Vincent Dorie
Impact in
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
Papers in
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- Statistical Methods and Bayesian Inference 6
- Advanced Causal Inference Techniques 4
- Statistical Methods and Inference 4
- Statistical Methods in Clinical Trials 1
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- Bayesian Modeling and Causal Inference 2
- Co-authors
- Andrew Gelman (3 shared papers)Jingchen Liu (3 shared papers)Yeojin Chung (3 shared papers)Sophia Rabe‐Hesketh (3 shared papers)Jennifer Hill (6 shared papers)Uri Shalit (2 shared papers)Marc Scott (2 shared papers)Nicole Bohme Carnegie (2 shared papers)
- Journals
- Journal of Educational and Behavioral Statistics (1 paper)Translational Psychiatry (1 paper)Statistical Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Vincent Dorie
14 papers receiving 706 citations
Vincent Dorie's Hit Papers
Peers
Comparison fields: 5 of 140
- Statistics and Probability 228
- General Decision Sciences 13
- Developmental Biology 13
- Nature and Landscape Conservation 68
- Ecological Modeling 21
Countries citing papers authored by Vincent Dorie
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
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-authors
The 15 scholars most cited alongside Vincent Dorie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models Hit paper breakdown → | 2013 | 402 |
| 2 | 2019 | 143 | |
| 3 | 2015 | 87 | |
| 4 | 2016 | 58 | |
| 5 | 2019 | 10 | |
| 6 | Avoiding Boundary Estimates in Linear Mixed Models Through Weakly Informative Priors | 2012 | 8 |
| 7 | 2019 | 8 | |
| 8 | Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition. | 2018 | 6 |
| 9 | 2022 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2014 | 3 | |
| 12 | Causal Inference using Bayesian Additive Regression Trees [R package bartCause version 1.0-4] | 2020 | 2 |
| 13 | 2025 | 1 | |
| 14 | Bayesian Linear Mixed-Effects Models [R package blme version 1.0-5] | 2021 | 1 |
About Vincent Dorie
Vincent Dorie is a scholar working on Statistics and Probability, Artificial Intelligence, Economics and Econometrics, Molecular Biology and General Health Professions, having authored 14 papers that have together received 738 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Advanced Causal Inference Techniques (4 papers), Statistical Methods and Inference (4 papers), Bayesian Modeling and Causal Inference (2 papers), Epigenetics and DNA Methylation (1 paper), Gender, Labor, and Family Dynamics (1 paper), Soil Geostatistics and Mapping (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Statistics and Probability (228 citations), General Decision Sciences (13 citations), Developmental Biology (13 citations), Nature and Landscape Conservation (68 citations) and Ecological Modeling (21 citations). Vincent Dorie has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Andrew Gelman, Jingchen Liu, Yeojin Chung, Sophia Rabe‐Hesketh, Jennifer Hill, Uri Shalit, Marc Scott, Nicole Bohme Carnegie, Masataka Harada and Tai-Hsien Ou Yang. Their work appears in journals such as Journal of Educational and Behavioral Statistics, Translational Psychiatry, Statistical Science, Proceedings of the National Academy of Sciences and Statistics in Medicine.
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.