Ben Sherwood

629 total citations
19 papers, 334 citations indexed

About

Ben Sherwood is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ben Sherwood has authored 19 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Ben Sherwood's work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (10 papers) and Statistical Methods and Bayesian Inference (6 papers). Ben Sherwood is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (10 papers) and Statistical Methods and Bayesian Inference (6 papers). Ben Sherwood collaborates with scholars based in United States, China and Taiwan. Ben Sherwood's co-authors include Lan Wang, Xiao‐Hua Zhou, Rui Song, Yu Zhou, Lan Wang, Hongkai Ji, Weiqiang Zhou, Jiawei Bai, Mingyao Ying and Lan Wang and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Statistics in Medicine.

In The Last Decade

Ben Sherwood

17 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Sherwood United States	7	152	80	50	49	29	19	334
Jane Xu United Kingdom	8	215 1.4×	86 1.1×	14 0.3×	49 1.0×	14 0.5×	12	387
Salvatore D. Tomarchio Italy	10	79 0.5×	15 0.2×	24 0.5×	112 2.3×	3 0.1×	46	254
Nikolay Robinzonov Germany	5	63 0.4×	94 1.2×	24 0.5×	48 1.0×	5 0.2×	8	324
Angelo Mazza Italy	10	91 0.6×	52 0.7×	4 0.1×	92 1.9×	3 0.1×	26	281
Chirok Han South Korea	12	113 0.7×	338 4.2×	5 0.1×	14 0.3×	20 0.7×	39	557
Samuel W. Woolford United States	7	113 0.7×	193 2.4×	5 0.1×	12 0.2×	7 0.2×	15	439
Xingwei Tong China	17	604 4.0×	141 1.8×	51 1.0×	129 2.6×	1 0.0×	68	760
Damian Kozbur Switzerland	4	53 0.3×	71 0.9×	10 0.2×	11 0.2×	5 0.2×	10	185
Bruno Bertaccini Italy	11	30 0.2×	7 0.1×	34 0.7×	9 0.2×	27 0.9×	34	402
Jiaying Gu Canada	8	71 0.5×	80 1.0×	4 0.1×	46 0.9×	5 0.2×	22	184

Countries citing papers authored by Ben Sherwood

Since Specialization

Citations

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

Fields of papers citing papers by Ben Sherwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Sherwood

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

All Works

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19 of 19 papers shown

Sherwood, Ben, et al.. (2024). A naïve Bayes regularized logistic regression estimator for low-dimensional classification. International Journal of Approximate Reasoning. 172. 109239–109239. 1 indexed citations

Shenoy, Prakash P., et al.. (2023). Bayesian Network Models for PTSD Screening in Veterans. INFORMS journal on computing. 36(2). 495–509.

Sherwood, Ben, et al.. (2023). Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data. The Annals of Applied Statistics. 17(1). 2 indexed citations

Wang, Lan, et al.. (2023). Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline. Statistics in Medicine. 42(16). 2729–2745. 1 indexed citations

Sherwood, Ben & Bradley S. Price. (2023). On the Use of Minimum Penalties in Statistical Learning. Journal of Computational and Graphical Statistics. 33(1). 138–151. 1 indexed citations

Sherwood, Ben & Shaobo Li. (2022). Quantile regression feature selection and estimation with grouped variables using Huber approximation. Statistics and Computing. 32(5). 2 indexed citations

Price, Bradley S., et al.. (2021). Estimating Multiple Precision Matrices With Cluster Fusion Regularization. Journal of Computational and Graphical Statistics. 30(4). 823–834. 5 indexed citations

Price, Bradley S., et al.. (2021). Detecting clusters in multivariate response regression. Wiley Interdisciplinary Reviews Computational Statistics. 14(3). 3 indexed citations

Sherwood, Ben, et al.. (2019). Asymptotic properties of concave L1-norm group penalties. Statistics & Probability Letters. 157. 108631–108631.

10.

Zhou, Weiqiang, Ben Sherwood, Zhicheng Ji, et al.. (2017). Genome-wide prediction of DNase I hypersensitivity using gene expression. Nature Communications. 8(1). 1038–1038. 36 indexed citations

11.

Price, Bradley S. & Ben Sherwood. (2017). A Cluster Elastic Net for Multivariate Regression. Journal of Machine Learning Research. 18(232). 1–39. 4 indexed citations

12.

Wang, Lan, Yu Zhou, Rui Song, & Ben Sherwood. (2017). Quantile-Optimal Treatment Regimes. Journal of the American Statistical Association. 113(523). 1243–1254. 42 indexed citations

13.

Hong, Xiumei, Ben Sherwood, Christine Ladd‐Acosta, et al.. (2017). Genome-wide DNA methylation associations with spontaneous preterm birth in US blacks: findings in maternal and cord blood samples. Epigenetics. 13(2). 163–172. 35 indexed citations

14.

Sherwood, Ben. (2016). Variable selection for additive partial linear quantile regression with missing covariates. Journal of Multivariate Analysis. 152. 206–223. 17 indexed citations

15.

Zhou, Weiqiang, Ben Sherwood, & Hongkai Ji. (2016). Computational Prediction of the Global Functional Genomic Landscape: Applications, Methods, and Challenges. Human Heredity. 81(2). 88–105. 3 indexed citations

16.

Sherwood, Ben & Lan Wang. (2015). Partially linear additive quantile regression in ultra-high dimension. The Annals of Statistics. 44(1). 107 indexed citations

17.

Sherwood, Ben, Xiao‐Hua Zhou, Sandra Weıntraub, & Lan Wang. (2015). Using quantile regression to create baseline norms for neuropsychological tests. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 2(1). 12–18. 21 indexed citations

18.

Wang, Lan, Ben Sherwood, & Runze Li. (2014). Comment. Journal of the American Statistical Association. 109(507). 1007–1010. 1 indexed citations

19.

Sherwood, Ben, Lan Wang, & Xiao‐Hua Zhou. (2013). Weighted quantile regression for analyzing health care cost data with missing covariates. Statistics in Medicine. 32(28). 4967–4979. 53 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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