Eric Chu
Impact in
- Computational Mathematics top 0.2%
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
Papers in
-
- Advanced Optimization Algorithms Research 3
-
- Topic Modeling 3
- Domain Adaptation and Few-Shot Learning 2
- Stochastic Gradient Optimization Techniques 2
- Speech and dialogue systems 2
- Co-authors
- Stephen Boyd (10 shared papers)Neal Parikh (3 shared papers)Borja Peleato (1 shared paper)Jonathan Eckstein (1 shared paper)Alexander Domahidi (2 shared papers)Brendan O’Donoghue (1 shared paper)Matt Kraning (2 shared papers)Javad Lavaei (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)Optimization and Engineering (1 paper)Journal of Optimization Theory and Applications (1 paper)Nature (1 paper)IFAC Proceedings Volumes (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Eric Chu
16 papers receiving 14.3k citations
Eric Chu's Hit Papers
Peers
Comparison fields: 5 of 146
- Computational Mathematics 375
- Numerical Analysis 711
- Computer Vision and Pattern Recognition 2.6k
- Computational Mechanics 2k
- Computer Networks and Communications 1.6k
Countries citing papers authored by Eric Chu
This map shows the geographic impact of Eric Chu'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 Eric Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Chu more than expected).
Fields of papers citing papers by Eric Chu
This network shows the impact of papers produced by Eric Chu. 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 Eric Chu. The network helps show where Eric Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Chu, 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 | Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Hit paper breakdown → | 2011 | 13263 |
| 2 | ECOS: An SOCP solver for embedded systems Hit paper breakdown → | 2013 | 529 |
| 3 | Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding Hit paper breakdown → | 2016 | 399 |
| 4 | 2013 | 205 | |
| 5 | 2010 | 45 | |
| 6 | 2014 | 35 | |
| 7 | 2013 | 30 | |
| 8 | 2018 | 25 | |
| 9 | 2011 | 17 | |
| 10 | 2013 | 14 | |
| 11 | 2013 | 14 | |
| 12 | 2012 | 10 | |
| 13 | 2026 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 1 |
About Eric Chu
Eric Chu is a scholar working on Numerical Analysis, Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications and Statistics and Probability, having authored 16 papers that have together received 14.6k indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Distributed Control Multi-Agent Systems (3 papers), Advanced Optimization Algorithms Research (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Optimal Power Flow Distribution (2 papers), Fault Detection and Control Systems (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Computational Mathematics (375 citations), Numerical Analysis (711 citations), Computer Vision and Pattern Recognition (2.6k citations), Computational Mechanics (2k citations) and Computer Networks and Communications (1.6k citations). Eric Chu has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Stephen Boyd, Neal Parikh, Borja Peleato, Jonathan Eckstein, Alexander Domahidi, Brendan O’Donoghue, Matt Kraning, Javad Lavaei, Dimitry M. Gorinevsky and Prashanth Vijayaraghavan. Their work appears in journals such as Springer tracts in advanced robotics, Optimization and Engineering, Journal of Optimization Theory and Applications, Nature and IFAC Proceedings Volumes.
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.