Takemi Yanagimoto

739 total citations
61 papers, 453 citations indexed

About

Takemi Yanagimoto is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Takemi Yanagimoto has authored 61 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 6 papers in Applied Mathematics. Recurrent topics in Takemi Yanagimoto's work include Statistical Methods and Bayesian Inference (28 papers), Advanced Statistical Methods and Models (25 papers) and Statistical Distribution Estimation and Applications (25 papers). Takemi Yanagimoto is often cited by papers focused on Statistical Methods and Bayesian Inference (28 papers), Advanced Statistical Methods and Models (25 papers) and Statistical Distribution Estimation and Applications (25 papers). Takemi Yanagimoto collaborates with scholars based in Japan. Takemi Yanagimoto's co-authors include Masashi Okamoto, Masaaki Sibuya, Masakatsu Yanagimoto, Toshio Ohnishi, Eiji Yamamoto, Ei YAMAMOTO, Nobuhisa Kashiwagi, Kunio Shimizu, Ryo Yoshida and Norihito Watanabe and has published in prestigious journals such as Technometrics, Biometrics and Environmental Health Perspectives.

In The Last Decade

Takemi Yanagimoto

51 papers receiving 401 citations

Peers

Takemi Yanagimoto

MSOR

FINAN

SPU

V. Papathanasiou Greece

Brajendra C. Sutradhar Canada

Yu. V. Borovskich Ukraine

Carles M. Cuadras Spain

Nengxiang Ling China

Víctor Pérez‐Abreu Mexico

Roelof Helmers Netherlands

Georg Neuhaus Germany

Jiunn Tzon Hwang United States

Stephen G. Walker United Kingdom

V. Papathanasiou Greece

Takemi Yanagimoto

225 ×0.8

56 ×0.5

67 ×0.7

MSOR

23 ×0.3

FINAN

49 ×1.2

SPU

Citations per year, relative to Takemi Yanagimoto Takemi Yanagimoto (= 1×) peers V. Papathanasiou

Countries citing papers authored by Takemi Yanagimoto

Since Specialization

Citations

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

Fields of papers citing papers by Takemi Yanagimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takemi Yanagimoto

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

Yanagimoto, Takemi, et al.. (2023). A pair of novel priors for improving and extending the conditional MLE. Journal of Statistical Planning and Inference. 231. 106117–106117.

Ogura, Toru & Takemi Yanagimoto. (2022). Estimation of highly heterogeneous multinomial probabilities observed at the beginning of COVID-19. Figshare. 6(1). 164–181.

Ohnishi, Toshio & Takemi Yanagimoto. (2010). Duality Induced from Conjugacy in the Curved Exponential Family. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 40(1). 23–43. 1 indexed citations

Yanagimoto, Takemi & Toshio Ohnishi. (2009). Predictive Credible Region for Bayesian Diagnosis of a Hypothesis. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 39(1). 111–131. 1 indexed citations

Yanagimoto, Takemi & Toshio Ohnishi. (2004). Standardized posterior mode for the flexible use of a conjugate prior. Journal of Statistical Planning and Inference. 131(2). 253–269. 6 indexed citations

Fujii, Yoshinori & Takemi Yanagimoto. (2003). Pairwise conditional score functions: a generalization of the Mantel–Haenszel estimator. Journal of Statistical Planning and Inference. 128(1). 1–12. 2 indexed citations

Yamamoto, Eiji & Takemi Yanagimoto. (1994). Statistical methods for the beta-binomial model in teratology.. Environmental Health Perspectives. 102(suppl 1). 25–31. 3 indexed citations

Yanagimoto, Takemi & Eiji Yamamoto. (1993). A criterion of sensitivity of an estimating function. Communication in Statistics- Theory and Methods. 22(2). 451–460. 2 indexed citations

Yanagimoto, Takemi. (1992). THE MANTEL-HAENSZEL STATISTICS FOR THE EXTENDED ODDS RATIO IN THE NEGATIVE BINOMIAL DISTRIBUTION. 22(1). 7–17. 4 indexed citations

10.

Kashiwagi, Nobuhisa & Takemi Yanagimoto. (1992). Smoothing Serial Count Data Through a State-Space Model. Biometrics. 48(4). 1187–1187. 17 indexed citations

11.

Yanagimoto, Takemi & Eiji Yamamoto. (1991). Constructing elementary procedures for inference of the gamma distribution. Annals of the Institute of Statistical Mathematics. 43(3). 539–550. 4 indexed citations

12.

Yanagimoto, Takemi & Nobuhisa Kashiwagi. (1990). Empirical Bayes methods for smoothing data and for simultaneous estimation of many parameters.. Environmental Health Perspectives. 87. 109–114. 6 indexed citations

13.

Yamamoto, Eiji & Takemi Yanagimoto. (1988). LITTER EFFECTS TO DOSE-RESPONSE CURVE ESTIMATION. 18(2). 97–106. 3 indexed citations

14.

Yanagimoto, Takemi. (1987). A notion of an obstructive residual likelihood. Annals of the Institute of Statistical Mathematics. 39(2). 247–261. 7 indexed citations

15.

Yanagimoto, Takemi & Masakatsu Yanagimoto. (1987). The Use of Marginal Likelihood for a Diagnostic Test for the Goodness of Fit of the Simple Linear Regression Model. Technometrics. 29(1). 95–101. 13 indexed citations

16.

Yanagimoto, Takemi, et al.. (1985). Point process models in asthma attacks for assessing environmental risk factors.. Environmental Health Perspectives. 63. 203–210. 1 indexed citations

17.

Yanagimoto, Takemi & Ei YAMAMOTO. (1979). Estimation of safe doses: critical review of the hockey stick regression method.. Environmental Health Perspectives. 32. 193–199. 32 indexed citations

18.

Yanagimoto, Takemi & Masaaki Sibuya. (1976). Isotonic tests for spread and tail. Annals of the Institute of Statistical Mathematics. 28(1). 329–342. 11 indexed citations

19.

Yanagimoto, Takemi & Masaaki Sibuya. (1972). Test of symmetry of a one-dimensional distribution against positive biasedness. Annals of the Institute of Statistical Mathematics. 24(1). 423–434. 8 indexed citations

20.

Yanagimoto, Takemi & Masaaki Sibuya. (1972). Stochastically larger component of a random vector. Annals of the Institute of Statistical Mathematics. 24(1). 259–269. 13 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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