Ben Goodrich
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- General Decision Sciences top 2%
Papers in
-
- Domain Adaptation and Few-Shot Learning 2
- Bayesian Modeling and Causal Inference 2
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 4
- Advanced Causal Inference Techniques 2
- Co-authors
- Andrew Gelman (6 shared papers)Bob Carpenter (2 shared papers)Matthew D. Hoffman (2 shared papers)Allen Riddell (2 shared papers)Jiqiang Guo (2 shared papers)Peter Li (2 shared papers)Marcus A. Brubaker (2 shared papers)Michael Betancourt (2 shared papers)
- Journals
- Journal of Statistical Software (2 papers)Journal of Clinical Anesthesia (1 paper)International Organization (1 paper)Political Analysis (1 paper)The American Statistician (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Ben Goodrich
24 papers receiving 5.8k citations
Ben Goodrich's Hit Papers
Peers
Comparison fields: 5 of 221
- Statistics and Probability 731
- General Decision Sciences 123
- Ecological Modeling 230
- Nature and Landscape Conservation 530
- Experimental and Cognitive Psychology 452
Countries citing papers authored by Ben Goodrich
This map shows the geographic impact of Ben Goodrich'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 Goodrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Goodrich more than expected).
Fields of papers citing papers by Ben Goodrich
This network shows the impact of papers produced by Ben Goodrich. 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 Goodrich. The network helps show where Ben Goodrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Goodrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stan : A Probabilistic Programming Language Hit paper breakdown → | 2017 | 4417 |
| 2 | R-squared for Bayesian Regression Models Hit paper breakdown → | 2018 | 590 |
| 3 | Stan: A Probabilistic Programming Language Hit paper breakdown → | 2017 | 500 |
| 4 | 2019 | 94 | |
| 5 | Bayesian Applied Regression Modeling via Stan [R package rstanarm version 2.21.1] | 2020 | 65 |
| 6 | 2014 | 56 | |
| 7 | 2021 | 50 | |
| 8 | 2017 | 49 | |
| 9 | 2017 | 23 | |
| 10 | 2014 | 12 | |
| 11 | 2012 | 11 | |
| 12 | Missing Data Imputation and Model Checking | 2015 | 11 |
| 13 | Time for a Grand Bargain in Steel | 2002 | 6 |
| 14 | Problems with and Solutions for Two-Dimensional Models of Continuous Dependent Variables | 2005 | 6 |
| 15 | Multiple Imputation for Continuous and Categorical Data: Comparing Joint and Conditional Approaches | 2013 | 5 |
| 16 | Next Move in Steel: Revocation or Retaliation? | 2003 | 4 |
| 17 | 2006 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 2 |
About Ben Goodrich
Ben Goodrich is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Economics and Econometrics and Political Science and International Relations, having authored 26 papers that have together received 5.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (2 papers), Global trade and economics (2 papers), Blind Source Separation Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Statistics and Probability (731 citations), General Decision Sciences (123 citations), Ecological Modeling (230 citations), Nature and Landscape Conservation (530 citations) and Experimental and Cognitive Psychology (452 citations). Ben Goodrich has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Andrew Gelman, Bob Carpenter, Matthew D. Hoffman, Allen Riddell, Jiqiang Guo, Peter Li, Marcus A. Brubaker, Michael Betancourt, Daniel C. Lee and Jonah Gabry. Their work appears in journals such as Journal of Statistical Software, Journal of Clinical Anesthesia, International Organization, Political Analysis and The American Statistician.
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.