Vincent Dorie

1.2k total citations · 1 hit paper
13 papers, 683 citations indexed

About

Vincent Dorie is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Vincent Dorie has authored 13 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Economics and Econometrics. Recurrent topics in Vincent Dorie's work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (3 papers). Vincent Dorie is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (3 papers). Vincent Dorie collaborates with scholars based in United States, Israel and South Korea. Vincent Dorie's co-authors include Andrew Gelman, Yeojin Chung, Jingchen Liu, Sophia Rabe‐Hesketh, Jennifer Hill, Marc Scott, Uri Shalit, Nicole Bohme Carnegie, Masataka Harada and Dimitris Anastassiou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Statistics in Medicine and Psychometrika.

In The Last Decade

Vincent Dorie

12 papers receiving 661 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.

A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models

2013 376 citations Yeojin Chung, Sophia Rabe‐Hesketh et al. Psychometrika profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent Dorie United States	7	216	93	90	74	69	13	683
S. Paul Wright United States	9	225 1.0×	103 1.1×	48 0.5×	42 0.6×	152 2.2×	22	1.8k
Solomon W. Harrar United States	16	289 1.3×	62 0.7×	84 0.9×	34 0.5×	23 0.3×	52	907
Yihui Xie China	10	77 0.4×	81 0.9×	161 1.8×	39 0.5×	31 0.4×	25	897
Kalyan Das India	8	161 0.7×	48 0.5×	46 0.5×	42 0.6×	35 0.5×	39	532
Lawrence J. Brunner Canada	12	134 0.6×	50 0.5×	113 1.3×	53 0.7×	36 0.5×	16	840
D. Zhang United States	6	146 0.7×	64 0.7×	51 0.6×	56 0.8×	23 0.3×	9	522
Paul Millar United Kingdom	15	52 0.2×	116 1.2×	68 0.8×	35 0.5×	60 0.9×	68	1.6k
Paul Roback United States	11	124 0.6×	66 0.7×	61 0.7×	37 0.5×	37 0.5×	21	763
Eric A. Vance United States	14	105 0.5×	98 1.1×	69 0.8×	20 0.3×	60 0.9×	58	812
Jeroen Pannekoek Netherlands	10	203 0.9×	118 1.3×	228 2.5×	54 0.7×	40 0.6×	25	772

Countries citing papers authored by Vincent Dorie

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Dorie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Dorie

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Dorie. A scholar is included among the top collaborators of Vincent Dorie 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 Vincent Dorie. Vincent Dorie 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:

13 of 13 papers shown

1.

Linos, Elizabeth, et al.. (2025). Interventions to bolster benefits take-up: Assessing intensity, framing, and targeting of government outreach. Proceedings of the National Academy of Sciences. 122(37). e2504747122–e2504747122.

2.

Dorie, Vincent, et al.. (2022). Stan and BART for Causal Inference: Estimating Heterogeneous Treatment Effects Using the Power of Stan and the Flexibility of Machine Learning. Entropy. 24(12). 1782–1782. 4 indexed citations

3.

Dorie, Vincent. (2021). Bayesian Linear Mixed-Effects Models [R package blme version 1.0-5]. 1 indexed citations

4.

Dorie, Vincent & Jennifer Hill. (2020). Causal Inference using Bayesian Additive Regression Trees [R package bartCause version 1.0-4]. 2 indexed citations

5.

Yang, Tai-Hsien Ou, et al.. (2019). Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders. Translational Psychiatry. 9(1). 32–32. 8 indexed citations

6.

Carnegie, Nicole Bohme, et al.. (2019). Examining treatment effect heterogeneity using BART. 5(2). 52–70. 7 indexed citations

7.

Dorie, Vincent, et al.. (2019). Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition. Statistical Science. 34(1). 129 indexed citations

8.

Dorie, Vincent, Jennifer Hill, Uri Shalit, Marc Scott, & Daniel Cervone. (2018). Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition.. Grantee Submission. 6 indexed citations

9.

Dorie, Vincent, Masataka Harada, Nicole Bohme Carnegie, & Jennifer Hill. (2016). A flexible, interpretable framework for assessing sensitivity to unmeasured confounding. Statistics in Medicine. 35(20). 3453–3470. 55 indexed citations

10.

Chung, Yeojin, Andrew Gelman, Sophia Rabe‐Hesketh, Jingchen Liu, & Vincent Dorie. (2015). Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models. Journal of Educational and Behavioral Statistics. 40(2). 136–157. 85 indexed citations

11.

Dorie, Vincent. (2014). Mixed Methods for Mixed Models. Columbia Academic Commons (Columbia University). 3 indexed citations

12.

Chung, Yeojin, Sophia Rabe‐Hesketh, Vincent Dorie, Andrew Gelman, & Jingchen Liu. (2013). A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models. Psychometrika. 78(4). 685–709. 376 indexed citations breakdown →

13.

Chung, Yeojin, Sophia Rabe‐Hesketh, Andrew Gelman, Jingchen Liu, & Vincent Dorie. (2012). Avoiding Boundary Estimates in Linear Mixed Models Through Weakly Informative Priors. Collection of Biostatistics Research Archive. 7 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.

Explore authors with similar magnitude of impact