Ben Goodrich

10.9k total citations · 3 hit papers
26 papers, 5.7k citations indexed

About

Ben Goodrich is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ben Goodrich has authored 26 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ben Goodrich's work include Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers) and Bayesian Modeling and Causal Inference (2 papers). Ben Goodrich is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers) and Bayesian Modeling and Causal Inference (2 papers). Ben Goodrich collaborates with scholars based in United States, Canada and Finland. Ben Goodrich's co-authors include Andrew Gelman, Marcus A. Brubaker, Peter Li, Jiqiang Guo, Daniel C. Lee, Matthew D. Hoffman, Michael Betancourt, Allen Riddell, Bob Carpenter and Jonah Gabry and has published in prestigious journals such as Anesthesia & Analgesia, Journal of Statistical Software and International Organization.

In The Last Decade

Ben Goodrich

24 papers receiving 5.6k 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.

Stan: A Probabilistic Programming Language

2017 4.3k citations Bob Carpenter, Andrew Gelman et al. Journal of Statistical Software profile →
R-squared for Bayesian Regression Models

2018 563 citations Andrew Gelman, Ben Goodrich et al. The American Statistician profile →
Stan: A Probabilistic Programming Language

2017 496 citations Bob Carpenter, Andrew Gelman et al. Journal of Systems and Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Goodrich United States	12	814	747	672	662	525	26	5.7k
Michael Betancourt United States	11	855 1.1×	927 1.2×	677 1.0×	723 1.1×	519 1.0×	24	6.1k
Jiqiang Guo United States	9	705 0.9×	787 1.1×	551 0.8×	649 1.0×	441 0.8×	13	5.2k
Daniel C. Lee Canada	11	710 0.9×	684 0.9×	517 0.8×	612 0.9×	410 0.8×	58	5.3k
Allen Riddell United States	9	728 0.9×	684 0.9×	517 0.8×	618 0.9×	410 0.8×	22	4.9k
Bob Carpenter United States	14	1.2k 1.5×	694 0.9×	519 0.8×	632 1.0×	410 0.8×	28	5.7k
Jonah Gabry United States	12	423 0.5×	445 0.6×	867 1.3×	507 0.8×	599 1.1×	16	4.7k
Paul McCullagh United Kingdom	31	657 0.8×	723 1.0×	697 1.0×	413 0.6×	620 1.2×	181	6.4k
Matthew D. Hoffman United States	17	2.6k 3.2×	873 1.2×	527 0.8×	688 1.0×	413 0.8×	54	7.9k
Peter Li United States	49	1.0k 1.3×	708 0.9×	554 0.8×	657 1.0×	412 0.8×	149	13.1k
Joseph M. Hilbe United States	27	580 0.7×	756 1.0×	720 1.1×	217 0.3×	426 0.8×	95	8.6k

Countries citing papers authored by Ben Goodrich

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ben Goodrich

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Goodrich. A scholar is included among the top collaborators of Ben Goodrich 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 Ben Goodrich. Ben Goodrich 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.

Goodrich, Ben, et al.. (2025). Visualizing distributions of covariance matrices. Lirias (KU Leuven). 5(7).

2.

Goodrich, Ben, et al.. (2024). The Piranha Problem: Large Effects Swimming in a Small Pond. Notices of the American Mathematical Society. 72(1). 1–1. 1 indexed citations

3.

Merkle, Edgar C., et al.. (2021). Efficient Bayesian Structural Equation Modeling in Stan. Journal of Statistical Software. 100(6). 43 indexed citations

4.

Gabry, Jonah & Ben Goodrich. (2020). Bayesian Applied Regression Modeling via Stan [R package rstanarm version 2.21.1]. 65 indexed citations

5.

Byrne, Bill, Chinnadhurai Sankar, Arvind Neelakantan, et al.. (2019). Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. 4515–4524. 92 indexed citations

6.

Tamar, Aviv, et al.. (2018). Imitation Learning from Visual Data with Multiple Intentions. International Conference on Learning Representations. 2 indexed citations

7.

Gelman, Andrew, Ben Goodrich, Jonah Gabry, & Aki Vehtari. (2018). R-squared for Bayesian Regression Models. The American Statistician. 73(3). 307–309. 563 indexed citations breakdown →

8.

Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Systems and Software. 76(1). 1–32. 496 indexed citations breakdown →

9.

Andreae, Michael H., Singh Nair, Jonah Gabry, et al.. (2017). A pragmatic trial to improve adherence with scheduled appointments in an inner-city pain clinic by human phone calls in the patient's preferred language. Journal of Clinical Anesthesia. 42. 77–83. 23 indexed citations

10.

Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Statistical Software. 76(1). 4257 indexed citations breakdown →

11.

Su, Yu‐Sung, et al.. (2015). Missing Data Imputation and Model Checking. 11 indexed citations

12.

Goodrich, Ben & Itamar Arel. (2014). Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. 997–1000. 12 indexed citations

13.

Kropko, Jonathan, Ben Goodrich, Andrew Gelman, & Jennifer Hill. (2014). Multiple Imputation for Continuous and Categorical Data: Comparing Joint Multivariate Normal and Conditional Approaches. Political Analysis. 22(4). 497–519. 55 indexed citations

14.

Goodrich, Ben & Itamar Arel. (2014). Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks. 62–68. 3 indexed citations

15.

Goodrich, Ben & Itamar Arel. (2012). Reinforcement learning based visual attention with application to face detection. 1. 19–24. 11 indexed citations

16.

Goodrich, Ben, David Albrecht, & Peter Tischer. (2010). Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric Bounds. Figshare. 11. 827–832. 1 indexed citations

17.

Goodrich, Ben. (2006). A Comment on ‘Rewarding Impatience’. International Organization. 60(2). 4 indexed citations

18.

Hufbauer, Gary Clyde & Ben Goodrich. (2003). More Pain, More Gain: Politics and Economics of Eliminating Tariffs. RePEc: Research Papers in Economics. 1 indexed citations

19.

Hufbauer, Gary Clyde & Ben Goodrich. (2003). Next Move in Steel: Revocation or Retaliation?. RePEc: Research Papers in Economics. 4 indexed citations

20.

Hufbauer, Gary Clyde & Ben Goodrich. (2002). Time for a Grand Bargain in Steel. RePEc: Research Papers in Economics. 6 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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