Tatsuya Okabe
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Yaochu JinBernhard SendhoffKalyanmoy DebKarthik SindhyaMarkus OlhoferEdward TsangQingfu ZhangAimin Zhou
- Topics
- Advanced Multi-Objective Optimization Algorithms (11 papers)Metaheuristic Optimization Algorithms Research (9 papers)Evolutionary Algorithms and Applications (7 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- International Journal of Heat and Mass TransferViewProceedings of the Genetic and Evolutionary Computation Conference
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Tatsuya Okabe
11 papers receiving 725 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 349
- Computational Theory and Mathematics 340
- Mechanical Engineering 159
- Control and Systems Engineering 80
- Industrial and Manufacturing Engineering 72
Countries citing papers authored by Tatsuya Okabe
This map shows the geographic impact of Tatsuya Okabe'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 Tatsuya Okabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Okabe more than expected).
Fields of papers citing papers by Tatsuya Okabe
This network shows the impact of papers produced by Tatsuya Okabe. 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 Tatsuya Okabe. The network helps show where Tatsuya Okabe may publish in the future.
Co-authorship network of co-authors of Tatsuya Okabe
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Okabe. A scholar is included among the top collaborators of Tatsuya Okabe 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 Tatsuya Okabe. Tatsuya Okabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 204 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 48 | |
| 6 | 148 | |
| 7 | 47 | |
| 8 | 9 | |
| 9 | 91 | |
| 10 | 189 | |
| 11 | 7 | |
| 12 | On The Dynamics Of Evolutionary Multi-objective Optimization | 8 |
About Tatsuya Okabe
Tatsuya Okabe is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 757 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (340 citations), Artificial Intelligence (349 citations) and Industrial and Manufacturing Engineering (72 citations). Tatsuya Okabe has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Yaochu Jin, Bernhard Sendhoff, Kalyanmoy Deb, Karthik Sindhya, Markus Olhofer, Edward Tsang, Qingfu Zhang and Aimin Zhou. Their work appears in journals such as International Journal of Heat and Mass Transfer, View and Proceedings of the Genetic and Evolutionary Computation Conference.
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.