Ben Goodrich

About

Ben Goodrich is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Ben Goodrich has authored 21 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. Recurrent topics in Ben Goodrich’s work include Statistical Methods and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Multimodal Machine Learning Applications (2 papers). Ben Goodrich is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Multimodal Machine Learning Applications (2 papers). Ben Goodrich collaborates with scholars based in United States, Finland and Canada. Ben Goodrich's co-authors include Andrew Gelman, Daniel C. Lee, Matthew D. Hoffman, Allen Riddell, Marcus A. Brubaker, Peter Li, Michael Betancourt, Jiqiang Guo, 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

Co-authorship network of co-authors of Ben Goodrich i

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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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