Noritaka Tsukamoto

2.2k total citations · 1 hit paper
24 papers, 1.5k citations indexed

About

Noritaka Tsukamoto is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Noritaka Tsukamoto has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Noritaka Tsukamoto's work include Advanced Multi-Objective Optimization Algorithms (24 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Evolutionary Algorithms and Applications (21 papers). Noritaka Tsukamoto is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (24 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Evolutionary Algorithms and Applications (21 papers). Noritaka Tsukamoto collaborates with scholars based in Japan. Noritaka Tsukamoto's co-authors include Hisao Ishibuchi, Yusuke Nojima, Yuji Sakane, Kaname Narukawa and Ken Ohara and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation and Soft Computing.

In The Last Decade

Noritaka Tsukamoto

24 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evolutionary many-objective optimization: A short review

2008 672 citations Hisao Ishibuchi, Noritaka Tsukamoto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noritaka Tsukamoto Japan	14	1.1k	1.0k	289	135	101	24	1.5k
Wudong Liu China	8	1.6k 1.4×	1.4k 1.3×	287 1.0×	133 1.0×	117 1.2×	16	1.9k
Dimo Brockhoff France	16	873 0.8×	754 0.7×	186 0.6×	137 1.0×	73 0.7×	50	1.2k
Fangqing Gu China	17	1.4k 1.2×	1.4k 1.4×	279 1.0×	158 1.2×	161 1.6×	70	1.8k
Yu Setoguchi Japan	8	703 0.6×	613 0.6×	183 0.6×	82 0.6×	70 0.7×	9	923
Bingdong Li China	7	711 0.6×	680 0.7×	197 0.7×	81 0.6×	81 0.8×	15	969
Zhengping Liang China	19	832 0.7×	994 1.0×	106 0.4×	100 0.7×	85 0.8×	48	1.4k
Songbai Liu China	16	772 0.7×	756 0.7×	110 0.4×	105 0.8×	75 0.7×	42	1.1k
E.F. Khor Singapore	12	455 0.4×	426 0.4×	76 0.3×	104 0.8×	37 0.4×	20	807
Qingling Zhu China	12	597 0.5×	598 0.6×	89 0.3×	96 0.7×	73 0.7×	28	893

Countries citing papers authored by Noritaka Tsukamoto

Since Specialization

Citations

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

Fields of papers citing papers by Noritaka Tsukamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noritaka Tsukamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Noritaka Tsukamoto. A scholar is included among the top collaborators of Noritaka Tsukamoto 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 Noritaka Tsukamoto. Noritaka Tsukamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2010). Use of non-geometric binary crossover as mutation. World Automation Congress. 1–6. 1 indexed citations

Ishibuchi, Hisao, Yuji Sakane, Noritaka Tsukamoto, & Yusuke Nojima. (2010). Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization. Soft Computing. 15(9). 1749–1767. 5 indexed citations

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2010). Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 14(6). 985–998. 25 indexed citations

Tsukamoto, Noritaka, Yuji Sakane, Yusuke Nojima, & Hisao Ishibuchi. (2010). Incorporation of Hypervolume Approximation with Scalarizing Functions into Indicator-Based Evolutionary Multiobjective Optimization Algorithms. Transactions of the Institute of Systems Control and Information Engineers. 23(8). 165–177. 7 indexed citations

Ishibuchi, Hisao, Yuji Sakane, Noritaka Tsukamoto, & Yusuke Nojima. (2010). Simultaneous use of different scalarizing functions in MOEA/D. 519–526. 103 indexed citations

Ishibuchi, Hisao, Yuji Sakane, Noritaka Tsukamoto, & Yusuke Nojima. (2009). Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. 33 indexed citations

Ishibuchi, Hisao, Yuji Sakane, Noritaka Tsukamoto, & Yusuke Nojima. (2009). Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations. 1758–1763. 128 indexed citations

Tsukamoto, Noritaka, Yusuke Nojima, & Hisao Ishibuchi. (2009). Difficulties in Evolutionary Multiobjective Optimization for Many-Objective Optimization Problems and Their Scalability Improvement Techniques. Transactions of the Institute of Systems Control and Information Engineers. 22(6). 220–228. 1 indexed citations

Ishibuchi, Hisao, Yuji Sakane, Noritaka Tsukamoto, & Yusuke Nojima. (2009). Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach. 1609–1614. 16 indexed citations

10.

Tsukamoto, Noritaka, Yuji Sakane, Yusuke Nojima, & Hisao Ishibuchi. (2009). Proposal of Approximating Hypervolume by Scalarizing Functions for Evolutionary Many-Objective Optimization. Transactions of the Institute of Systems Control and Information Engineers. 22(11). 385–395. 1 indexed citations

11.

Ishibuchi, Hisao, Noritaka Tsukamoto, Yuji Sakane, & Yusuke Nojima. (2009). Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. 530–537. 36 indexed citations

12.

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2008). Behavior of Evolutionary Many-Objective Optimization. 266–271. 54 indexed citations

13.

Ishibuchi, Hisao, et al.. (2008). Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. 649–656. 63 indexed citations

14.

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2008). Evolutionary many-objective optimization. 47–52. 117 indexed citations

15.

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2008). Evolutionary many-objective optimization: A short review. 2419–2426. 672 indexed citations breakdown →

16.

Ishibuchi, Hisao, et al.. (2008). Use of biased neighborhood structures in multiobjective memetic algorithms. Soft Computing. 13(8-9). 795–810. 27 indexed citations

17.

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2007). Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. 1946–1951. 1 indexed citations

18.

Ishibuchi, Hisao, Yusuke Nojima, Noritaka Tsukamoto, & Ken Ohara. (2007). Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. 829–836. 2 indexed citations

19.

Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2007). Iterative approach to indicator-based multiobjective optimization. 3967–3974. 35 indexed citations

20.

Ishibuchi, Hisao, Kaname Narukawa, Noritaka Tsukamoto, & Yusuke Nojima. (2007). An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization. European Journal of Operational Research. 188(1). 57–75. 54 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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