Hokuto Hirano
- Artificial Intelligence top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Ecology
- Health Informatics top 5%
- Co-authors
- Kazuhiro Takemoto
- Topics
- Bacillus and Francisella bacterial research (2 papers)Adversarial Robustness in Machine Learning (2 papers)COVID-19 diagnosis using AI (2 papers)
- Partner nations
- Japan
In The Last Decade
Hokuto Hirano
4 papers receiving 264 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 118
- Molecular Biology 103
- Radiology, Nuclear Medicine and Imaging 70
- Ecology 52
- Health Informatics 26
Countries citing papers authored by Hokuto Hirano
This map shows the geographic impact of Hokuto Hirano'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 Hokuto Hirano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hokuto Hirano more than expected).
Fields of papers citing papers by Hokuto Hirano
This network shows the impact of papers produced by Hokuto Hirano. 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 Hokuto Hirano. The network helps show where Hokuto Hirano may publish in the future.
Co-authorship network of co-authors of Hokuto Hirano
This figure shows the co-authorship network connecting the top 25 collaborators of Hokuto Hirano. A scholar is included among the top collaborators of Hokuto Hirano 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 Hokuto Hirano. Hokuto Hirano 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 | 91 | |
| 3 | 40 | |
| 4 | 122 |
About Hokuto Hirano
Hokuto Hirano is a scholar working on Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 269 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (2 papers), Adversarial Robustness in Machine Learning (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (26 citations), Artificial Intelligence (118 citations) and Radiology, Nuclear Medicine and Imaging (70 citations). Hokuto Hirano has collaborated with scholars based in Japan. Frequent co-authors include Kazuhiro Takemoto. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and BMC Medical Imaging.
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.