Satoshi Kuriki

1.0k total citations
55 papers, 539 citations indexed

About

Satoshi Kuriki is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Satoshi Kuriki has authored 55 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 14 papers in Applied Mathematics. Recurrent topics in Satoshi Kuriki's work include Bayesian Methods and Mixture Models (12 papers), Statistical Methods and Bayesian Inference (11 papers) and Point processes and geometric inequalities (10 papers). Satoshi Kuriki is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Statistical Methods and Bayesian Inference (11 papers) and Point processes and geometric inequalities (10 papers). Satoshi Kuriki collaborates with scholars based in Japan, United States and Canada. Satoshi Kuriki's co-authors include Akimichi Takemura, Anthony J. Hayter, Tetsuhisa Miwa, Gwo Dong Lin, Steven D. Blostein, Chihiro Hirotsu, Yoshikazu Miyanaga, Hyundong Shin, Akihiko Mita and Toshihiko Shiroishi and has published in prestigious journals such as Genetics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Satoshi Kuriki

50 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Kuriki Japan 14 222 84 80 74 73 55 539
Yasuko Chikuse Japan 11 221 1.0× 153 1.8× 80 1.0× 15 0.2× 10 0.1× 32 510
A. G. Constantine Australia 10 291 1.3× 111 1.3× 140 1.8× 39 0.5× 5 0.1× 15 688
Pierre-André Zitt France 10 185 0.8× 54 0.6× 78 1.0× 5 0.1× 22 0.3× 23 401
Peter E. Castro United States 6 130 0.6× 73 0.9× 88 1.1× 33 0.4× 5 0.1× 7 386
Антон Илиев Bulgaria 9 78 0.4× 62 0.7× 26 0.3× 12 0.2× 6 0.1× 83 395
Patricia Reynaud-Bouret France 12 124 0.6× 84 1.0× 120 1.5× 11 0.1× 5 0.1× 32 383
Zhao Ren United States 10 303 1.4× 150 1.8× 25 0.3× 8 0.1× 22 0.3× 25 529
J. D. P. Meldrum United Kingdom 10 69 0.3× 92 1.1× 58 0.7× 38 0.5× 6 0.1× 52 753
Claudia Kirch Germany 18 519 2.3× 113 1.3× 57 0.7× 12 0.2× 18 0.2× 48 808
Derrick S. Tracy Canada 10 106 0.5× 37 0.4× 27 0.3× 26 0.4× 7 0.1× 30 319

Countries citing papers authored by Satoshi Kuriki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Kuriki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Kuriki

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Kuriki. A scholar is included among the top collaborators of Satoshi Kuriki 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 Satoshi Kuriki. Satoshi Kuriki 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.
Kuriki, Satoshi & Takahiko Matsubara. (2023). Asymptotic expansion of the expected Minkowski functional for isotropic central limit random fields. Advances in Applied Probability. 55(4). 1390–1414.
2.
Takayama, Nobuki, Satoshi Kuriki, & Akimichi Takemura. (2018). A-hypergeometric distributions and Newton polytopes. Advances in Applied Mathematics. 99. 109–133. 4 indexed citations
3.
Lu, Xiaolei & Satoshi Kuriki. (2016). Simultaneous confidence bands for contrasts between several nonlinear regression curves. Journal of Multivariate Analysis. 155. 83–104. 5 indexed citations
4.
Takemura, Akimichi, et al.. (2015). Schur Complement Based Analysis of MIMO Zero-Forcing for Rician Fading. IEEE Transactions on Wireless Communications. 14(4). 1757–1771. 12 indexed citations
5.
Kuriki, Satoshi, et al.. (2013). EM algorithms for estimating the Bernstein copula function. arXiv (Cornell University). 2 indexed citations
6.
Kuriki, Satoshi, et al.. (2013). Dependence structures and asymptotic properties of Baker's distributions with fixed marginals. Journal of Statistical Planning and Inference. 143(8). 1343–1354. 6 indexed citations
7.
Kuriki, Satoshi, et al.. (2012). Likelihood ratio tests for positivity in polynomial regressions. Journal of Multivariate Analysis. 115. 334–346. 5 indexed citations
8.
Kuriki, Satoshi. (2010). Distributions of the Largest Singular Values of Skew-Symmetric Random Matrices and their Applications to Paired Comparisons. Communication in Statistics- Theory and Methods. 39(8-9). 1522–1535. 2 indexed citations
9.
Umemori, Juzoh, Akinori Nishi, Arimantas Lionikas, et al.. (2009). QTL analyses of temporal and intensity components of home-cage activity in KJR and C57BL/6J strains. BMC Genetics. 10(1). 40–40. 11 indexed citations
10.
Kuriki, Satoshi & Akimichi Takemura. (2008). The tube method for the moment index in projection pursuit. Journal of Statistical Planning and Inference. 138(9). 2749–2762. 5 indexed citations
11.
Takemura, Akimichi, et al.. (2008). Star-shaped distributions and their generalizations. Journal of Statistical Planning and Inference. 138(11). 3429–3447. 12 indexed citations
12.
Kuriki, Satoshi, et al.. (2006). Testing marginal homogeneity against stochastically ordered marginals for r×r contingency tables. Journal of Multivariate Analysis. 97(6). 1330–1341. 4 indexed citations
13.
Kuriki, Satoshi, Koji Nobuta, Tatsuya Yokota, et al.. (2005). Retrieval of trace gases from aerosol-influenced infrared transmission spectra observed by low-spectral-resolution Fourier-transform spectrometers. Applied Optics. 44(3). 455–455. 1 indexed citations
14.
Kuriki, Satoshi & Akimichi Takemura. (2003). Tail probabilities of the limiting null distributions of the Anderson–Stephens statistics. Journal of Multivariate Analysis. 89(2). 261–291. 1 indexed citations
15.
Takemura, Akimichi & Satoshi Kuriki. (2003). Tail probability via tube formula when the critical radius is zero. Bernoulli. 9(3). 6 indexed citations
16.
Baba, Yasumasa, et al.. (2002). Recent Advances in Statistical Research and Data Analysis. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
17.
Kuriki, Satoshi & Akimichi Takemura. (2001). Tail probabilities of the maxima of multilinear forms and their applications. The Annals of Statistics. 29(2). 27 indexed citations
18.
Takemura, Akimichi & Satoshi Kuriki. (2000). Maximum Covariance Di erence Test for Equality of Two Covariance Matrices. RePEc: Research Papers in Economics.
19.
Kuriki, Satoshi & Akimichi Takemura. (2000). Shrinkage Estimation towards a Closed Convex Set with a Smooth Boundary. Journal of Multivariate Analysis. 75(1). 79–111. 11 indexed citations
20.
Takemura, Akimichi & Satoshi Kuriki. (1997). Weights of $\bar{x}^2$ distribution for smooth or piecewise smooth cone alternatives. The Annals of Statistics. 1007(6). 2368–2387. 19 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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