Tamara Broderick

35 papers and 538 indexed citations i.

About

Tamara Broderick is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Tamara Broderick has authored 35 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Tamara Broderick’s work include Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Inference (14 papers) and Gaussian Processes and Bayesian Inference (10 papers). Tamara Broderick is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Inference (14 papers) and Gaussian Processes and Bayesian Inference (10 papers). Tamara Broderick collaborates with scholars based in United States, Canada and Italy. Tamara Broderick's co-authors include Michael I. Jordan, Jim Pitman, Trevor Campbell, J. Brinkmann, Rachel Mandelbaum, Christopher M. Hirata, U. Seljak, Ashia Wilson, Andre Wibisono and Nicholas Boyd and has published in prestigious journals such as The Astrophysical Journal, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Tamara Broderick i

Fields of papers citing papers by Tamara Broderick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara Broderick. 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 Tamara Broderick. The network helps show where Tamara Broderick may publish in the future.

Countries citing papers authored by Tamara Broderick

Since Specialization
Citations

This map shows the geographic impact of Tamara Broderick'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 Tamara Broderick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Broderick 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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2025