Benjamin Letham
Impact in
- Health Informatics top 5%
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
-
- Imbalanced Data Classification Techniques 4
- Machine Learning and Data Classification 3
- Gaussian Processes and Bayesian Inference 3
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- Data Mining Algorithms and Applications 4
- Recommender Systems and Techniques 3
- Co-authors
- Sean J. Taylor (2 shared papers)Cynthia Rudin (10 shared papers)David Madigan (7 shared papers)Tyler H. McCormick (2 shared papers)Eytan Bakshy (5 shared papers)Brian Karrer (2 shared papers)Samuel Daulton (2 shared papers)Daniel Jiang (2 shared papers)
- Journals
- PLoS ONE (1 paper)Journal of Machine Learning Research (1 paper)The American Statistician (1 paper)Data Mining and Knowledge Discovery (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesIsraelFinland
In The Last Decade
Benjamin Letham
23 papers receiving 2.1k citations
Benjamin Letham's Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 46
- Management Science and Operations Research 443
- Signal Processing 263
- Artificial Intelligence 732
- Modeling and Simulation 77
Countries citing papers authored by Benjamin Letham
This map shows the geographic impact of Benjamin Letham'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 Benjamin Letham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Letham more than expected).
Fields of papers citing papers by Benjamin Letham
This network shows the impact of papers produced by Benjamin Letham. 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 Benjamin Letham. The network helps show where Benjamin Letham may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Letham, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Forecasting at Scale Hit paper breakdown → | 2017 | 1352 |
| 2 | Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Hit paper breakdown → | 2015 | 424 |
| 3 | 2010 | 108 | |
| 4 | 2019 | 84 | |
| 5 | 2017 | 35 | |
| 6 | 2013 | 34 | |
| 7 | BoTorch: Programmable Bayesian Optimization in PyTorch. | 2019 | 32 |
| 8 | Sequential Event Prediction with Association Rules | 2011 | 29 |
| 9 | An interpretable stroke prediction model using rules and Bayesian analysis | 2013 | 28 |
| 10 | Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data | 2014 | 13 |
| 11 | 2010 | 13 | |
| 12 | 2016 | 10 | |
| 13 | 2013 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2013 | 5 | |
| 17 | High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization | 2020 | 3 |
| 18 | A Learning Theory Framework for Sequential Event Prediction and Association Rules | 2012 | 3 |
| 19 | Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization | 2020 | 2 |
| 20 | 2011 | 2 |
About Benjamin Letham
Benjamin Letham is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Management Science and Operations Research and Cognitive Neuroscience, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (6 papers), Data Mining Algorithms and Applications (4 papers), Imbalanced Data Classification Techniques (4 papers), Recommender Systems and Techniques (3 papers), Machine Learning and Data Classification (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Advanced Bandit Algorithms Research (3 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Health Informatics (46 citations), Management Science and Operations Research (443 citations), Signal Processing (263 citations), Artificial Intelligence (732 citations) and Modeling and Simulation (77 citations). Benjamin Letham has collaborated with scholars based in United States, Israel and Finland. Frequent co-authors include Sean J. Taylor, Cynthia Rudin, David Madigan, Tyler H. McCormick, Eytan Bakshy, Brian Karrer, Samuel Daulton, Daniel Jiang, Maximilian Balandat and Andrew Gordon Wilson. Their work appears in journals such as PLoS ONE, Journal of Machine Learning Research, The American Statistician, Data Mining and Knowledge Discovery and The Annals of Applied Statistics.
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.