Mituhiro Fukuda

1.6k total citations
21 papers, 1.1k citations indexed

About

Mituhiro Fukuda is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Mituhiro Fukuda has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Numerical Analysis, 9 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Mituhiro Fukuda's work include Advanced Optimization Algorithms Research (13 papers), Sparse and Compressive Sensing Techniques (9 papers) and Stochastic Gradient Optimization Techniques (4 papers). Mituhiro Fukuda is often cited by papers focused on Advanced Optimization Algorithms Research (13 papers), Sparse and Compressive Sensing Techniques (9 papers) and Stochastic Gradient Optimization Techniques (4 papers). Mituhiro Fukuda collaborates with scholars based in Japan, United States and South Korea. Mituhiro Fukuda's co-authors include Kazuhide Nakata, Masakazu Kojima, Katsuki Fujisawa, Kazuo Murota, Maho Nakata, Bastiaan J. Braams, J. K. Percus, Zhengji Zhao, Michael L. Overton and Hiroshi Nakatsuji and has published in prestigious journals such as The Journal of Chemical Physics, Behavioural Brain Research and Mathematical Programming.

In The Last Decade

Mituhiro Fukuda

21 papers receiving 1.0k citations

Peers

Mituhiro Fukuda
Yunkai Zhou United States
Joachim Dahl Denmark
Eric Polizzi United States
H. C. Rosu Mexico
Yunkai Zhou United States
Mituhiro Fukuda
Citations per year, relative to Mituhiro Fukuda Mituhiro Fukuda (= 1×) peers Yunkai Zhou

Countries citing papers authored by Mituhiro Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Mituhiro Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mituhiro Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Mituhiro Fukuda. A scholar is included among the top collaborators of Mituhiro Fukuda 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 Mituhiro Fukuda. Mituhiro Fukuda 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.
Fukuda, Mituhiro, et al.. (2022). Exact SDP relaxations for quadratic programs with bipartite graph structures. Journal of Global Optimization. 86(3). 671–691. 3 indexed citations
2.
Fukuda, Mituhiro, et al.. (2022). New Bregman proximal type algorithms for solving DC optimization problems. Computational Optimization and Applications. 83(3). 893–931. 6 indexed citations
3.
Fukuda, Mituhiro, et al.. (2021). Nearly Optimal First-Order Methods for Convex Optimization under Gradient Norm Measure: an Adaptive Regularization Approach. Journal of Optimization Theory and Applications. 188(3). 770–804. 3 indexed citations
4.
Fukuda, Mituhiro, et al.. (2021). Exact SDP relaxations of quadratically constrained quadratic programs with forest structures. Journal of Global Optimization. 82(2). 243–262. 3 indexed citations
5.
Fukuda, Mituhiro, et al.. (2020). A dual spectral projected gradient method for log-determinant semidefinite problems. Computational Optimization and Applications. 76(1). 33–68. 4 indexed citations
6.
Fukuda, Mituhiro, et al.. (2016). A family of subgradient-based methods for convex optimization problems in a unifying framework. Optimization methods & software. 31(5). 952–982. 6 indexed citations
7.
Yamashita, Makoto, Katsuki Fujisawa, Mituhiro Fukuda, Kazuhide Nakata, & Maho Nakata. (2012). Algorithm 925. ACM Transactions on Mathematical Software. 39(1). 1–22. 12 indexed citations
8.
Yamashita, Makoto, Katsuki Fujisawa, Kazuhide Nakata, et al.. (2010). A high-performance software package for semidefinite programs: SDPA 7. 50 indexed citations
9.
Nakata, Maho, Bastiaan J. Braams, Katsuki Fujisawa, et al.. (2008). Variational calculation of second-order reduced density matrices by strong N-representability conditions and an accurate semidefinite programming solver. The Journal of Chemical Physics. 128(16). 164113–164113. 60 indexed citations
10.
Fukuda, Mituhiro, et al.. (2006). Anxiolytic-like effects of short-term postnatal protein malnutrition in the elevated plus-maze test. Behavioural Brain Research. 173(2). 310–314. 30 indexed citations
11.
Nakata, Maho, Bastiaan J. Braams, Mituhiro Fukuda, et al.. (2006). Simple Hamiltonians which exhibit drastic failures by variational determination of the two-particle reduced density matrix with some well known N-representability conditions. The Journal of Chemical Physics. 125(24). 244109–244109. 8 indexed citations
12.
Fujisawa, Katsuki, Mituhiro Fukuda, & Kazuhide Nakata. (2006). Preprocessing sparse semidefinite programs via matrix completion. Optimization methods & software. 21(1). 17–39. 6 indexed citations
13.
Fukuda, Mituhiro, Makoto Yamashita, & Masakazu Kojima. (2006). Computational Prospects on Copositive Programming(Theory of Modeling and Optimization). Kyoto University Research Information Repository (Kyoto University). 1 indexed citations
14.
Fukuda, Mituhiro, Bastiaan J. Braams, Maho Nakata, et al.. (2006). Large-scale semidefinite programs in electronic structure calculation. Mathematical Programming. 109(2-3). 553–580. 53 indexed citations
15.
Zhao, Zhengji, Bastiaan J. Braams, Mituhiro Fukuda, Michael L. Overton, & J. K. Percus. (2004). The reduced density matrix method for electronic structure calculations and the role of three-index representability conditions. The Journal of Chemical Physics. 120(5). 2095–2104. 206 indexed citations
16.
Nakata, Kazuhide, Katsuki Fujisawa, Mituhiro Fukuda, Masakazu Kojima, & Kazuo Murota. (2003). Exploiting sparsity in semidefinite programming via matrix completion II: implementation and numerical results. Mathematical Programming. 95(2). 303–327. 93 indexed citations
17.
Fukuda, Mituhiro, et al.. (2002). Lagrangian Dual Interior-Point Methods for Semidefinite Programs. SIAM Journal on Optimization. 12(4). 1007–1031. 8 indexed citations
18.
Fukuda, Mituhiro, Masakazu Kojima, Kazuo Murota, & Kazuhide Nakata. (2001). Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework. SIAM Journal on Optimization. 11(3). 647–674. 188 indexed citations
19.
Nakata, Maho, Hiroshi Nakatsuji, Masahiro Ehara, et al.. (2001). Variational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm. The Journal of Chemical Physics. 114(19). 8282–8292. 230 indexed citations
20.
Fukuda, Mituhiro & Masakazu Kojima. (2001). Branch-and-Cut Algorithms for the Bilinear Matrix Inequality Eigenvalue Problem. Computational Optimization and Applications. 19(1). 79–105. 79 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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