Yasushi Narushima

648 total citations
26 papers, 528 citations indexed

About

Yasushi Narushima is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Yasushi Narushima has authored 26 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Numerical Analysis, 15 papers in Computational Theory and Mathematics and 9 papers in Computational Mechanics. Recurrent topics in Yasushi Narushima's work include Advanced Optimization Algorithms Research (25 papers), Iterative Methods for Nonlinear Equations (22 papers) and Optimization and Variational Analysis (9 papers). Yasushi Narushima is often cited by papers focused on Advanced Optimization Algorithms Research (25 papers), Iterative Methods for Nonlinear Equations (22 papers) and Optimization and Variational Analysis (9 papers). Yasushi Narushima collaborates with scholars based in Japan, Oman and United Kingdom. Yasushi Narushima's co-authors include Hiroshi Yabe, John Ford, Mehiddin Al‐Baali, Hideaki Iiduka, Michiya Kobayashi, Hiroshi Kobayashi, Masashi Takemura and Shunsuke Hayashi and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transportation Science and Applied Mathematics and Computation.

In The Last Decade

Yasushi Narushima

26 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasushi Narushima Japan 12 429 221 216 54 52 26 528
Masoud Ahookhosh Austria 13 362 0.8× 194 0.9× 204 0.9× 38 0.7× 25 0.5× 29 480
Jianghua Yin China 12 283 0.7× 259 1.2× 104 0.5× 104 1.9× 29 0.6× 28 393
Pengjie Liu China 13 232 0.5× 219 1.0× 96 0.4× 99 1.8× 29 0.6× 33 344
Jinkui Liu China 9 243 0.6× 175 0.8× 93 0.4× 56 1.0× 19 0.4× 29 340
Wah June Leong Malaysia 10 243 0.6× 123 0.6× 155 0.7× 20 0.4× 20 0.4× 35 357
Chunming Tang China 11 335 0.8× 174 0.8× 235 1.1× 20 0.4× 24 0.5× 43 423
Zhensheng Yu China 9 231 0.5× 109 0.5× 154 0.7× 21 0.4× 13 0.3× 47 321
S.J. Li China 10 327 0.8× 122 0.6× 339 1.6× 25 0.5× 13 0.3× 29 490
Max L. N. Gonçalves Brazil 11 214 0.5× 90 0.4× 169 0.8× 9 0.2× 14 0.3× 29 284
Mounir Haddou France 9 272 0.6× 131 0.6× 274 1.3× 10 0.2× 11 0.2× 26 402

Countries citing papers authored by Yasushi Narushima

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Narushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Narushima

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Narushima. A scholar is included among the top collaborators of Yasushi Narushima 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 Yasushi Narushima. Yasushi Narushima 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.
Narushima, Yasushi, et al.. (2023). Inexact proximal DC Newton-type method for nonconvex composite functions. Computational Optimization and Applications. 87(2). 611–640. 3 indexed citations
2.
Narushima, Yasushi, et al.. (2023). Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization. Journal of Optimization Theory and Applications. 197(2). 639–664. 3 indexed citations
3.
Narushima, Yasushi, et al.. (2021). An active-set memoryless quasi-Newton method based on a spectral-scaling Broyden family for bound constrained optimization. Results in Control and Optimization. 3. 100012–100012. 4 indexed citations
4.
Narushima, Yasushi, et al.. (2019). Robust Supply Chain Network Equilibrium Model. Transportation Science. 53(4). 1196–1212. 7 indexed citations
5.
Kobayashi, Hiroshi, Yasushi Narushima, & Hiroshi Yabe. (2017). Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization. Optimization methods & software. 32(6). 1313–1329. 12 indexed citations
6.
Narushima, Yasushi & Hiroshi Yabe. (2014). A survey of sufficient descent conjugate gradient methods for unconstrained optimization. SUT Journal of Mathematics. 50(2). 27 indexed citations
7.
Al‐Baali, Mehiddin, Yasushi Narushima, & Hiroshi Yabe. (2014). A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization. Computational Optimization and Applications. 60(1). 89–110. 50 indexed citations
8.
Narushima, Yasushi, et al.. (2013). Nonlinear conjugate gradient methods with sufficient descent properties for unconstrained optimization. Journal of Industrial and Management Optimization. 9(3). 595–619. 15 indexed citations
9.
Narushima, Yasushi, et al.. (2013). A Smoothing Method with Appropriate Parameter Control Based on Fischer-Burmeister Function for Second-Order Cone Complementarity Problems. Abstract and Applied Analysis. 2013. 1–16. 3 indexed citations
10.
Narushima, Yasushi & Hiroshi Yabe. (2012). Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization. Journal of Computational and Applied Mathematics. 236(17). 4303–4317. 39 indexed citations
11.
Narushima, Yasushi, et al.. (2012). The Jacobian consistency of a smoothed Fischer–Burmeister function associated with second-order cones. Journal of Mathematical Analysis and Applications. 394(1). 231–247. 5 indexed citations
12.
Narushima, Yasushi. (2011). Symmetric rank-one method based on some modified secant conditions for unconstrained optimization. SUT Journal of Mathematics. 47(1). 1 indexed citations
13.
Narushima, Yasushi, et al.. (2011). A Smoothing Newton Method with Fischer-Burmeister Function for Second-Order Cone Complementarity Problems. Journal of Optimization Theory and Applications. 149(1). 79–101. 27 indexed citations
14.
Narushima, Yasushi, et al.. (2011). Globally Convergent Three-Term Conjugate Gradient Methods that Use Secant Conditions and Generate Descent Search Directions for Unconstrained Optimization. Journal of Optimization Theory and Applications. 153(3). 733–757. 74 indexed citations
15.
Iiduka, Hideaki & Yasushi Narushima. (2011). Conjugate gradient methods using value of objective function for unconstrained optimization. Optimization Letters. 6(5). 941–955. 17 indexed citations
16.
Narushima, Yasushi, et al.. (2010). Extended Barzilai-Borwein method for unconstrained minimization problems. 6(3). 591–613. 4 indexed citations
17.
Kobayashi, Michiya, Yasushi Narushima, & Hiroshi Yabe. (2010). Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems. Journal of Computational and Applied Mathematics. 234(2). 375–397. 25 indexed citations
18.
Narushima, Yasushi. (2007). A NONMONOTONE MEMORY GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION. Journal of the Operations Research Society of Japan. 50(1). 31–45. 3 indexed citations
19.
Ford, John, Yasushi Narushima, & Hiroshi Yabe. (2007). Multi-step nonlinear conjugate gradient methods for unconstrained minimization. Computational Optimization and Applications. 40(2). 191–216. 47 indexed citations
20.
Narushima, Yasushi. (2006). A memory gradient method without line search for unconstrained optimization. SUT Journal of Mathematics. 42(2). 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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