Yuki Tanigaki
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Management Science and Operations Research
- Co-authors
- Masaki OnishiYoshihiko OzakiHisao IshibuchiYusuke NojimaHiroyuki MasudaMasahiro NomuraKaname NarukawaYu Setoguchi
- Topics
- Advanced Multi-Objective Optimization Algorithms (13 papers)Metaheuristic Optimization Algorithms Research (12 papers)Evolutionary Algorithms and Applications (10 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
In The Last Decade
Yuki Tanigaki
17 papers receiving 316 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 140
- Computational Theory and Mathematics 123
- Electrical and Electronic Engineering 46
- Control and Systems Engineering 31
- Management Science and Operations Research 29
Countries citing papers authored by Yuki Tanigaki
This map shows the geographic impact of Yuki Tanigaki'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 Yuki Tanigaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Tanigaki more than expected).
Fields of papers citing papers by Yuki Tanigaki
This network shows the impact of papers produced by Yuki Tanigaki. 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 Yuki Tanigaki. The network helps show where Yuki Tanigaki may publish in the future.
Co-authorship network of co-authors of Yuki Tanigaki
This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Tanigaki. A scholar is included among the top collaborators of Yuki Tanigaki 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 Yuki Tanigaki. Yuki Tanigaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 73 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 107 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 71 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | 4 |
About Yuki Tanigaki
Yuki Tanigaki is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Science Applications, having authored 18 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (13 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Algorithms and Applications (10 papers). The work is most often cited by research in Computational Theory and Mathematics (123 citations), Artificial Intelligence (140 citations) and Management Science and Operations Research (29 citations). Yuki Tanigaki has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Masaki Onishi, Yoshihiko Ozaki, Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, Masahiro Nomura, Kaname Narukawa, Yu Setoguchi, Markus Olhofer and Bernhard Sendhoff. Their work appears in journals such as Transportation Research Record Journal of the Transportation Research Board, Soft Computing and Journal of Artificial Intelligence Research.
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.