Eli Bingham
Impact in
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- Formal Methods in Verification
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- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
- Machine Learning and Algorithms
- Logic, Reasoning, and Knowledge
Papers in
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- Advanced Multi-Objective Optimization Algorithms 1
- Matrix Theory and Algorithms 1
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- Tensor decomposition and applications 1
- Co-authors
- Yee Whye Teh (1 shared paper)Tom Rainforth (1 shared paper)Martin Jankowiak (2 shared papers)Fritz Obermeyer (1 shared paper)Justin Chiu (1 shared paper)Neeraj Pradhan (1 shared paper)Alexander M. Rush (1 shared paper)Noah D. Goodman (2 shared papers)
- Journals
- arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Eli Bingham
1 paper receiving 2 citations
Peers
Comparison fields: 2 of 2
- Computational Theory and Mathematics 1
- Artificial Intelligence 2
Countries citing papers authored by Eli Bingham
This map shows the geographic impact of Eli Bingham'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 Eli Bingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Bingham more than expected).
Fields of papers citing papers by Eli Bingham
This network shows the impact of papers produced by Eli Bingham. 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 Eli Bingham. The network helps show where Eli Bingham may publish in the future.
Co-authors
The 8 scholars most cited alongside Eli Bingham, 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 | 2019 | 2 | |
| 2 | Variational Estimators for Bayesian Optimal Experimental Design. | 2019 | 0 |
| 3 | 2024 | 0 |
About Eli Bingham
Eli Bingham is a scholar working on Computational Theory and Mathematics, Computational Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering and Infectious Diseases, having authored 3 papers that have together received 2 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Matrix Theory and Algorithms (1 paper), Optimal Experimental Design Methods (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1 citation), Artificial Intelligence (2 citations), Infectious Diseases (0 citations), Organic Chemistry (0 citations) and Surgery (0 citations). Eli Bingham has collaborated with scholars based in Israel and United States. Frequent co-authors include Yee Whye Teh, Tom Rainforth, Martin Jankowiak, Fritz Obermeyer, Justin Chiu, Neeraj Pradhan, Alexander M. Rush and Noah D. Goodman. Their work appears in journals such as arXiv (Cornell University).
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.