Hiroki Hashiguchi

1.2k total citations · 1 hit paper
35 papers, 824 citations indexed

About

Hiroki Hashiguchi is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Artificial Intelligence. According to data from OpenAlex, Hiroki Hashiguchi has authored 35 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 9 papers in Discrete Mathematics and Combinatorics and 6 papers in Artificial Intelligence. Recurrent topics in Hiroki Hashiguchi's work include Random Matrices and Applications (12 papers), Advanced Combinatorial Mathematics (9 papers) and Advanced Statistical Methods and Models (7 papers). Hiroki Hashiguchi is often cited by papers focused on Random Matrices and Applications (12 papers), Advanced Combinatorial Mathematics (9 papers) and Advanced Statistical Methods and Models (7 papers). Hiroki Hashiguchi collaborates with scholars based in Japan, United States and Germany. Hiroki Hashiguchi's co-authors include Takuichi Nishimura, Masataka Goto, Ryuichi Oka, Shu Yamada, Akimichi Takemura, Nobuki Takayama, Tohru Ikeguchi, Tomoya Suzuki, Akihiro Kaneko and Kantaro Fujiwara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Journal of Multivariate Analysis.

In The Last Decade

Hiroki Hashiguchi

27 papers receiving 734 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rwc Music Database: Popular, Classical And Jazz Music Databases.

2002 390 citations Masataka Goto, Hiroki Hashiguchi et al. Zenodo (CERN European Organization for Nuclear Research) profile →

Peers

Hiroki Hashiguchi

SP

CVPR

AI

CN

SP

Purdy Ho United States

Matthew D. Mullin United States

Markus Flierl Sweden

Jan Skoglund United States

Michael Revow Canada

Patrice Y. Simard United States

Chunhua Zhang China

Akisato Kimura Japan

Yanwei Pang China

Umut Şimşekli Türkiye

Purdy Ho United States

Hiroki Hashiguchi

242 ×0.4

SP

620 ×1.3

CVPR

235 ×1.9

AI

26 ×0.3

CN

19 ×0.3

SP

Citations per year, relative to Hiroki Hashiguchi Hiroki Hashiguchi (= 1×) peers Purdy Ho

Countries citing papers authored by Hiroki Hashiguchi

Since Specialization

Citations

This map shows the geographic impact of Hiroki Hashiguchi'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 Hiroki Hashiguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Hashiguchi more than expected).

Fields of papers citing papers by Hiroki Hashiguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroki Hashiguchi. 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 Hiroki Hashiguchi. The network helps show where Hiroki Hashiguchi may publish in the future.

Co-authorship network of co-authors of Hiroki Hashiguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Hashiguchi. A scholar is included among the top collaborators of Hiroki Hashiguchi 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 Hiroki Hashiguchi. Hiroki Hashiguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Hashiguchi, Hiroki, et al.. (2024). Distribution of the sum of gamma mixture random variables. SUT Journal of Mathematics. 60(1). 1 indexed citations

2.

Kaneko, Akihiro & Hiroki Hashiguchi. (2023). Greedy separation algorithm finding community for a stochastic block model. Communications in Statistics - Simulation and Computation. 54(7). 2460–2470. 1 indexed citations

3.

Hashiguchi, Hiroki, et al.. (2022). Asymptotic behavior of the distributions of eigenvalues for beta-Wishart ensemble under the dispersed population eigenvalues. Communication in Statistics- Theory and Methods. 52(22). 7840–7860.

4.

Hashiguchi, Hiroki, et al.. (2022). Algorithm for the product of Jack polynomials and its application to the sphericity test. Statistics & Probability Letters. 187. 109505–109505. 1 indexed citations

5.

Hashiguchi, Hiroki, et al.. (2021). The distribution of the sum of independent and non identically generalized Lindley random variables. Communication in Statistics- Theory and Methods. 52(8). 2597–2609. 1 indexed citations

6.

Hashiguchi, Hiroki, Nobuki Takayama, & Akimichi Takemura. (2018). Distribution of the ratio of two Wishart matrices and cumulative probability evaluation by the holonomic gradient method. Journal of Multivariate Analysis. 165. 270–278. 3 indexed citations

7.

Hashiguchi, Hiroki, et al.. (2018). EXACT DISTRIBUTION OF THE LARGEST AND SMALLEST EIGENVALUES OF THE RATIO OF TWO ELLIPTICAL WISHART MATRICES. 19(2). 71–82. 1 indexed citations

8.

Shinozaki‐Ushiku, Aya, et al.. (2018). DISTRIBUTION OF THE LARGEST EIGENVALUE OF AN ELLIPTICAL WISHART MATRIX AND ITS SIMULATION. 30(2). 1–12. 4 indexed citations

9.

Klar, Bernhard, et al.. (2017). A test procedure for uniformity on the Stiefel manifold based on projection. Statistics & Probability Letters. 128. 89–96.

10.

Hashiguchi, Hiroki, et al.. (2013). The holonomic gradient method for the distribution function of the largest root of a Wishart matrix. Journal of Multivariate Analysis. 117. 296–312. 30 indexed citations

11.

Ogura, Toru, et al.. (2013). Approximation of upper percentile points for the second largest latent root in principal component analysis. 4(2). 107–107. 1 indexed citations

12.

Hashiguchi, Hiroki, et al.. (2012). MATHEMATICAL ENGINEERING TECHNICAL REPORTS Holonomic Gradient Method for the Distribution Function of the Largest Root of a Wishart Matrix. 1 indexed citations

13.

Hashiguchi, Hiroki, et al.. (2011). Improved omnibus test statistic for normality. Computational Statistics. 27(2). 299–317. 3 indexed citations

14.

Hiraoka, Kazuyuki, et al.. (2010). Algorithm for computing Jordan basis. JSIAM Letters. 2(0). 119–122.

15.

Hashiguchi, Hiroki, et al.. (2009). Computing p-values in conditional independence models for a contingency table. Computational Statistics. 25(1). 57–70. 3 indexed citations

16.

Suzuki, Tomoya, et al.. (2007). Bootstrap nonlinear prediction. Physical Review E. 75(5). 56212–56212. 8 indexed citations

17.

Hashiguchi, Hiroki, et al.. (2006). NUMERICAL COMPUTATION ON DISTRIBUTIONS OF THE LARGEST AND THE SMALLEST LATENT ROOTS OF THE WISHART MATRIX. 19(1). 45–56. 8 indexed citations

18.

Goto, Masataka, Hiroki Hashiguchi, Takuichi Nishimura, & Ryuichi Oka. (2004). RWC Music Database: Database of Copyright-cleared Musical Pieces and Instrument Sounds for Research Purposes. 45(3). 728–738. 11 indexed citations

19.

Goto, Masataka, Hiroki Hashiguchi, Takuichi Nishimura, & Ryuichi Oka. (2003). Rwc Music Database: Music Genre Database And Musical Instrument Sound Database.. Zenodo (CERN European Organization for Nuclear Research). 2003(1). 843–844. 289 indexed citations

20.

Hashiguchi, Hiroki, et al.. (1998). Computer algebra application to the distribution of sample correlation coefficient. Mathematics and Computers in Simulation. 45(1-2). 23–32.

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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