Masaaki Sugihara

1.4k total citations
61 papers, 953 citations indexed

About

Masaaki Sugihara is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Masaaki Sugihara has authored 61 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Numerical Analysis, 25 papers in Computational Theory and Mathematics and 12 papers in Computational Mechanics. Recurrent topics in Masaaki Sugihara's work include Matrix Theory and Algorithms (21 papers), Numerical methods for differential equations (20 papers) and Iterative Methods for Nonlinear Equations (15 papers). Masaaki Sugihara is often cited by papers focused on Matrix Theory and Algorithms (21 papers), Numerical methods for differential equations (20 papers) and Iterative Methods for Nonlinear Equations (15 papers). Masaaki Sugihara collaborates with scholars based in Japan, United States and Russia. Masaaki Sugihara's co-authors include Takayasu Matsuo, Masatake Mori, Kazuo Murota, Ken’ichiro Tanaka, Hidenori Ogata, Ken Hayami, Yoshio Oyanagi, Daisuke Furihata, Shao‐Liang Zhang and Hidetoshi Nakagawa and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and Numerische Mathematik.

In The Last Decade

Masaaki Sugihara

57 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaaki Sugihara Japan 18 505 313 248 239 165 61 953
John Lund United States 16 425 0.8× 289 0.9× 167 0.7× 200 0.8× 111 0.7× 31 861
I. P. Gavrilyuk Ukraine 18 638 1.3× 374 1.2× 352 1.4× 389 1.6× 135 0.8× 79 1.4k
Kenneth L. Bowers United States 13 362 0.7× 238 0.8× 118 0.5× 154 0.6× 67 0.4× 25 685
Takayasu Matsuo Japan 17 565 1.1× 274 0.9× 99 0.4× 141 0.6× 58 0.4× 59 851
Heping Ma China 19 632 1.3× 294 0.9× 134 0.5× 254 1.1× 68 0.4× 69 1.2k
Daan Huybrechs Belgium 19 371 0.7× 309 1.0× 631 2.5× 126 0.5× 529 3.2× 64 1.2k
Hojatollah Adibi Iran 20 354 0.7× 493 1.6× 156 0.6× 59 0.2× 145 0.9× 66 1.0k
Guo Ben‐yu China 17 621 1.2× 403 1.3× 181 0.7× 93 0.4× 57 0.3× 50 1000
Ewa Weinmüller Austria 19 659 1.3× 124 0.4× 217 0.9× 256 1.1× 34 0.2× 98 922
J. L. Mohamed United Kingdom 4 345 0.7× 408 1.3× 249 1.0× 82 0.3× 195 1.2× 8 942

Countries citing papers authored by Masaaki Sugihara

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Sugihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Sugihara

This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Sugihara. A scholar is included among the top collaborators of Masaaki Sugihara 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 Masaaki Sugihara. Masaaki Sugihara 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.
Sugihara, Masaaki, et al.. (2018). Trends in Qualitative Research in the Japan Society for Educational Technology. 40(1). 1–11. 1 indexed citations
2.
Sugihara, Masaaki, et al.. (2015). Formulation of a Preconditioned Algorithm for the Conjugate Gradient Squared Method in Accordance with Its Logical Structure. Applied Mathematics. 6(8). 1389–1406. 1 indexed citations
3.
Nara, Takaaki, et al.. (2014). Orthogonal polynomial approach to estimation of poles of rational functions from data on open curves. Journal of Computational and Applied Mathematics. 273. 326–345. 2 indexed citations
4.
Matsuo, Takayasu, et al.. (2012). The discrete variational derivative method based on discrete differential forms. Journal of Computational Physics. 231(10). 3963–3986. 15 indexed citations
5.
Sugihara, Masaaki, et al.. (2010). GBi-CGSTAB(s,L): IDR(s) with higher-order stabilization polynomials. Journal of Computational and Applied Mathematics. 235(3). 765–784. 22 indexed citations
6.
Matsuo, Takayasu, et al.. (2010). Improvement of a Sinc-collocation method for Fredholm integral equations of the second kind. BIT Numerical Mathematics. 51(2). 339–366. 20 indexed citations
7.
Matsuo, Takayasu, et al.. (2009). Superquadratic convergence of DLASQ for computing matrix singular values. Journal of Computational and Applied Mathematics. 234(4). 1179–1187. 8 indexed citations
8.
Sugihara, Masaaki. (2009). De-Sinc numerical methods. 9–10. 1 indexed citations
9.
Matsuo, Takayasu, et al.. (2009). MATHEMATICAL ENGINEERING TECHNICAL REPORTS A Survey on Convergence Theorems of the dqds Algorithm for Computing Singular Values.
10.
Matsuo, Takayasu, et al.. (2009). Conservative numerical schemes for the Ostrovsky equation. Journal of Computational and Applied Mathematics. 234(4). 1036–1048. 17 indexed citations
11.
Matsuo, Takayasu, et al.. (2009). MATHEMATICAL ENGINEERING TECHNICAL REPORTS Sinc-collocation Methods for Weakly Singular Fredholm Integral Equations of the Second Kind. 1 indexed citations
12.
Mori, Masatake, et al.. (2004). Numerical solution of integral equations by means of the Sinc collocation method based on the double exponential transformation. Journal of Computational and Applied Mathematics. 177(2). 269–286. 51 indexed citations
13.
Ogata, Hidenori, et al.. (2003). A fundamental solution method for viscous flow problems with obstacles in a periodic array. Journal of Computational and Applied Mathematics. 152(1-2). 411–425. 11 indexed citations
14.
Ogata, Hidenori, et al.. (2003). Numerical conformal mappings of bounded multiply connected domains by the charge simulation method. Journal of Computational and Applied Mathematics. 159(1). 109–117. 13 indexed citations
15.
Ogata, Hidenori, et al.. (2003). Unique solvability of the linear system appearing in the invariant scheme of the charge simulation method. Japan Journal of Industrial and Applied Mathematics. 20(1). 17–35. 2 indexed citations
16.
Sugihara, Masaaki. (2002). Double exponential transformation in the Sinc-collocation method for two-point boundary value problems. Journal of Computational and Applied Mathematics. 149(1). 239–250. 32 indexed citations
17.
Mori, Masatake & Masaaki Sugihara. (2001). The double-exponential transformation in numerical analysis. Journal of Computational and Applied Mathematics. 127(1-2). 287–296. 133 indexed citations
18.
Matsuo, Takayasu, Masaaki Sugihara, Daisuke Furihata, & Masatake Mori. (2000). Linearly Implicit Finite Difference Schemes Derived by the Discrete Variational Method (Numerical Soluti on of Partial Differential Equations and Related Topics). Kyoto University Research Information Repository (Kyoto University). 1 indexed citations
19.
Sugihara, Masaaki. (1987). Method of good matrices for multi-dimensional numerical integrations—An extension of the method of good lattice points. Journal of Computational and Applied Mathematics. 17(1-2). 197–213. 3 indexed citations
20.
Murota, Kazuo & Masaaki Sugihara. (1984). A Remark on Aitken's δ -2 Process. 25(5). 892–894. 1 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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