Tamara Broderick
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
- AI in cancer detection
Papers in
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- Bayesian Methods and Mixture Models 12
- Gaussian Processes and Bayesian Inference 2
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- Markov Chains and Monte Carlo Methods 3
- Advanced Statistical Methods and Models 2
- Probability and Statistical Research 2
- Co-authors
- Michael I. Jordan (8 shared papers)Jim Pitman (3 shared papers)Jonathan V. Brinkmann (1 shared paper)Rachel Mandelbaum (1 shared paper)Uroš Seljak (1 shared paper)Christopher M. Hirata (1 shared paper)Trevor Campbell (5 shared papers)MATTHEW P. WAND (1 shared paper)
- Journals
- Bayesian Analysis (4 papers)Bernoulli (3 papers)The Astrophysical Journal (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Tamara Broderick
30 papers receiving 792 citations
Tamara Broderick's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 86
- Artificial Intelligence 279
- Astronomy and Astrophysics 160
- Statistics and Probability 63
- Information Systems and Management 44
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transparency and reproducibility in artificial intelligence Hit paper breakdown → | 2020 | 358 |
| 2 | 2006 | 113 | |
| 3 | 2012 | 48 | |
| 4 | 2004 | 36 | |
| 5 | 2013 | 35 | |
| 6 | 2013 | 30 | |
| 7 | 2014 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2009 | 17 | |
| 10 | 2012 | 16 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2010 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2011 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 7 | |
| 19 | Edge-exchangeable graphs and sparsity | 2017 | 6 |
| 20 | 2022 | 6 |
About Tamara Broderick
Tamara Broderick is a scholar working on Artificial Intelligence, Statistics and Probability, Occupational Therapy, Human-Computer Interaction and Astronomy and Astrophysics, having authored 32 papers that have together received 819 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (12 papers), Assistive Technology in Communication and Mobility (4 papers), Gaze Tracking and Assistive Technology (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Advanced Statistical Methods and Models (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Probability and Statistical Research (2 papers) and Cosmology and Gravitation Theories (2 papers). The work is most often cited by research in Health Informatics (86 citations), Artificial Intelligence (279 citations), Astronomy and Astrophysics (160 citations), Statistics and Probability (63 citations) and Information Systems and Management (44 citations). Tamara Broderick has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael I. Jordan, Jim Pitman, Jonathan V. Brinkmann, Rachel Mandelbaum, Uroš Seljak, Christopher M. Hirata, Trevor Campbell, MATTHEW P. WAND, Dragan Huterer A and Lawrence M. Krauss. Their work appears in journals such as Bayesian Analysis, Bernoulli, The Astrophysical Journal, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Monthly Notices of the Royal Astronomical Society.
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.