Hisayuki Hara
- Algebra and Number Theory
- Artificial Intelligence
- Statistics and Probability top 10%
- Computational Theory and Mathematics
- Organizational Behavior and Human Resource Management
- Co-authors
- Akimichi TakemuraRuriko YoshidaSatoshi AokiMathias DrtonDennis LeungJohn J. OsbornMing CaiKazumitsu Nawata
- Topics
- Commutative Algebra and Its Applications (10 papers)Bayesian Modeling and Causal Inference (8 papers)Bayesian Methods and Mixture Models (3 papers)
- Journals
- Computational Statistics & Data AnalysisBulletin of Mathematical BiologyJournal of Multivariate Analysis
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Hisayuki Hara
18 papers receiving 189 citations
Peers
Comparison fields: 5 of 68
- Algebra and Number Theory 51
- Artificial Intelligence 48
- Statistics and Probability 44
- Computational Theory and Mathematics 35
- Organizational Behavior and Human Resource Management 25
Countries citing papers authored by Hisayuki Hara
This map shows the geographic impact of Hisayuki Hara'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 Hisayuki Hara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisayuki Hara more than expected).
Fields of papers citing papers by Hisayuki Hara
This network shows the impact of papers produced by Hisayuki Hara. 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 Hisayuki Hara. The network helps show where Hisayuki Hara may publish in the future.
Co-authorship network of co-authors of Hisayuki Hara
This figure shows the co-authorship network connecting the top 25 collaborators of Hisayuki Hara. A scholar is included among the top collaborators of Hisayuki Hara 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 Hisayuki Hara. Hisayuki Hara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 38 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 87 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | Fibers of sample size two of hierarchical models and Markov bases of decomposable models for contingency tables | 2 |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 7 |
About Hisayuki Hara
Hisayuki Hara is a scholar working on Computational Mathematics, Algebra and Number Theory and Discrete Mathematics and Combinatorics, having authored 21 papers that have together received 204 indexed citations. Recurring topics across this work include Commutative Algebra and Its Applications (10 papers), Bayesian Modeling and Causal Inference (8 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Computational Mathematics (12 citations), Algebra and Number Theory (51 citations) and Discrete Mathematics and Combinatorics (19 citations). Hisayuki Hara has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Akimichi Takemura, Ruriko Yoshida, Satoshi Aoki, Mathias Drton, Dennis Leung, John J. Osborn, Ming Cai and Kazumitsu Nawata. Their work appears in journals such as Computational Statistics & Data Analysis, Bulletin of Mathematical Biology and Journal of Multivariate Analysis.
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.