Tetsuhisa Miwa

810 total citations
23 papers, 382 citations indexed

About

Tetsuhisa Miwa is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Tetsuhisa Miwa has authored 23 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 3 papers in Artificial Intelligence. Recurrent topics in Tetsuhisa Miwa's work include Optimal Experimental Design Methods (8 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Inference (5 papers). Tetsuhisa Miwa is often cited by papers focused on Optimal Experimental Design Methods (8 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Inference (5 papers). Tetsuhisa Miwa collaborates with scholars based in Japan, United States and United Kingdom. Tetsuhisa Miwa's co-authors include Anthony J. Hayter, Tomoyuki Ishida, Shigeto Kawashima, Torsten Hothorn, Xuefei Mi, Satoshi Kuriki, Wei Liu, Frank Bretz, Alan Genz and Yasuyuki Yoshimura and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Computational Statistics & Data Analysis.

In The Last Decade

Tetsuhisa Miwa

21 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuhisa Miwa Japan 9 144 103 87 65 48 23 382
Nan‐Jung Hsu Taiwan 12 128 0.9× 119 1.2× 29 0.3× 45 0.7× 12 0.3× 28 441
Monica Musio Italy 11 126 0.9× 42 0.4× 34 0.4× 54 0.8× 9 0.2× 35 379
Guoyi Zhang United States 9 65 0.5× 61 0.6× 27 0.3× 45 0.7× 12 0.3× 31 360
Hyon‐Jung Kim Finland 8 102 0.7× 136 1.3× 22 0.3× 88 1.4× 30 0.6× 16 592
Rajarshi Guhaniyogi United States 9 109 0.8× 215 2.1× 26 0.3× 53 0.8× 12 0.3× 22 470
H. Joseph Newton United States 11 83 0.6× 66 0.6× 23 0.3× 44 0.7× 58 1.2× 43 377
Jonathan R. Bradley United States 10 125 0.9× 116 1.1× 19 0.2× 38 0.6× 12 0.3× 35 330
Qi Lu United States 5 73 0.5× 68 0.7× 21 0.2× 337 5.2× 12 0.3× 7 614
Henri Caussinus France 10 140 1.0× 51 0.5× 37 0.4× 296 4.6× 9 0.2× 25 628
Marco Oesting Germany 9 76 0.5× 80 0.8× 31 0.4× 127 2.0× 4 0.1× 22 327

Countries citing papers authored by Tetsuhisa Miwa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuhisa Miwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuhisa Miwa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuhisa Miwa. A scholar is included among the top collaborators of Tetsuhisa Miwa 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 Tetsuhisa Miwa. Tetsuhisa Miwa 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.
Genz, Alan, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi, & Torsten Hothorn. (2020). Multivariate Normal and t Distributions [R package mvtnorm version 1.1-1]. 18 indexed citations
2.
Yoshimura, Yasuyuki, et al.. (2013). A new method for evaluating flowering synchrony to support the temporal isolation of genetically modified crops from their wild relatives. Journal of Plant Research. 127(1). 109–117. 4 indexed citations
3.
4.
Mi, Xuefei, Tetsuhisa Miwa, & Torsten Hothorn. (2009). mvtnorm: New numerical algorithm for multivariate normal probabilities. The R Journal. 1(1). 37–39. 13 indexed citations
5.
Miwa, Tetsuhisa. (2008). Basic Principles of Multiple Test Procedures. 29(Special_Issue_1). S5–S14.
6.
Kanda, Eiji, Yoichi Torigoe, Tetsuhisa Miwa, & Takashi Kobayashi. (2007). Estimation of Sterility Percentage Caused by Cool Temperature in Rice Plants Using Nonparametric Regression. Japanese Journal of Crop Science. 76(2). 279–287. 1 indexed citations
7.
Otani, Takashi, Nobuyasu Seike, & Tetsuhisa Miwa. (2006). Levels of Dioxins in Rice, Wheat, Soybean, and Adzuki Bean Cultivated in 1999 to 2002 in Japan and Estimation of Their Intake. Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi). 47(4). 182–188. 2 indexed citations
8.
Seike, Nobuyasu, et al.. (2005). Levels of Dioxins in Japanese Fruit in 1999 to 2002 and Estimation of Their Intake. Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi). 46(6). 256–262. 2 indexed citations
9.
Miwa, Tetsuhisa, Anthony J. Hayter, & Satoshi Kuriki. (2003). The Evaluation of General Non-Centred Orthant Probabilities. Journal of the Royal Statistical Society Series B (Statistical Methodology). 65(1). 223–234. 62 indexed citations
10.
Hayter, Anthony J., Tetsuhisa Miwa, & Wei Liu. (2001). EFFICIENT DIRECTIONAL INFERENCE METHODOLOGIES FOR THE COMPARISONS OF THREE ORDERED TREATMENT EFFECTS. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 31(2). 153–174. 1 indexed citations
11.
Somerville, Paul N., Tetsuhisa Miwa, Wei Liu, & Anthony J. Hayter. (2001). Combining One-sided and Two-sided Confidence Interval Procedures for Successive Comparisons of Ordered Treatment Effects. Biometrical Journal. 43(5). 533–542. 5 indexed citations
12.
Hayter, Anthony J., Tetsuhisa Miwa, & Wei Liu. (2000). Combining the advantages of one-sided and two-sided procedures for comparing several treatments with a control. Journal of Statistical Planning and Inference. 86(1). 81–99. 11 indexed citations
13.
Miwa, Tetsuhisa, Anthony J. Hayter, & Wei Liu. (2000). Calculations of level probabilities for normal random variables with unequal variances with applications to Bartholomew's test in unbalanced one-way models. Computational Statistics & Data Analysis. 34(1). 17–32. 16 indexed citations
14.
Liu, Wei, Tetsuhisa Miwa, & Anthony J. Hayter. (2000). Simultaneous confidence interval estimation for successive comparisons of ordered treatment effects. Journal of Statistical Planning and Inference. 88(1). 75–86. 28 indexed citations
15.
Miwa, Tetsuhisa, et al.. (1999). Combining the Advantages of One-Sided and Two-Sided Test Procedures for Comparing Several Treatment Effects. Journal of the American Statistical Association. 94(445). 302–307. 8 indexed citations
16.
Miwa, Tetsuhisa, et al.. (1999). Combining the Advantages of One-Sided and Two-Sided Test Procedures for Comparing Several Treatment Effects. Journal of the American Statistical Association. 94(445). 302–302. 4 indexed citations
17.
Miwa, Tetsuhisa. (1998). Bartholomew's Test as a Multiple Contrast Test and its Applications.. 19(1/2). 1–9. 1 indexed citations
18.
Miwa, Tetsuhisa. (1994). A Compromised Estimator in the Measurement Error Model with Error Variances Unknown.. 15(1). 17–29. 1 indexed citations
19.
Miwa, Tetsuhisa. (1985). NEAREST NEIGHBOR ANALYSIS IN FIELD EXPERIMENTS. 6(0). 1–1. 2 indexed citations
20.
Miwa, Tetsuhisa. (1982). MULTIPLE RANGE PROCEDURES FOR MULTIPLE COMPARISONS. 3(0). 6–12. 1 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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