Makoto Aoshima

1.1k total citations
67 papers, 663 citations indexed

About

Makoto Aoshima is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Makoto Aoshima has authored 67 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 27 papers in Artificial Intelligence and 17 papers in Molecular Biology. Recurrent topics in Makoto Aoshima's work include Statistical Methods and Inference (33 papers), Bayesian Methods and Mixture Models (20 papers) and Gene expression and cancer classification (17 papers). Makoto Aoshima is often cited by papers focused on Statistical Methods and Inference (33 papers), Bayesian Methods and Mixture Models (20 papers) and Gene expression and cancer classification (17 papers). Makoto Aoshima collaborates with scholars based in Japan, United States and Czechia. Makoto Aoshima's co-authors include Kazuyoshi Yata, Nitis Mukhopadhyay, Yoshikazu Takada, Dan Shen, Edward J. Dudewicz, Yi‐Hui Zhou, J. S. Marron, Haipeng Shen, Muni S. Srivastava and Yuko Kobayashi and has published in prestigious journals such as The Astrophysical Journal Supplement Series, Journal of Multivariate Analysis and Journal of Statistical Planning and Inference.

In The Last Decade

Makoto Aoshima

63 papers receiving 646 citations

Peers

Makoto Aoshima
Kazuyoshi Yata Japan
Wolfgang Polonik United States
Peter Radchenko United States
Zhao Ren United States
C.-L. Tsai China
Martina Mincheva United States
Τ. N. Sriram United States
Kazuyoshi Yata Japan
Makoto Aoshima
Citations per year, relative to Makoto Aoshima Makoto Aoshima (= 1×) peers Kazuyoshi Yata

Countries citing papers authored by Makoto Aoshima

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Aoshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Aoshima

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Aoshima. A scholar is included among the top collaborators of Makoto Aoshima 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 Makoto Aoshima. Makoto Aoshima 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.
Yata, Kazuyoshi & Makoto Aoshima. (2023). Automatic Sparse PCA for High-Dimensional Data. Statistica Sinica. 1 indexed citations
2.
Yata, Kazuyoshi, et al.. (2020). Hypothesis tests for high-dimensional covariance structures. Annals of the Institute of Statistical Mathematics. 73(3). 599–622. 5 indexed citations
3.
4.
Aoshima, Makoto & Kazuyoshi Yata. (2018). Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models. Annals of the Institute of Statistical Mathematics. 71(3). 473–503. 16 indexed citations
5.
Yata, Kazuyoshi, et al.. (2017). Support vector machine and its bias correction in high-dimension, low-sample-size settings. Journal of Statistical Planning and Inference. 191. 88–100. 16 indexed citations
6.
Aoshima, Makoto & Kazuyoshi Yata. (2013). Asymptotic Normality for Inference on Multisample, High-Dimensional Mean Vectors Under Mild Conditions. Methodology And Computing In Applied Probability. 17(2). 419–439. 18 indexed citations
7.
Yata, Kazuyoshi & Makoto Aoshima. (2013). Correlation tests for high-dimensional data using extended cross-data-matrix methodology. Journal of Multivariate Analysis. 117. 313–331. 17 indexed citations
8.
Aoshima, Makoto & Kazuyoshi Yata. (2013). A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data. Annals of the Institute of Statistical Mathematics. 66(5). 983–1010. 34 indexed citations
9.
Aoshima, Makoto, Nitis Mukhopadhyay, & Yuko Kobayashi. (2011). Two-Stage Procedures for Estimating the Difference of Means when the Sampling Cost is Different. Sequential Analysis. 30(2). 160–171. 6 indexed citations
10.
Yata, Kazuyoshi & Makoto Aoshima. (2011). Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations. Journal of Multivariate Analysis. 105(1). 193–215. 77 indexed citations
11.
Yata, Kazuyoshi & Makoto Aoshima. (2010). Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix. Journal of Multivariate Analysis. 101(9). 2060–2077. 44 indexed citations
12.
Yata, Kazuyoshi & Makoto Aoshima. (2008). Double shrink methodologies to determine the sample size via covariance structures. Journal of Statistical Planning and Inference. 139(2). 81–99. 4 indexed citations
13.
Aoshima, Makoto & Yoshikazu Takada. (2006). Second-Order Efficiency for Two-Stage Estimation of a Linear Function of Normal Mean Vectors when Covariance Matrices Have Some Structures. Sequential Analysis. 25(3). 327–345. 2 indexed citations
14.
Aoshima, Makoto. (2005). Statistical inference in two-stage sampling. 125–145. 7 indexed citations
15.
Aoshima, Makoto & Yoshikazu Takada. (2004). Asymptotic Second-Order Efficiency for Multivariate Two-Stage Estimation of a Linear Function of Normal Mean Vectors. Sequential Analysis. 23(3). 333–353. 5 indexed citations
16.
Aoshima, Makoto & Pinyuen Chen. (1999). A two-stage procedure for selecting the largest multinomial cell probability when nuisance cell is present. Sequential Analysis. 18(2). 143–155. 2 indexed citations
17.
Aoshima, Makoto & Nitis Mukhopadhyay. (1999). Second-order properties of a two-stage fixed-size confidence region when the covariance matrix has a structure. Communication in Statistics- Theory and Methods. 28(3-4). 839–855. 11 indexed citations
18.
Aoshima, Makoto & Nitis Mukhopadhyay. (1998). Fixed-Width Simultaneous Confidence Intervals for Multinormal Means in Several Intraclass Correlation Models. Journal of Multivariate Analysis. 66(1). 46–63. 8 indexed citations
19.
Aoshima, Makoto & Yutaka Kano. (1997). A note on robustness of two-stage procedure for a multivariate compounded normal distribution. Sequential Analysis. 16(2). 175–187. 1 indexed citations
20.
Aoshima, Makoto, et al.. (1996). An asymptotically optimal fixed-width confidence interval for the difference of two normal means. Sequential Analysis. 15(1). 61–70. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kazuyoshi Yata Breakdown of academic impact, for papers by Wolfgang Polonik Breakdown of academic impact, for papers by Peter Radchenko Breakdown of academic impact, for papers by Zhao Ren Breakdown of academic impact, for papers by C.-L. Tsai Breakdown of academic impact, for papers by Martina Mincheva Breakdown of academic impact, for papers by Τ. N. Sriram
Rankless by CCL
2026