Keith Rush
Impact in
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- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
Papers in
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- Privacy-Preserving Technologies in Data 1
- Cryptography and Data Security 1
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- Mathematical functions and polynomials 2
- Co-authors
- Zachary Garrett (1 shared paper)Gary Cheng (1 shared paper)Zachary Charles (1 shared paper)Peter Kairouz (1 shared paper)Thomas A. Buchholz (1 shared paper)David Ganz (1 shared paper)Trista Patterson (1 shared paper)David Albert (1 shared paper)
- Journals
- Ecological Economics (1 paper)Journal of Approximation Theory (1 paper)Constructive Approximation (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)Conference on Learning Theory (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Keith Rush
4 papers receiving 23 citations
Peers
Comparison fields: 5 of 19
- Health Informatics 1
- Artificial Intelligence 14
- Numerical Analysis 2
- Agronomy and Crop Science 2
- Applied Mathematics 2
Countries citing papers authored by Keith Rush
This map shows the geographic impact of Keith Rush'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 Keith Rush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Rush more than expected).
Fields of papers citing papers by Keith Rush
This network shows the impact of papers produced by Keith Rush. 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 Keith Rush. The network helps show where Keith Rush may publish in the future.
Co-authors
The 11 scholars most cited alongside Keith Rush, 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 | 2022 | 13 | |
| 2 | 2014 | 5 | |
| 3 | (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces | 2021 | 3 |
| 4 | 2016 | 2 | |
| 5 | 2016 | 0 |
About Keith Rush
Keith Rush is a scholar working on Artificial Intelligence, Applied Mathematics, Numerical Analysis, Mathematical Physics and Information Systems, having authored 5 papers that have together received 23 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (2 papers), Auction Theory and Applications (1 paper), Privacy-Preserving Technologies in Data (1 paper), Mathematical Approximation and Integration (1 paper), Environmental Impact and Sustainability (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Cryptography and Data Security (1 paper) and Sustainable Industrial Ecology (1 paper). The work is most often cited by research in Health Informatics (1 citation), Artificial Intelligence (14 citations), Numerical Analysis (2 citations), Agronomy and Crop Science (2 citations) and Applied Mathematics (2 citations). Keith Rush has collaborated with scholars based in United States and Russia. Frequent co-authors include Zachary Garrett, Gary Cheng, Zachary Charles, Peter Kairouz, Thomas A. Buchholz, David Ganz, Trista Patterson, David Albert, Abhradeep Thakurta and David Saah. Their work appears in journals such as Ecological Economics, Journal of Approximation Theory, Constructive Approximation, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Conference on Learning Theory.
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.