Kei Hirose
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Michio YamamotoSadanori KonishiHiroshi SatōShinji SakaiKoei KawakamiKousuke MoriyamaHideo HiroseH. Masuda
- Topics
- Statistical Methods and Inference (8 papers)Statistical Methods and Bayesian Inference (6 papers)Advanced Statistical Methods and Models (5 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kei Hirose
32 papers receiving 325 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 86
- Management Science and Operations Research 51
- Computer Networks and Communications 48
- Biomedical Engineering 39
- Artificial Intelligence 38
Countries citing papers authored by Kei Hirose
This map shows the geographic impact of Kei Hirose'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 Kei Hirose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Hirose more than expected).
Fields of papers citing papers by Kei Hirose
This network shows the impact of papers produced by Kei Hirose. 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 Kei Hirose. The network helps show where Kei Hirose may publish in the future.
Co-authorship network of co-authors of Kei Hirose
This figure shows the co-authorship network connecting the top 25 collaborators of Kei Hirose. A scholar is included among the top collaborators of Kei Hirose 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 Kei Hirose. Kei Hirose 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 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Imaging Ground Motions in the Tokyo Metropolitan Area Based on MeSO-net Using Lasso | 3 |
| 10 | 34 | |
| 11 | 56 | |
| 12 | Construction of The Regression Model to Estimate The Interpersonal Emotions Focused on Events Changing The Interpersonal Emotions | 1 |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 54 | |
| 18 | Bayesian Factor Analysis and Model Selection | 2 |
| 19 | 天然の(Mg,Fe)SiO3斜方輝石を用いて合成されたポストペロブスカイト相の状態方程式 | 11 |
| 20 | 4 |
About Kei Hirose
Kei Hirose is a scholar working on Statistics and Probability, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 338 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (6 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (86 citations), Computational Mathematics (4 citations) and Molecular Medicine (26 citations). Kei Hirose has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Michio Yamamoto, Sadanori Konishi, Hiroshi Satō, Shinji Sakai, Koei Kawakami, Kousuke Moriyama, Hideo Hirose, H. Masuda, Kunikatsu Takase and Jun Sese. Their work appears in journals such as Acta Biomaterialia, Applied Catalysis A General and American Mineralogist.
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.