Takahito Kuno

1.2k total citations
48 papers, 791 citations indexed

About

Takahito Kuno is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Takahito Kuno has authored 48 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Numerical Analysis, 27 papers in Computational Theory and Mathematics and 17 papers in Control and Systems Engineering. Recurrent topics in Takahito Kuno's work include Advanced Optimization Algorithms Research (34 papers), Optimization and Variational Analysis (16 papers) and Optimization and Mathematical Programming (10 papers). Takahito Kuno is often cited by papers focused on Advanced Optimization Algorithms Research (34 papers), Optimization and Variational Analysis (16 papers) and Optimization and Mathematical Programming (10 papers). Takahito Kuno collaborates with scholars based in Japan, Slovenia and China. Takahito Kuno's co-authors include Hiroshi Konno, Yasutoshi Yajima, Hiroaki Sugiura, Yushan Zhu, Yoshitsugu Yamamoto, Eitan Zemel, Hisatoshi Sugiura, Kouji Mori, Jianming Shi and Phạm Ngọc Ánh and has published in prestigious journals such as European Journal of Operational Research, Industrial & Engineering Chemistry Research and Mathematical Programming.

In The Last Decade

Takahito Kuno

46 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takahito Kuno Japan 16 529 479 274 118 93 48 791
Ruey-Lin Sheu Taiwan 11 216 0.4× 226 0.5× 120 0.4× 33 0.3× 41 0.4× 35 406
Peiping Shen China 20 765 1.4× 620 1.3× 387 1.4× 63 0.5× 34 0.4× 73 950
V. N. Malozemov Russia 8 271 0.5× 281 0.6× 106 0.4× 28 0.2× 42 0.5× 33 545
Tao Pham Dinh France 14 197 0.4× 131 0.3× 74 0.3× 49 0.4× 139 1.5× 35 555
Pham Dinh Tao France 5 179 0.3× 156 0.3× 74 0.3× 25 0.2× 126 1.4× 7 600
Tim Hoheisel Germany 13 368 0.7× 391 0.8× 214 0.8× 12 0.1× 24 0.3× 29 546
Christian Michelot France 11 104 0.2× 155 0.3× 35 0.1× 110 0.9× 45 0.5× 27 446
Gábor Pataki United States 11 232 0.4× 216 0.5× 43 0.2× 68 0.6× 48 0.5× 19 515
Remigijus Paulavičius Lithuania 16 362 0.7× 354 0.7× 103 0.4× 27 0.2× 49 0.5× 48 728
Bahman Kalantari United States 19 583 1.1× 437 0.9× 45 0.2× 118 1.0× 59 0.6× 74 982

Countries citing papers authored by Takahito Kuno

Since Specialization
Citations

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

Fields of papers citing papers by Takahito Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahito Kuno

This figure shows the co-authorship network connecting the top 25 collaborators of Takahito Kuno. A scholar is included among the top collaborators of Takahito Kuno 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 Takahito Kuno. Takahito Kuno 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.
Kuno, Takahito, et al.. (2018). Computing Kitahara–Mizuno’s bound on the number of basic feasible solutions generated with the simplex algorithm. Optimization Letters. 12(5). 933–943. 2 indexed citations
2.
Kuno, Takahito. (2018). A modified simplicial algorithm for convex maximization based on an extension of $$\omega $$-subdivision. Journal of Global Optimization. 71(2). 297–311. 1 indexed citations
3.
Ánh, Phạm Ngọc, et al.. (2017). Convergence Theorems for Variational Inequalities on the Solution Set of Ky Fan Inequalities. Acta Mathematica Vietnamica. 42(4). 761–773. 3 indexed citations
4.
Kuno, Takahito, et al.. (2010). A Polynomial-Space Finite Algorithm for Solving a Class of Reverse Convex Programs. Terrestrial Environment Research Center (University of Tsukuba). 1–10.
5.
Kuno, Takahito, et al.. (2007). A simplicial branch-and-bound algorithm conscious of special structures in concave minimization problems. Computational Optimization and Applications. 39(2). 219–238. 4 indexed citations
6.
Kuno, Takahito, et al.. (2006). Advanced demosaicing methods based on the changes of colors in a local region. IEEE Transactions on Consumer Electronics. 52(1). 57–65. 3 indexed citations
7.
Kuno, Takahito. (2005). A Revision of the Trapezoidal Branch-and-Bound Algorithm for Linear Sum-of-Ratios Problems. Journal of Global Optimization. 33(2). 215–234. 15 indexed citations
8.
Kuno, Takahito. (2001). A Finite Branch-and-Bound Algorithm for Linear Multiplicative Programming. Computational Optimization and Applications. 20(2). 119–135. 30 indexed citations
9.
Kuno, Takahito. (1999). Polynomial algorithms for a class of minimum rank-two cost path problems. Journal of Global Optimization. 15(4). 405–417. 4 indexed citations
10.
Kuno, Takahito, et al.. (1998). DETECTION OF ROAD CONDITIONS WITH CCD CAMERAS MOUNTED ON A VEHICLE. Transactions of the Institute of Electronics, Information and Communication Engineers. 7 indexed citations
11.
Kuno, Takahito. (1997). A VARIANT OF THE OUTER APPROXIMATION METHOD FOR GLOBALLY MINIMIZING A CLASS OF COMPOSITE FUNCTIONS. Journal of the Operations Research Society of Japan. 40(2). 245–260. 1 indexed citations
12.
Kuno, Takahito, et al.. (1997). Development of card-sized digital still cameras. IEEE Transactions on Consumer Electronics. 43(3). 717–724. 2 indexed citations
13.
Kuno, Takahito, et al.. (1996). A decomposition algorithm for solving certain classes of production-transportation problems with concave production cost. Journal of Global Optimization. 8(1). 6 indexed citations
14.
Kuno, Takahito. (1996). A PRACTICAL ALOGORITHM FOR MINIMIZING A RANK-TWO SADDLE FUNCTION ON A POLYTOPE. Journal of the Operations Research Society of Japan. 39(1). 63–76. 6 indexed citations
15.
Konno, Hiroshi, Takahito Kuno, & Yasutoshi Yajima. (1994). Global minimization of a generalized convex multiplicative function. Journal of Global Optimization. 4(1). 47–62. 65 indexed citations
16.
Kuno, Takahito, Yasutoshi Yajima, & Hiroshi Konno. (1993). An outer approximation method for minimizing the product of several convex functions on a convex set. Journal of Global Optimization. 3(3). 325–335. 52 indexed citations
17.
Konno, Hiroshi, Takahito Kuno, & Yasutoshi Yajima. (1992). Parametric simplex algorithms for a class of NP-Complete problems whose average number of steps is polynomial. Computational Optimization and Applications. 1(2). 227–239. 23 indexed citations
18.
Konno, Hiroshi & Takahito Kuno. (1990). Generalized linear multiplicative and fractional programming. Annals of Operations Research. 25(1). 147–161. 58 indexed citations
19.
Kuno, Takahito, Kouji Mori, & Hiroshi Konno. (1989). A mofified gub algorithm for solving linear minimax problems. Naval Research Logistics (NRL). 36(3). 311–320. 8 indexed citations
20.
Konno, Hiroshi & Takahito Kuno. (1988). Best piecewise constant approximation of a function of single variable. Operations Research Letters. 7(4). 205–210. 18 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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