J. S. Marron

18.7k total citations · 4 hit papers
176 papers, 12.6k citations indexed

About

J. S. Marron is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. S. Marron has authored 176 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Statistics and Probability, 54 papers in Artificial Intelligence and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. S. Marron's work include Statistical Methods and Inference (64 papers), Advanced Statistical Methods and Models (29 papers) and Bayesian Methods and Mixture Models (28 papers). J. S. Marron is often cited by papers focused on Statistical Methods and Inference (64 papers), Advanced Statistical Methods and Models (29 papers) and Bayesian Methods and Mixture Models (28 papers). J. S. Marron collaborates with scholars based in United States, Australia and Germany. J. S. Marron's co-authors include Simon J. Sheather, M. C. Jones, Wolfgang Karl Härdle, Peter Hall, M. P. Wand, Bernard W. Silverman, Alan F. Karr, Todd Graves, Peter A. Hall and Jianqing Fan and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

J. S. Marron

170 papers receiving 11.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Functional Data Analysis

1998 1.1k citations J. S. Marron et al. Journal of the American Statistical Association profile →
A Brief Survey of Bandwidth Selection for Density Estimation

1996 891 citations J. S. Marron, Simon J. Sheather et al. Journal of the American Statistical Association profile →
Predicting fault incidence using software change history

2000 572 citations J. S. Marron et al. profile →
Exact Mean Integrated Squared Error

1992 538 citations J. S. Marron, M. P. Wand profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. S. Marron United States	57	5.3k	3.6k	1.4k	1.3k	1.2k	176	12.6k
James O. Berger United States	61	10.1k 1.9×	5.8k 1.6×	536 0.4×	754 0.6×	820 0.7×	192	21.2k
Luc Devroye Canada	43	4.2k 0.8×	5.2k 1.5×	1.4k 1.0×	934 0.7×	552 0.4×	272	12.0k
Steffen L. Lauritzen Denmark	36	2.1k 0.4×	6.7k 1.9×	462 0.3×	501 0.4×	1.1k 0.9×	104	10.8k
Sheldon M. Ross United States	39	1.8k 0.3×	1.6k 0.4×	325 0.2×	658 0.5×	387 0.3×	212	13.0k
A. P. Dawid United Kingdom	43	3.5k 0.7×	4.7k 1.3×	457 0.3×	308 0.2×	630 0.5×	177	10.8k
Arthur E. Hoerl United States	15	4.9k 0.9×	2.6k 0.7×	1.2k 0.9×	1.2k 0.9×	1.2k 0.9×	21	15.3k
Radford M. Neal Canada	31	2.5k 0.5×	8.3k 2.3×	3.5k 2.6×	902 0.7×	1.5k 1.2×	55	19.8k
S. Kullback United States	26	2.4k 0.5×	5.1k 1.4×	1.9k 1.4×	956 0.8×	1.4k 1.1×	59	16.7k
Emanuel Parzen United States	40	3.2k 0.6×	3.7k 1.0×	1.6k 1.2×	1.7k 1.4×	562 0.5×	114	15.8k
A. P. Dempster United States	24	2.6k 0.5×	4.1k 1.1×	899 0.7×	684 0.5×	482 0.4×	67	10.9k

Countries citing papers authored by J. S. Marron

Since Specialization

Citations

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

Fields of papers citing papers by J. S. Marron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Marron. 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 J. S. Marron. The network helps show where J. S. Marron may publish in the future.

Co-authorship network of co-authors of J. S. Marron

This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Marron. A scholar is included among the top collaborators of J. S. Marron 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 J. S. Marron. J. S. Marron 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

Walker, A., Xiaohua Gao, Gabriela De la Cruz, et al.. (2025). Prognostic significance of CD8+ T cell Spatial Biomarkers in ER+ and ER− breast cancer: A retrospective cohort study. PLoS Medicine. 22(10). e1004647–e1004647.

Cui, Yi, et al.. (2024). Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images—Nevus and Melanoma. Cancers. 16(15). 2616–2616.

Li, Yao, Benjamin C. Calhoun, Charles M. Perou, et al.. (2024). Visual Intratumor Heterogeneity and Breast Tumor Progression. Cancers. 16(13). 2294–2294. 1 indexed citations

Damon, James, et al.. (2023). Geometric and Statistical Models for Analysis of Two-Object Complexes. International Journal of Computer Vision. 131(8). 1877–1891. 1 indexed citations

Shi, Yifeng, Katherine A. Hoadley, Benjamin C. Calhoun, et al.. (2023). Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study. npj Breast Cancer. 9(1). 92–92. 9 indexed citations

Schulz, Jörn, et al.. (2022). Analysis of Joint Shape Variation from Multi-Object Complexes. Journal of Mathematical Imaging and Vision. 65(3). 542–562. 2 indexed citations

Jo, Heejoon, Xiaobei Zhao, Katherine A. Hoadley, et al.. (2021). SCISSOR: a framework for identifying structural changes in RNA transcripts. Nature Communications. 12(1). 286–286. 6 indexed citations

Risk, Benjamin B., et al.. (2017). JIVE integration of imaging and behavioral data. NeuroImage. 152. 38–49. 22 indexed citations

Shen, Dan, Haipeng Shen, & J. S. Marron. (2016). A general framework for consistency of principal component analysis. Journal of Machine Learning Research. 17(150). 5218–5251. 11 indexed citations

10.

Srivastava, Anuj, Wei Wu, Sebastian Kurtek, Eric Klassen, & J. S. Marron. (2011). Statistical Analysis and Modeling of Elastic Functions. arXiv (Cornell University). 13 indexed citations

11.

Styner, Martin, J. S. Marron, Joseph Piven, et al.. (2009). Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(4). 652–661. 42 indexed citations

12.

Yang, Lijian & J. S. Marron. (1999). Iterated Transformation–Kernel Density Estimation. Journal of the American Statistical Association. 94(446). 580–589. 25 indexed citations

13.

Godtliebsen, Fred, et al.. (1997). A nonlinear gaussian filter applied to images with discontinuities. Journal of nonparametric statistics. 8(1). 21–43. 31 indexed citations

14.

Marron, J. S., et al.. (1996). Progress in data-based bandwidth selection for kernel density estimation. Computational Statistics. 11(3). 337–381. 116 indexed citations

15.

Janssen, Paul, J. S. Marron, Noël Veraverbeke, & Warren S. Sarle. (1995). Scale measures for bandwidth selection. Journal of nonparametric statistics. 5(4). 359–380. 30 indexed citations

16.

Marron, J. S.. (1993). Assessing bandwidth selectors with visual error criteria. Computational Statistics. 13(4). 511–527. 4 indexed citations

17.

Härdle, Wolfgang Karl, Jeffrey D. Hart, J. S. Marron, & A. B. Tsybakov. (1992). Bandwidth Choice for Average Derivative Estimation. Journal of the American Statistical Association. 87(417). 218–226. 54 indexed citations

18.

Wand, M. P., J. S. Marron, & David Ruppert. (1991). Transformations in Density Estimation. Journal of the American Statistical Association. 86(414). 343–353. 192 indexed citations

19.

Härdle, Wolfgang Karl, Peter Hall, & J. S. Marron. (1988). How Far are Automatically Chosen Regression Smoothing Parameters from their Optimum?. Journal of the American Statistical Association. 83(401). 86–95. 275 indexed citations

20.

Marron, J. S.. (1986). Convergence properties of an empirical error criterion for multivariate density estimation. Journal of Multivariate Analysis. 19(1). 1–13. 11 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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