Chihiro Hirotsu
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Food Science
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Co-authors
- Satoshi KurikiAnthony J. HayterMuni S. SrivastavaSatoshi AokiToshiya InadaNobuyoshi HiroseAgnes M. HerzbergKenichiro Shimizu
- Topics
- Optimal Experimental Design Methods (13 papers)Advanced Statistical Methods and Models (12 papers)Statistical Methods in Clinical Trials (9 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- TechnometricsBiometricsBiometrika
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Chihiro Hirotsu
35 papers receiving 277 citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 194
- Management Science and Operations Research 72
- Food Science 55
- Statistics, Probability and Uncertainty 39
- Artificial Intelligence 31
Countries citing papers authored by Chihiro Hirotsu
This map shows the geographic impact of Chihiro Hirotsu'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 Chihiro Hirotsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chihiro Hirotsu more than expected).
Fields of papers citing papers by Chihiro Hirotsu
This network shows the impact of papers produced by Chihiro Hirotsu. 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 Chihiro Hirotsu. The network helps show where Chihiro Hirotsu may publish in the future.
Co-authorship network of co-authors of Chihiro Hirotsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chihiro Hirotsu. A scholar is included among the top collaborators of Chihiro Hirotsu 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 Chihiro Hirotsu. Chihiro Hirotsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 38 | |
| 15 | 14 | |
| 16 | 33 | |
| 17 | 2 | |
| 18 | 40 | |
| 19 | 1 | |
| 20 | 12 |
About Chihiro Hirotsu
Chihiro Hirotsu is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 38 papers that have together received 326 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (13 papers), Advanced Statistical Methods and Models (12 papers) and Statistical Methods in Clinical Trials (9 papers). The work is most often cited by research in Statistics and Probability (194 citations), Management Science and Operations Research (72 citations) and Statistics, Probability and Uncertainty (39 citations). Chihiro Hirotsu has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Satoshi Kuriki, Anthony J. Hayter, Muni S. Srivastava, Satoshi Aoki, Toshiya Inada, Nobuyoshi Hirose, Agnes M. Herzberg, Kenichiro Shimizu, Ludwig A. Hothorn and Gohei Yagi. Their work appears in journals such as Technometrics, Biometrics and Biometrika.
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.