Akiko Yoshise
- Numerical Analysis top 0.5%
- Computational Theory and Mathematics top 0.5%
- Control and Systems Engineering top 5%
- Computational Mechanics top 5%
- Artificial Intelligence
- Co-authors
- Masakazu KojimaShinji MizunoToshihito NomaNimrod MegiddoRyuhei MiyashiroYuichi TakanoToshiki SatoAtsuko Takefusa
- Topics
- Advanced Optimization Algorithms Research (24 papers)Matrix Theory and Algorithms (16 papers)Optimization and Variational Analysis (12 papers)
- Partner nations
- JapanIsraelUnited States
In The Last Decade
Akiko Yoshise
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 63
- Numerical Analysis 995
- Computational Theory and Mathematics 932
- Control and Systems Engineering 157
- Computational Mechanics 149
- Artificial Intelligence 57
Countries citing papers authored by Akiko Yoshise
This map shows the geographic impact of Akiko Yoshise'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 Akiko Yoshise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Yoshise more than expected).
Fields of papers citing papers by Akiko Yoshise
This network shows the impact of papers produced by Akiko Yoshise. 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 Akiko Yoshise. The network helps show where Akiko Yoshise may publish in the future.
Co-authorship network of co-authors of Akiko Yoshise
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Yoshise. A scholar is included among the top collaborators of Akiko Yoshise 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 Akiko Yoshise. Akiko Yoshise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | A homogeneous model for mixed complementarity problems over symmetric cones | 3 |
| 6 | Homogeneous Algorithms for Monotone Complementarity Problems over Symmetric Cones | 11 |
| 7 | The Home-Away Assignment Problems and Break Minimization/Maximization Problems in Sports Scheduling | 3 |
| 8 | 24 | |
| 9 | 95 | |
| 10 | 1 | |
| 11 | Self-regular proximities and new search directions for nonlinear P*(K) complementarity problems | 8 |
| 12 | 9 | |
| 13 | 57 | |
| 14 | 11 | |
| 15 | 18 | |
| 16 | 16 | |
| 17 | 127 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | 246 |
About Akiko Yoshise
Akiko Yoshise is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (24 papers), Matrix Theory and Algorithms (16 papers) and Optimization and Variational Analysis (12 papers). The work is most often cited by research in Numerical Analysis (995 citations), Computational Theory and Mathematics (932 citations) and Computational Mathematics (15 citations). Akiko Yoshise has collaborated with scholars based in Japan, Israel and United States. Frequent co-authors include Masakazu Kojima, Shinji Mizuno, Toshihito Noma, Nimrod Megiddo, Ryuhei Miyashiro, Yuichi Takano, Toshiki Sato, Atsuko Takefusa, Maiko Shigeno and Takeshi Kikuchi. Their work appears in journals such as IEEE Access, Mathematical Programming and Annals of Operations 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.