Minoru Siotani

586 total citations
33 papers, 374 citations indexed

About

Minoru Siotani is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Minoru Siotani has authored 33 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Minoru Siotani's work include Advanced Statistical Methods and Models (11 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Distribution Estimation and Applications (5 papers). Minoru Siotani is often cited by papers focused on Advanced Statistical Methods and Models (11 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Distribution Estimation and Applications (5 papers). Minoru Siotani collaborates with scholars based in Japan and United States. Minoru Siotani's co-authors include Yasunori Fujikoshi, Takesi Hayakawa, Colin Goodall, Takashi Seo, Makoto Aoshima, Edward J. Dudewicz, Shu Geng and C. C. Craig and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Mathematics of Computation.

In The Last Decade

Minoru Siotani

27 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minoru Siotani Japan	12	302	105	82	46	24	33	374
C. B. Bell United States	10	142 0.5×	63 0.6×	38 0.5×	44 1.0×	14 0.6×	24	250
D. G. Kabe Canada	10	216 0.7×	65 0.6×	48 0.6×	38 0.8×	6 0.3×	92	347
Hisao Nagao Japan	10	314 1.0×	112 1.1×	23 0.3×	28 0.6×	11 0.5×	29	378
Takesi Hayakawa Japan	11	262 0.9×	86 0.8×	40 0.5×	17 0.4×	9 0.4×	25	375
James Hannan United States	9	166 0.5×	69 0.7×	52 0.6×	30 0.7×	4 0.2×	20	252
M. C. Spruill United States	8	128 0.4×	67 0.6×	71 0.9×	48 1.0×	12 0.5×	28	265
Yves Romain France	6	259 0.9×	97 0.9×	28 0.3×	27 0.6×	13 0.5×	16	393
G. W. Hill Australia	8	135 0.4×	78 0.7×	29 0.4×	24 0.5×	9 0.4×	17	294
Yu. I. Ingster Russia	7	195 0.6×	94 0.9×	15 0.2×	47 1.0×	26 1.1×	28	282
Song-Gui Wang China	11	214 0.7×	35 0.3×	52 0.6×	59 1.3×	15 0.6×	47	355

Countries citing papers authored by Minoru Siotani

Since Specialization

Citations

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

Fields of papers citing papers by Minoru Siotani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minoru Siotani

This figure shows the co-authorship network connecting the top 25 collaborators of Minoru Siotani. A scholar is included among the top collaborators of Minoru Siotani 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 Minoru Siotani. Minoru Siotani 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

Siotani, Minoru, et al.. (2006). Contributions to multivariate analysis by Professor Yasunori Fujikoshi. Journal of Multivariate Analysis. 97(9). 1914–1926. 1 indexed citations

Siotani, Minoru, et al.. (1998). ASYMPTOTIC EXPANSION FOR SAMPLING DISTRIBUTION AND SAMPLE SIZE IN STATISTICAL INFERENCE II. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 28(2). 135–152. 1 indexed citations

Siotani, Minoru, et al.. (1995). Asymptotic Expansion for Sampling Distribution and Sample Size in Statistical Inference I–Presentation of the Problem, Illustrated by the T²-Test. American Journal of Mathematical and Management Sciences. 15(3-4). 215–237. 2 indexed citations

Siotani, Minoru, et al.. (1994). Asymptotic distributions of functions of a sample covariance matrix under the elliptical distribution. Canadian Journal of Statistics. 22(2). 273–283. 11 indexed citations

Seo, Takashi & Minoru Siotani. (1992). THE MULTIVARIATE STUDENTIZED RANGE AND ITS UPPER PERCENTILES. 22(2). 123–137. 22 indexed citations

Siotani, Minoru. (1989). Distributions of Lawley-Hotelling'sT₀²and Related Statistics: A Review. American Journal of Mathematical and Management Sciences. 9(1-2). 5–30. 4 indexed citations

Siotani, Minoru, et al.. (1987). The Doubly Noncentral Distribution of Wilks' Statistic in MANOVA. Biometrical Journal. 29(1). 21–29. 2 indexed citations

Siotani, Minoru, et al.. (1987). On randomization in multivariate analysis of variance. Journal of Statistical Planning and Inference. 17. 217–226. 3 indexed citations

Siotani, Minoru, et al.. (1987). The Multivariate Heteroscedastic Method: Distributions of Statistics and an Application. American Journal of Mathematical and Management Sciences. 7(1-2). 89–111. 6 indexed citations

10.

Goodall, Colin, Minoru Siotani, Takesi Hayakawa, & Yasunori Fujikoshi. (1987). Modern Multivariate Statistical Analysis: A Graduate Course and Handbook. Technometrics. 29(2). 242–242. 72 indexed citations

11.

Siotani, Minoru, et al.. (1986). DISTRIBUTIONS OF SOME STATISTICS IN HETEROSCEDASTIC INFERENCE METHOD:POWER FUNCTIONS AND PERCENTAGE POINTS. 16(1). 7–20. 3 indexed citations

12.

Siotani, Minoru, et al.. (1985). Notes on Wishartness and independence of multivariate quadratic forms in correlated normal vectors. Hiroshima Mathematical Journal. 15(1).

13.

Siotani, Minoru & Shu Geng. (1974). Asymptotic joint distribution of the largest roots of several multivariate F matrices I. Quasi-independent case. Journal of Multivariate Analysis. 4(2). 150–165. 2 indexed citations

14.

Siotani, Minoru. (1971). An Asymptotic Expansion of the Non-Null Distribution of Hotelling's Generalized $T_0^2$-Statistic. The Annals of Mathematical Statistics. 42(2). 560–571. 28 indexed citations

15.

Siotani, Minoru. (1968). Cancellation of section 5 of “Some applications of Loewner’s ordering on symmetric matrices”. Annals of the Institute of Statistical Mathematics. 20(1). 168–168. 1 indexed citations

16.

Siotani, Minoru. (1967). Some applications of Loewner's ordering on symmetric matrices. Annals of the Institute of Statistical Mathematics. 19(1). 245–259. 13 indexed citations

17.

Siotani, Minoru. (1964). Interval Estimation for Linear Combinations of Means. Journal of the American Statistical Association. 59(308). 1141–1164. 14 indexed citations

18.

Siotani, Minoru. (1959). The extreme value of the generalized distances of the individual points in the multivariate normal sample. Annals of the Institute of Statistical Mathematics. 10(3). 183–208. 64 indexed citations

19.

Siotani, Minoru. (1957). Note on the utilization of the generalized student ratio in the analysis of variance or dispersion. Annals of the Institute of Statistical Mathematics. 9(3). 22 indexed citations

20.

Siotani, Minoru. (1955). The significance of the discordant variance estimates. Annals of the Institute of Statistical Mathematics. 7(2). 39–55.

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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