Lee H. Dicker

1.7k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Lee H. Dicker is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lee H. Dicker has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Lee H. Dicker's work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Lee H. Dicker is often cited by papers focused on Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Lee H. Dicker collaborates with scholars based in United States, Netherlands and United Kingdom. Lee H. Dicker's co-authors include Xihong Lin, Alexander R. Ivanov, Ling Yang, Oliver Hofmann, Gökhan S. Hotamışlıgil, Steven M. Watkins, Suneng Fu, Ping Li, Sihai Dave Zhao and Wei Wang and has published in prestigious journals such as Nature, Biometrika and Molecular Pharmacology.

In The Last Decade

Lee H. Dicker

24 papers receiving 1.2k 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.

Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity

2011 826 citations Suneng Fu, Ling Yang et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lee H. Dicker United States	12	486	396	374	199	176	24	1.2k
Tetsuro Urushidani Japan	29	1.6k 3.4×	280 0.7×	137 0.4×	158 0.8×	373 2.1×	90	2.7k
Lan Hong China	30	1.8k 3.7×	189 0.5×	461 1.2×	633 3.2×	859 4.9×	90	3.5k
Deli Zhang China	25	668 1.4×	178 0.4×	121 0.3×	65 0.3×	45 0.3×	110	1.7k
Paulo Matafome Portugal	30	684 1.4×	100 0.3×	407 1.1×	755 3.8×	210 1.2×	103	2.5k
Nady Roodi United States	18	1.8k 3.7×	45 0.1×	134 0.4×	99 0.5×	118 0.7×	20	3.2k
Annie Chiang United States	12	1.9k 4.0×	132 0.3×	83 0.2×	80 0.4×	70 0.4×	21	2.6k
Thomas Kelder Netherlands	18	1.6k 3.4×	95 0.2×	204 0.5×	290 1.5×	118 0.7×	30	2.3k
Gunnar Cedersund Sweden	20	686 1.4×	46 0.1×	174 0.5×	180 0.9×	191 1.1×	73	1.2k
Scott Dudek United States	24	979 2.0×	26 0.1×	68 0.2×	88 0.4×	65 0.4×	52	2.2k
Emilio Centeno Spain	7	2.3k 4.8×	77 0.2×	214 0.6×	206 1.0×	112 0.6×	10	3.6k

Countries citing papers authored by Lee H. Dicker

Since Specialization

Citations

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

Fields of papers citing papers by Lee H. Dicker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee H. Dicker. 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 Lee H. Dicker. The network helps show where Lee H. Dicker may publish in the future.

Co-authorship network of co-authors of Lee H. Dicker

This figure shows the co-authorship network connecting the top 25 collaborators of Lee H. Dicker. A scholar is included among the top collaborators of Lee H. Dicker 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 Lee H. Dicker. Lee H. Dicker 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

1.

Feng, Long & Lee H. Dicker. (2018). Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions. Computational Statistics & Data Analysis. 122. 80–91. 12 indexed citations

2.

D’Alonzo, Karen T., Barbara A. Smith, & Lee H. Dicker. (2017). Outcomes of a Culturally Tailored Partially Randomized Patient Preference Controlled Trial to Increase Physical Activity Among Low-Income Immigrant Latinas. Journal of Transcultural Nursing. 29(4). 335–345. 14 indexed citations

3.

Dicker, Lee H., Dean P. Foster, & Daniel Hsu. (2017). Kernel ridge vs. principal component regression: Minimax bounds and the qualification of regularization operators. Electronic Journal of Statistics. 11(1). 18 indexed citations

4.

Erdogdu, Murat A., Lee H. Dicker, & Mohsen Bayati. (2016). Scaled Least Squares Estimator for GLMs in Large-Scale Problems. Neural Information Processing Systems. 29. 3324–3332. 3 indexed citations

5.

Dicker, Lee H. & Murat A. Erdogdu. (2016). Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models. International Conference on Artificial Intelligence and Statistics. 159–167. 10 indexed citations

6.

Dicker, Lee H.. (2014). Sparsity and the Truncated $l^2$-norm. International Conference on Artificial Intelligence and Statistics. 33. 159–166. 1 indexed citations

7.

Dicker, Lee H.. (2014). Variance estimation in high-dimensional linear models. Biometrika. 101(2). 269–284. 42 indexed citations

8.

Sofer, Tamar, Lee H. Dicker, & Xihong Lin. (2013). Variable selection for high dimensional multivariate outcomes. Statistica Sinica. 24(4). 1633–1654. 15 indexed citations

9.

Dicker, Lee H.. (2013). Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance. Electronic Journal of Statistics. 7(none). 5 indexed citations

10.

Dicker, Lee H. & Dean P. Foster. (2013). One-shot learning and big data with n=2. 26. 270–278. 3 indexed citations

11.

Dicker, Lee H. & Xihong Lin. (2012). Parallelism, uniqueness, and large‐sample asymptotics for the Dantzig selector. Canadian Journal of Statistics. 41(1). 23–35. 8 indexed citations

12.

Li, Yi, Lee H. Dicker, & Sihai Dave Zhao. (2012). The dantzig selector for censored linear regression models. Statistica Sinica. 24(1). 251–2568. 18 indexed citations

13.

Dicker, Lee H., Tingni Sun, Cun‐Hui Zhang, D. Barry Keenan, & L. A. Shepp. (2012). Continuous blood glucose monitoring: A Bayes-hidden Markov approach. Statistica Sinica. 2 indexed citations

14.

Fu, Suneng, Ling Yang, Ping Li, et al.. (2011). Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity. Nature. 473(7348). 528–531. 826 indexed citations breakdown →

15.

Dicker, Lee H., et al.. (2011). Variable selection and estimation with the seamless-L0 penalty models. Statistica Sinica. 56 indexed citations

16.

Dicker, Lee H., Xihong Lin, & Alexander R. Ivanov. (2010). Increased Power for the Analysis of Label-free LC-MS/MS Proteomics Data by Combining Spectral Counts and Peptide Peak Attributes. Molecular & Cellular Proteomics. 9(12). 2704–2718. 40 indexed citations

17.

Dicker, Lee H. & Shane T. Jensen. (2008). Prior Distributions for Partitions in Bayesian Nonparametrics. arXiv (Cornell University). 2 indexed citations

18.

Wallach, Hanna, Shane T. Jensen, Lee H. Dicker, & Katherine Heller. (2008). An Alternative Prior Process for Nonparametric Bayesian Clustering. arXiv (Cornell University). 9. 892–899. 24 indexed citations

19.

Law, Ping‐Yee, Lee H. Dicker, Jonathan Solberg, et al.. (2000). Receptor Density and Recycling Affect the Rate of Agonist-Induced Desensitization of μ-Opioid Receptor. Molecular Pharmacology. 58(2). 388–398. 92 indexed citations

20.

Law, Ping‐Yee, Lee H. Dicker, Jonathan Solberg, et al.. (2000). Receptor Density and Recycling Affect the Rate of Agonist-Induced Desensitization of μ-Opioid Receptor. Molecular Pharmacology. 58(2). 388–398. 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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