Noritaka Tsukamoto
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 1%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 10%
- Civil and Structural Engineering top 10%
- Topics
- Advanced Multi-Objective Optimization Algorithms (24 papers)Metaheuristic Optimization Algorithms Research (24 papers)Evolutionary Algorithms and Applications (21 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- European Journal of Operational ResearchIEEE Transactions on Evolutionary ComputationSoft Computing
- Partner nations
- Japan
In The Last Decade
Noritaka Tsukamoto
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 1.1k
- Artificial Intelligence 1.0k
- Management Science and Operations Research 289
- Control and Systems Engineering 135
- Civil and Structural Engineering 101
Countries citing papers authored by Noritaka Tsukamoto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Use of non-geometric binary crossover as mutation | 1 |
| 2 | 5 | |
| 3 | 103 | |
| 4 | 7 | |
| 5 | 25 | |
| 6 | 33 | |
| 7 | 128 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 36 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 54 | |
| 14 | 63 | |
| 15 | 117 | |
| 16 | Evolutionary many-objective optimization: A short reviewbreakdown → | 672 |
| 17 | 1 | |
| 18 | 54 | |
| 19 | 35 | |
| 20 | 2 |
About Noritaka Tsukamoto
Noritaka Tsukamoto is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (24 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Evolutionary Algorithms and Applications (21 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (1.0k citations) and Management Science and Operations Research (289 citations). Noritaka Tsukamoto has collaborated with scholars based in Japan. Frequent co-authors include Hisao Ishibuchi, Yusuke Nojima, Yuji Sakane, Kaname Narukawa and Ken Ohara. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation and Soft Computing.
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.