Ben Goodrich

15 papers and 5.2k indexed citations i.

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 15 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ben Goodrich’s work include Statistical Methods and Bayesian Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Global trade and economics (2 papers). Ben Goodrich is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Global trade and economics (2 papers). Ben Goodrich collaborates with scholars based in United States, Finland and Japan. Ben Goodrich's co-authors include Andrew Gelman, Peter Li, Bob Carpenter, Michael Betancourt, Allen Riddell, Jiqiang Guo, Matthew D. Hoffman, Marcus A. Brubaker, Daniel C. Lee and Jonah Gabry and has published in prestigious journals such as Anesthesia & Analgesia, Journal of Statistical Software and International Organization.

In The Last Decade

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.

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.

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).

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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2026