Yo Ishizuka
- Computational Theory and Mathematics top 1%
- Control and Systems Engineering top 5%
- Numerical Analysis top 5%
- Management Science and Operations Research top 5%
- Transportation top 10%
- Co-authors
- Kiyotaka ShimizuJonathan F. BardAnthony V. FiaccoEitaro AiyoshiV. JeyakumarB. M. GloverK. ShimizuA. M. Rubinov
- Topics
- Optimization and Variational Analysis (14 papers)Advanced Optimization Algorithms Research (10 papers)Optimization and Mathematical Programming (4 papers)
- Journals
- IEEE Transactions on Automatic ControlJournal of Mathematical Analysis and ApplicationsMathematical Programming
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yo Ishizuka
18 papers receiving 570 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 364
- Control and Systems Engineering 328
- Numerical Analysis 226
- Management Science and Operations Research 106
- Transportation 54
Countries citing papers authored by Yo Ishizuka
This map shows the geographic impact of Yo Ishizuka'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 Yo Ishizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yo Ishizuka more than expected).
Fields of papers citing papers by Yo Ishizuka
This network shows the impact of papers produced by Yo Ishizuka. 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 Yo Ishizuka. The network helps show where Yo Ishizuka may publish in the future.
Co-authorship network of co-authors of Yo Ishizuka
This figure shows the co-authorship network connecting the top 25 collaborators of Yo Ishizuka. A scholar is included among the top collaborators of Yo Ishizuka 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 Yo Ishizuka. Yo Ishizuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Facility Layout Problem with Buffer Space Allocation for Throughput and Material Handling Cost | 2 |
| 2 | 2 | |
| 3 | The Stochastic Facility Layout Problems in Production Systems with Variable Processing Times( Production and Logistics) | 1 |
| 4 | 4 | |
| 5 | 278 | |
| 6 | 47 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 67 | |
| 11 | 14 | |
| 12 | 102 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 20 | |
| 18 | 13 | |
| 19 | 20 |
About Yo Ishizuka
Yo Ishizuka is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Applied Mathematics, having authored 19 papers that have together received 630 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (14 papers), Advanced Optimization Algorithms Research (10 papers) and Optimization and Mathematical Programming (4 papers). The work is most often cited by research in Numerical Analysis (226 citations), Computational Theory and Mathematics (364 citations) and Control and Systems Engineering (328 citations). Yo Ishizuka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kiyotaka Shimizu, Jonathan F. Bard, Anthony V. Fiacco, Eitaro Aiyoshi, V. Jeyakumar, B. M. Glover, K. Shimizu, A. M. Rubinov, Hoang Duong Tuan and Takenobu Yamamoto. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Mathematical Analysis and Applications and Mathematical Programming.
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.