Shonosuke Sugasawa

646 total citations
65 papers, 305 citations indexed

About

Shonosuke Sugasawa is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Shonosuke Sugasawa has authored 65 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 24 papers in Economics and Econometrics and 18 papers in Artificial Intelligence. Recurrent topics in Shonosuke Sugasawa's work include Statistical Methods and Bayesian Inference (24 papers), Statistical Methods and Inference (23 papers) and Spatial and Panel Data Analysis (20 papers). Shonosuke Sugasawa is often cited by papers focused on Statistical Methods and Bayesian Inference (24 papers), Statistical Methods and Inference (23 papers) and Spatial and Panel Data Analysis (20 papers). Shonosuke Sugasawa collaborates with scholars based in Japan, United States and Canada. Shonosuke Sugasawa's co-authors include Tatsuya Kubokawa, Hisashi Noma, Daisuke Murakami, Genya Kobayashi, Yuki Kawakubo, J. N. K. Rao, Partha Lahiri, Gauri Sankar Datta, Shigeyuki Matsui and Shintaro Hashimoto and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Shonosuke Sugasawa

55 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shonosuke Sugasawa Japan	10	132	80	56	54	27	65	305
Ralf Münnich Germany	10	125 0.9×	73 0.9×	37 0.7×	89 1.6×	12 0.4×	63	287
René Ferland Canada	6	221 1.7×	95 1.2×	67 1.2×	50 0.9×	24 0.9×	19	427
Li‐Pang Chen Taiwan	10	161 1.2×	23 0.3×	64 1.1×	21 0.4×	19 0.7×	65	372
Farshid Mehrdoust Iran	13	92 0.7×	113 1.4×	17 0.3×	109 2.0×	38 1.4×	70	483
Yolanda Marhuenda García Spain	7	90 0.7×	154 1.9×	25 0.4×	105 1.9×	5 0.2×	15	330
Aleksey Tetenov United States	7	159 1.2×	110 1.4×	26 0.5×	54 1.0×	4 0.1×	10	246
Márton Ispány Hungary	12	167 1.3×	37 0.5×	62 1.1×	36 0.7×	6 0.2×	31	388
Victoria Zinde‐Walsh Canada	12	218 1.7×	154 1.9×	47 0.8×	46 0.9×	6 0.2×	37	421
Sanjoy K. Sinha Canada	10	279 2.1×	72 0.9×	49 0.9×	101 1.9×	3 0.1×	40	427
Hongbiao Zhao United Kingdom	10	34 0.3×	50 0.6×	14 0.3×	62 1.1×	16 0.6×	32	341

Countries citing papers authored by Shonosuke Sugasawa

Since Specialization

Citations

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

Fields of papers citing papers by Shonosuke Sugasawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shonosuke Sugasawa

This figure shows the co-authorship network connecting the top 25 collaborators of Shonosuke Sugasawa. A scholar is included among the top collaborators of Shonosuke Sugasawa 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 Shonosuke Sugasawa. Shonosuke Sugasawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Renhe, et al.. (2025). Clustered factor analysis for multivariate spatial data. Spatial Statistics. 66. 100889–100889. 1 indexed citations

Noma, Hisashi, Shonosuke Sugasawa, & Toshi A. Furukawa. (2024). Robust inference methods for meta‐analysis involving influential outlying studies. Statistics in Medicine. 43(20). 3778–3791. 1 indexed citations

Sugasawa, Shonosuke, et al.. (2024). Spatiotemporal factor models for functional data with application to population map forecast. Spatial Statistics. 62. 100849–100849.

Hashimoto, Shintaro, et al.. (2023). Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo. Spatial Statistics. 59. 100793–100793. 2 indexed citations

Irie, Kaoru, et al.. (2023). Locally adaptive Bayesian isotonic regression using half shrinkage priors. Scandinavian Journal of Statistics. 51(1). 109–141. 1 indexed citations

Sugasawa, Shonosuke & Tatsuya Kubokawa. (2023). Mixed-Effects Models and Small Area Estimation. 5 indexed citations

Noma, Hisashi, et al.. (2023). Improved methods to construct prediction intervals for network meta‐analysis. Research Synthesis Methods. 14(6). 794–806. 4 indexed citations

Sugasawa, Shonosuke, et al.. (2023). Hedonic real estate price estimation with the spatiotemporal geostatistical model. RePEc: Research Papers in Economics. 4(1). 1 indexed citations

Hashimoto, Shintaro, et al.. (2023). Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations. Statistics and Computing. 34(1). 1 indexed citations

10.

Sugasawa, Shonosuke, et al.. (2022). Functional Horseshoe Smoothing for Functional Trend Estimation. Statistica Sinica. 1 indexed citations

11.

Sugasawa, Shonosuke, et al.. (2022). Grouped Generalized Estimating Equations for Longitudinal Data Analysis. Biometrics. 79(3). 1868–1879. 10 indexed citations

12.

Sugasawa, Shonosuke, et al.. (2021). On Global-Local Shrinkage Priors for Count Data. Bayesian Analysis. 17(2). 8 indexed citations

13.

Sugasawa, Shonosuke, et al.. (2020). Small area estimation with spatially varying natural exponential families. Journal of Statistical Computation and Simulation. 90(6). 1039–1056. 1 indexed citations

14.

Sugasawa, Shonosuke & Hisashi Noma. (2019). Estimating individual treatment effects by gradient boosting trees. Statistics in Medicine. 38(26). 5146–5159. 10 indexed citations

15.

Sugasawa, Shonosuke. (2019). Robust empirical Bayes small area estimation with density power divergence. Biometrika. 107(2). 467–480. 6 indexed citations

16.

Sugasawa, Shonosuke & Hisashi Noma. (2019). A unified method for improved inference in random effects meta-analysis. Biostatistics. 22(1). 114–130. 7 indexed citations

17.

Sugasawa, Shonosuke, Tatsuya Kubokawa, & J. N. K. Rao. (2018). Hierarchical Bayes small‐area estimation with an unknown link function. Scandinavian Journal of Statistics. 46(3). 885–897. 3 indexed citations

18.

Sugasawa, Shonosuke, et al.. (2015). Box-Cox Transformed Linear Mixed Models for Positive-Valued and Clustered Data. arXiv (Cornell University). 1 indexed citations

19.

Sugasawa, Shonosuke & Tatsuya Kubokawa. (2015). Parametric transformed Fay–Herriot model for small area estimation. Journal of Multivariate Analysis. 139. 295–311. 6 indexed citations

20.

Sugasawa, Shonosuke, et al.. (1959). Extension of the Bischler-Napieralski reaction—II. Tetrahedron. 5(1). 48–52. 9 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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