Ernest K. Ryu
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
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- Optimization and Variational Analysis
Papers in
-
- Advanced Optimization Algorithms Research 9
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- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Wotao Yin (6 shared papers)Stephen Boyd (2 shared papers)Hugh I. Kim (1 shared paper)I. Kanik (1 shared paper)Eric Pang (1 shared paper)Hyungjun Kim (1 shared paper)William A. Goddard (1 shared paper)Joseph A. Loo (1 shared paper)
- Journals
- Mathematical Programming (3 papers)SIAM Journal on Optimization (2 papers)Journal of Scientific Computing (2 papers)SIAM Journal on Scientific Computing (1 paper)Applied Mathematics & Optimization (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ernest K. Ryu
17 papers receiving 345 citations
Peers
Comparison fields: 5 of 71
- Numerical Analysis 79
- Computational Theory and Mathematics 84
- Computational Mechanics 106
- Spectroscopy 84
- Mathematical Physics 33
Countries citing papers authored by Ernest K. Ryu
This map shows the geographic impact of Ernest K. Ryu'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 Ernest K. Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernest K. Ryu more than expected).
Fields of papers citing papers by Ernest K. Ryu
This network shows the impact of papers produced by Ernest K. Ryu. 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 Ernest K. Ryu. The network helps show where Ernest K. Ryu may publish in the future.
Co-authors
The 20 scholars most cited alongside Ernest K. Ryu, 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 | 2009 | 90 | |
| 2 | 2022 | 64 | |
| 3 | 2019 | 49 | |
| 4 | 2017 | 42 | |
| 5 | 2014 | 33 | |
| 6 | 2018 | 30 | |
| 7 | 2023 | 14 | |
| 8 | 2018 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2017 | 7 | |
| 12 | Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm | 2021 | 6 |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 |
About Ernest K. Ryu
Ernest K. Ryu is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Applied Mathematics and Artificial Intelligence, having authored 18 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Stochastic Gradient Optimization Techniques (3 papers), Optimization and Variational Analysis (3 papers), Point processes and geometric inequalities (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Graph theory and applications (1 paper). The work is most often cited by research in Numerical Analysis (79 citations), Computational Theory and Mathematics (84 citations), Computational Mechanics (106 citations), Spectroscopy (84 citations) and Mathematical Physics (33 citations). Ernest K. Ryu has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Wotao Yin, Stephen Boyd, Hugh I. Kim, I. Kanik, Eric Pang, Hyungjun Kim, William A. Goddard, Joseph A. Loo, L. W. Beegle and Stanley Osher. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, Journal of Scientific Computing, SIAM Journal on Scientific Computing and Applied Mathematics & Optimization.
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.