Matthew A. Taddy

13 papers and 444 indexed citations i.

About

Matthew A. Taddy is a scholar working on Artificial Intelligence, Statistics and Probability and Ecology. According to data from OpenAlex, Matthew A. Taddy has authored 13 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Ecology. Recurrent topics in Matthew A. Taddy’s work include Bayesian Methods and Mixture Models (5 papers), Gaussian Processes and Bayesian Inference (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Matthew A. Taddy is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Gaussian Processes and Bayesian Inference (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Matthew A. Taddy collaborates with scholars based in United States and United Kingdom. Matthew A. Taddy's co-authors include Robert B. Gramacy, Athanasios Kottas, Nicholas G. Polson, Herbert K. H. Lee, Genetha A. Gray, Joshua Griffin, B. D. Ganapol, Roberto Furfaro, Robin D. Morris and Bruno Sansó and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Matthew A. Taddy i

Fields of papers citing papers by Matthew A. Taddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Taddy. 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 Matthew A. Taddy. The network helps show where Matthew A. Taddy may publish in the future.

Countries citing papers authored by Matthew A. Taddy

Since Specialization
Citations

This map shows the geographic impact of Matthew A. Taddy'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 Matthew A. Taddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Taddy 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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