Tamara Broderick
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Bayesian Methods and Mixture Models 14
- Gaussian Processes and Bayesian Inference 13
- Machine Learning and Algorithms 3
- Explainable Artificial Intelligence (XAI) 3
-
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 4
- Co-authors
- Michael I. Jordan (12 shared papers)Jim Pitman (3 shared papers)Trevor Campbell (7 shared papers)J. Brinkmann (1 shared paper)Christopher M. Hirata (1 shared paper)Rachel Mandelbaum (1 shared paper)U. Seljak (1 shared paper)Ashia Wilson (1 shared paper)
- Journals
- Bayesian Analysis (4 papers)The Astrophysical Journal (2 papers)Journal of Machine Learning Research (2 papers)Statistical Science (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tamara Broderick
35 papers receiving 478 citations
Peers
Comparison fields: 5 of 72
- Instrumentation 52
- Statistics and Probability 119
- Artificial Intelligence 279
- Astronomy and Astrophysics 116
- Statistical and Nonlinear Physics 33
Countries citing papers authored by Tamara Broderick
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).
Fields of papers citing papers by Tamara Broderick
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.
Co-authors
The 25 scholars most cited alongside Tamara Broderick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 80 | |
| 2 | 2013 | 65 | |
| 3 | 2012 | 41 | |
| 4 | 2013 | 33 | |
| 5 | 2004 | 29 | |
| 6 | 2013 | 29 | |
| 7 | 2012 | 28 | |
| 8 | 2014 | 27 | |
| 9 | Automated Scalable Bayesian Inference via Hilbert Coresets | 2019 | 22 |
| 10 | 2009 | 16 | |
| 11 | 2013 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2013 | 12 | |
| 15 | Coresets for Scalable Bayesian Logistic Regression | 2016 | 11 |
| 16 | 2012 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 2018 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2011 | 5 |
About Tamara Broderick
Tamara Broderick is a scholar working on Artificial Intelligence, Statistics and Probability, Occupational Therapy, Computational Theory and Mathematics and Molecular Biology, having authored 37 papers that have together received 509 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (14 papers), Statistical Methods and Inference (13 papers), Gaussian Processes and Bayesian Inference (13 papers), Statistical Methods and Bayesian Inference (4 papers), Assistive Technology in Communication and Mobility (4 papers), Gaze Tracking and Assistive Technology (3 papers), Machine Learning and Algorithms (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Instrumentation (52 citations), Statistics and Probability (119 citations), Artificial Intelligence (279 citations), Astronomy and Astrophysics (116 citations) and Statistical and Nonlinear Physics (33 citations). Tamara Broderick has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael I. Jordan, Jim Pitman, Trevor Campbell, J. Brinkmann, Christopher M. Hirata, Rachel Mandelbaum, U. Seljak, Ashia Wilson, Nicholas Boyd and Andre Wibisono. Their work appears in journals such as Bayesian Analysis, The Astrophysical Journal, Journal of Machine Learning Research, Statistical Science and Journal of the American Statistical Association.
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.