithms (15 papers) and Differential Equations and Numerical Methods (10 papers). Taketomo Mitsui is often cited by papers focused on Numerical methods for differential equations (22 papers), Matrix Theory and Algorithms (15 papers) and Differential Equations and Numerical Methods (10 papers). Taketomo Mitsui collaborates with scholars based in Japan, China and United States. Taketomo Mitsui's co-authors include Yoshihiro Saito, Guang‐Da Hu, Bao‐Feng Feng, Pamela Burrage, Kevin Burrage, Takeo Ojika, Satoshi Watanabe, Hiroshi Sugiura, Nguyễn Hữu Công and Yoshio Komori and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Journal of Computational and Applied Mathematics.

In The Last Decade

Taketomo Mitsui

35 papers receiving 695 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taketomo Mitsui Japan 12 420 316 234 136 110 37 770
Siqing Gan China 19 506 1.2× 571 1.8× 182 0.8× 186 1.4× 47 0.4× 70 958
Martin Hutzenthaler Germany 16 227 0.5× 740 2.3× 125 0.5× 222 1.6× 197 1.8× 40 1.1k
Olivier Bokanowski France 14 139 0.3× 108 0.3× 149 0.6× 137 1.0× 68 0.6× 47 681
Gilles Vilmart Switzerland 16 235 0.6× 118 0.4× 177 0.8× 227 1.7× 111 1.0× 39 557
Arun Verma United States 13 120 0.3× 162 0.5× 106 0.5× 82 0.6× 42 0.4× 46 632
Dirk Blömker Germany 18 43 0.1× 230 0.7× 241 1.0× 156 1.1× 206 1.9× 62 774
Igor Vladimirovich Girsanov 5 110 0.3× 201 0.6× 186 0.8× 33 0.2× 81 0.7× 6 692
Charles-Édouard Bréhier France 11 56 0.1× 248 0.8× 114 0.5× 108 0.8× 57 0.5× 40 397
Aiguo Xiao China 19 963 2.3× 129 0.4× 90 0.4× 107 0.8× 273 2.5× 112 1.3k
Pao–Liu Chow United States 14 51 0.1× 431 1.4× 292 1.2× 73 0.5× 72 0.7× 30 804

Countries citing papers authored by Taketomo Mitsui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mitsui, Taketomo & Guang‐Da Hu. (2023). Numerical Analysis of Ordinary and Delay Differential Equations. 3 indexed citations
2.
Guo, Qian, et al.. (2015). Asymptotic mean-square stability of explicit Runge–Kutta Maruyama methods for stochastic delay differential equations. Journal of Computational and Applied Mathematics. 296. 427–442. 3 indexed citations
3.
Hu, Guang‐Da & Taketomo Mitsui. (2012). Bounds of the matrix eigenvalues and its exponential by Lyapunov equation. Kybernetika. 48(5). 865–878.
4.
Mitsui, Taketomo, et al.. (2011). Two-step family of "Look-ahead" linear multistep method for ODEs. 52(3). 181–188. 3 indexed citations
5.
Tian, Hongjiong, et al.. (2008). Asymptotic and numerical stability of systems of neutral differential equations with many delays. Journal of Computational and Applied Mathematics. 223(2). 614–625. 12 indexed citations
6.
Zhang, Shao‐Liang, et al.. (2004). A Variant of the ORTHOMIN(2) Method for Singular Linear Systems. Numerical Algorithms. 36(3). 189–202. 5 indexed citations
7.
Công, Nguyễn Hữu & Taketomo Mitsui. (2003). Parallel predictor-corrector iteration of pseudo two-step RK methods for nonstiff IVPs. Japan Journal of Industrial and Applied Mathematics. 20(1). 51–64. 3 indexed citations
8.
Công, Nguyễn Hữu & Taketomo Mitsui. (2001). Parallel PC iteration of pseudo two-step RK methods for nonstiff IVPs ∗. 3 indexed citations
9.
Qiu, Lin & Taketomo Mitsui. (2001). Stability of the Radau IA and Lobatto IIIC methods for neutral delay differential system. Journal of Computational and Applied Mathematics. 137(2). 279–292. 1 indexed citations
10.
Burrage, Kevin, Pamela Burrage, & Taketomo Mitsui. (2000). Numerical solutions of stochastic differential equations – implementation and stability issues. Journal of Computational and Applied Mathematics. 125(1-2). 171–182. 74 indexed citations
11.
Feng, Bao‐Feng & Taketomo Mitsui. (1998). A finite difference method for the Korteweg-de Vries and the Kadomtsev-Petviashvili equations. Journal of Computational and Applied Mathematics. 90(1). 95–116. 48 indexed citations
12.
Komori, Yoshio, Taketomo Mitsui, & Hiroshi Sugiura. (1997). Rooted tree analysis of the order conditions of row-type scheme for stochastic differential equations. BIT Numerical Mathematics. 37(1). 31 indexed citations
13.
Mitsui, Taketomo, et al.. (1993). Simulation of stochastic differential equations. Annals of the Institute of Statistical Mathematics. 45(3). 419–432. 34 indexed citations
14.
Saitô, Satoshi, Hiroshi Sugiura, & Taketomo Mitsui. (1992). Butcher's simplifying assumption for symplectic integrators. BIT Numerical Mathematics. 32(2). 345–349. 3 indexed citations
15.
Saitô, Satoshi, Hiroshi Sugiura, & Taketomo Mitsui. (1992). Family of symplectic implicit Runge-Kutta formulae. BIT Numerical Mathematics. 32(3). 539–543. 9 indexed citations
16.
Saito, Yoshihiro & Taketomo Mitsui. (1991). Discrete approximations for stochastic differential equations. Kyoto University Research Information Repository (Kyoto University). 746. 251–260. 3 indexed citations
17.
Mitsui, Taketomo, et al.. (1984). On Quasiperiodic Solutions to Van der Pol Equation. 18. 1–9. 6 indexed citations
18.
Ojika, Takeo, Satoshi Watanabe, & Taketomo Mitsui. (1983). Deflation algorithm for the multiple roots of a system of nonlinear equations. Journal of Mathematical Analysis and Applications. 96(2). 463–479. 57 indexed citations
19.
Watanabe, Satoshi, Takeo Ojika, & Taketomo Mitsui. (1983). On the quadratic convergence properties of the ε-secant method for the solution of a system of nonlinear equations and its application to a chemical reaction problem. Journal of Mathematical Analysis and Applications. 95(1). 69–84. 3 indexed citations
20.
Mitsui, Taketomo. (1977). Investigation of Numerical Solutions of Some Nonlinear Quasiperiodic Differential Equations. Publications of the Research Institute for Mathematical Sciences. 13(3). 793–820. 6 indexed citations

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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