Hisayuki Hara

433 total citations
21 papers, 204 citations indexed

About

Hisayuki Hara is a scholar working on Algebra and Number Theory, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Hisayuki Hara has authored 21 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Algebra and Number Theory, 10 papers in Artificial Intelligence and 6 papers in Statistics and Probability. Recurrent topics in Hisayuki Hara's work include Commutative Algebra and Its Applications (10 papers), Bayesian Modeling and Causal Inference (8 papers) and Bayesian Methods and Mixture Models (3 papers). Hisayuki Hara is often cited by papers focused on Commutative Algebra and Its Applications (10 papers), Bayesian Modeling and Causal Inference (8 papers) and Bayesian Methods and Mixture Models (3 papers). Hisayuki Hara collaborates with scholars based in Japan, United States and France. Hisayuki Hara's co-authors include Akimichi Takemura, Ruriko Yoshida, Satoshi Aoki, Dennis Leung, John J. Osborn, Mathias Drton, Kazumitsu Nawata and Ming Cai and has published in prestigious journals such as Computational Statistics & Data Analysis, Bulletin of Mathematical Biology and Journal of Multivariate Analysis.

In The Last Decade

Hisayuki Hara

18 papers receiving 189 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hisayuki Hara Japan 7 51 48 44 35 25 21 204
Edward Barbeau Canada 8 34 0.7× 20 0.4× 28 0.6× 28 0.8× 7 0.3× 24 247
Walter Katzenbeisser Austria 10 8 0.2× 46 1.0× 92 2.1× 8 0.2× 13 0.5× 28 280
Abdussakir Abdussakir Indonesia 10 10 0.2× 25 0.5× 6 0.1× 45 1.3× 14 0.6× 83 338
Michael D. Rich United States 8 90 1.8× 22 0.5× 3 0.1× 52 1.5× 5 0.2× 42 381
Alfred B. Manaster United States 10 10 0.2× 31 0.6× 100 2.3× 79 2.3× 29 433
Ignacy I. Kotlarski United States 7 14 0.3× 33 0.7× 82 1.9× 27 0.8× 26 277
Paul Pritchard Australia 11 86 1.7× 93 1.9× 4 0.1× 55 1.6× 1 0.0× 33 277
Ramón Flores Spain 9 17 0.3× 27 0.6× 6 0.1× 9 0.3× 39 238
Peter Donovan Australia 9 83 1.6× 10 0.2× 2 0.0× 23 0.7× 11 0.4× 29 234
William B. Hart United Kingdom 6 19 0.4× 35 0.7× 26 0.7× 5 0.2× 16 175

Countries citing papers authored by Hisayuki Hara

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Cai, Ming & Hisayuki Hara. (2025). Learning causal graphs using variable grouping according to ancestral relationship. Computational Statistics. 40(7). 3947–3979.
2.
Leung, Dennis, Mathias Drton, & Hisayuki Hara. (2016). Identifiability of directed Gaussian graphical models with one latent source. Electronic Journal of Statistics. 10(1). 6 indexed citations
3.
Hara, Hisayuki, et al.. (2012). Graver basis for an undirected graph and its application to testing the beta model of random graphs. Annals of the Institute of Statistical Mathematics. 65(1). 191–212. 10 indexed citations
4.
Aoki, Satoshi, Hisayuki Hara, & Akimichi Takemura. (2012). Markov Bases in Algebraic Statistics. Springer series in statistics. 38 indexed citations
5.
Hara, Hisayuki, et al.. (2011). Hierarchical subspace models for contingency tables. Journal of Multivariate Analysis. 103(1). 19–34. 3 indexed citations
6.
Hara, Hisayuki & Akimichi Takemura. (2011). A Markov Basis for Two-state Toric Homogeneous Markov Chain Model Without Initial Parameters. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 41(1). 33–49. 4 indexed citations
7.
Takemura, Akimichi & Hisayuki Hara. (2011). Markov chain Monte Carlo test of toric homogeneous Markov chains. Statistical Methodology. 9(3). 392–406. 3 indexed citations
8.
Hara, Hisayuki, Akimichi Takemura, & Ruriko Yoshida. (2010). On connectivity of fibers with positive marginals in multiple logistic regression. Journal of Multivariate Analysis. 101(4). 909–925. 87 indexed citations
9.
Hara, Hisayuki, et al.. (2010). The Relationship between Changes in China's Export Policy and Rare Earth Prices. Journal of MMIJ. 126(6). 172–183. 1 indexed citations
10.
Hara, Hisayuki & Akimichi Takemura. (2010). A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models. Communication in Statistics- Theory and Methods. 39(8-9). 1643–1654. 6 indexed citations
11.
Hara, Hisayuki, Akimichi Takemura, & Ruriko Yoshida. (2008). Markov bases for two-way subtable sum problems. Journal of Pure and Applied Algebra. 213(8). 1507–1521. 9 indexed citations
12.
Hara, Hisayuki & Akimichi Takemura. (2008). Bayes admissible estimation of the means in Poisson decomposable graphical models. Journal of Statistical Planning and Inference. 139(4). 1297–1319. 4 indexed citations
13.
Hara, Hisayuki, Akimichi Takemura, & Ruriko Yoshida. (2008). A Markov basis for conditional test of common diagonal effect in quasi-independence model for square contingency tables. Computational Statistics & Data Analysis. 53(4). 1006–1014. 10 indexed citations
14.
Hara, Hisayuki, Satoshi Aoki, & Akimichi Takemura. (2007). Fibers of sample size two of hierarchical models and Markov bases of decomposable models for contingency tables. arXiv (Cornell University). 2 indexed citations
15.
Takemura, Akimichi & Hisayuki Hara. (2007). Conditions for swappability of records in a microdata set when some marginals are fixed. Computational Statistics. 22(1). 173–185. 2 indexed citations
16.
Hara, Hisayuki & Akimichi Takemura. (2006). Improving on the maximum likelihood estimators of the means in Poisson decomposable graphical models. Journal of Multivariate Analysis. 98(2). 410–434. 5 indexed citations
17.
Hara, Hisayuki & Akimichi Takemura. (2006). Simultaneous Estimation of the Means in Some Poisson Log Linear Models. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 36(1). 17–36. 3 indexed citations
18.
Hara, Hisayuki. (2002). ESTIMATING A COVARIANCE MATRIX IN MANOVA MODEL. Statistics & Risk Modeling. 20(1-4).
19.
Hara, Hisayuki. (2001). Other Classes of Minimax Estimators of Variance Covariance Matrix in Multivariate Normal Distribution. Journal of Multivariate Analysis. 77(2). 175–186.
20.
Osborn, John J., et al.. (1965). On the theory of the cardiovascular system. Bulletin of Mathematical Biology. 27(S1). 71–83. 7 indexed citations

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.

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