Benjamin Letham
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Health Informatics top 5%
Papers in
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- Advanced Bandit Algorithms Research 4
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- Gaussian Processes and Bayesian Inference 2
- Imbalanced Data Classification Techniques 2
- Machine Learning and Algorithms 2
- Co-authors
- Sean J. Taylor (1 shared paper)Cynthia D Rudin (7 shared papers)David Madigan (4 shared papers)Tyler H. McCormick (1 shared paper)Tommi Raij (3 shared papers)Eytan Bakshy (5 shared papers)Fa‐Hsuan Lin (2 shared papers)Iiro P. Jääskeläinen (1 shared paper)
- Journals
- Machine Learning (1 paper)Data Mining and Knowledge Discovery (1 paper)Bayesian Analysis (1 paper)Frontiers in Integrative Neuroscience (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesIsraelFinland
In The Last Decade
Benjamin Letham
18 papers receiving 2.3k citations
Benjamin Letham's Hit Papers
Peers
Comparison fields: 5 of 162
- Management Science and Operations Research 498
- Health Informatics 50
- Signal Processing 307
- Artificial Intelligence 795
- Modeling and Simulation 79
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
| # | Work | ||
|---|---|---|---|
| 1 | Forecasting at Scale Hit paper breakdown → | 2017 | 1576 |
| 2 | Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Hit paper breakdown → | 2015 | 504 |
| 3 | 2010 | 112 | |
| 4 | BoTorch: Programmable Bayesian Optimization in PyTorch. | 2019 | 40 |
| 5 | 2013 | 35 | |
| 6 | Sequential Event Prediction with Association Rules | 2011 | 29 |
| 7 | 2018 | 15 | |
| 8 | 2010 | 14 | |
| 9 | Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data | 2014 | 10 |
| 10 | 2023 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2013 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2013 | 5 | |
| 15 | High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization | 2020 | 3 |
| 16 | Similarity-Weighted Association Rules for a Name Recommender System | 2013 | 2 |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Benjamin Letham
Benjamin Letham is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Cognitive Neuroscience, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (4 papers), Rough Sets and Fuzzy Logic (3 papers), Recommender Systems and Techniques (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Data Mining Algorithms and Applications (2 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Management Science and Operations Research (498 citations), Health Informatics (50 citations), Signal Processing (307 citations), Artificial Intelligence (795 citations) and Modeling and Simulation (79 citations). Benjamin Letham has collaborated with scholars based in United States, Israel and Finland. Frequent co-authors include Sean J. Taylor, Cynthia D Rudin, David Madigan, Tyler H. McCormick, Tommi Raij, Eytan Bakshy, Fa‐Hsuan Lin, Iiro P. Jääskeläinen, Chérif P. Sahyoun and Steven M. Stufflebeam. Their work appears in journals such as Machine Learning, Data Mining and Knowledge Discovery, Bayesian Analysis, Frontiers in Integrative Neuroscience 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.