Stephen Boyd
Impact in
- Computational Mathematics top 0.05%
- Numerical Analysis top 0.01%
- Advanced Optimization Algorithms Research
Papers in
-
- Advanced Optimization Algorithms Research 83
-
- Control Systems and Identification 68
- Advanced Control Systems Optimization 65
- Stability and Control of Uncertain Systems 52
- Fault Detection and Control Systems 32
- Co-authors
- Lieven Vandenberghe (37 shared papers)Lin Xiao (14 shared papers)Emmanuel J. Candès (5 shared papers)Seung-Jean Kim (25 shared papers)Michael C. Grant (5 shared papers)Michael B. Wakin (1 shared paper)Hervé Lebret (2 shared papers)H. Hindi (12 shared papers)
- Journals
- Optimization and Engineering (21 papers)IEEE Transactions on Automatic Control (10 papers)IEEE Transactions on Signal Processing (9 papers)Systems & Control Letters (8 papers)SIAM Review (7 papers)
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Stephen Boyd
474 papers receiving 99.0k citations
Stephen Boyd's Hit Papers
Peers
Comparison fields: 5 of 216
- Computational Mathematics 941
- Numerical Analysis 6.6k
- Computer Networks and Communications 26.1k
- Control and Systems Engineering 21.6k
- Computational Mechanics 18.9k
Countries citing papers authored by Stephen Boyd
This map shows the geographic impact of Stephen Boyd'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 Stephen Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Boyd more than expected).
Fields of papers citing papers by Stephen Boyd
This network shows the impact of papers produced by Stephen Boyd. 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 Stephen Boyd. The network helps show where Stephen Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Boyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 494 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convex Optimization Hit paper breakdown → | 2004 | 22833 |
| 2 | Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Hit paper breakdown → | 2011 | 12871 |
| 3 | Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Hit paper breakdown → | 2010 | 9590 |
| 4 | Enhancing Sparsity by Reweighted ℓ 1 Minimization Hit paper breakdown → | 2008 | 3654 |
| 5 | Semidefinite Programming Hit paper breakdown → | 1996 | 3171 |
| 6 | Fast linear iterations for distributed averaging Hit paper breakdown → | 2004 | 2082 |
| 7 | Linear Matrix Inequalities in Systems and Control Theory Hit paper breakdown → | 1994 | 2025 |
| 8 | Graph Implementations for Nonsmooth Convex Programs Hit paper breakdown → | 2007 | 1980 |
| 9 | Applications of second-order cone programming Hit paper breakdown → | 1998 | 1882 |
| 10 | Randomized gossip algorithms Hit paper breakdown → | 2006 | 1741 |
| 11 | An Interior-Point Method for Large-Scale -Regularized Least Squares Hit paper breakdown → | 2007 | 1649 |
| 12 | Proximal Algorithms Hit paper breakdown → | 2014 | 1354 |
| 13 | Simple accurate expressions for planar spiral inductances Hit paper breakdown → | 1999 | 1252 |
| 14 | Fast Model Predictive Control Using Online Optimization Hit paper breakdown → | 2009 | 1096 |
| 15 | Sensor Selection via Convex Optimization Hit paper breakdown → | 2008 | 996 |
| 16 | Linear controller design: limits of performance Hit paper breakdown → | 1991 | 933 |
| 17 | A scheme for robust distributed sensor fusion based on average consensus Hit paper breakdown → | 2005 | 926 |
| 18 | A tutorial on geometric programming Hit paper breakdown → | 2007 | 865 |
| 19 | Distributed average consensus with least-mean-square deviation Hit paper breakdown → | 2006 | 847 |
| 20 | Disciplined Convex Programming Hit paper breakdown → | 2006 | 802 |
About Stephen Boyd
Stephen Boyd is a scholar working on Numerical Analysis, Control and Systems Engineering, Computational Theory and Mathematics, Computational Mechanics and Computer Networks and Communications, having authored 494 papers that have together received 103.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (83 papers), Sparse and Compressive Sensing Techniques (77 papers), Control Systems and Identification (68 papers), Advanced Control Systems Optimization (65 papers), Stability and Control of Uncertain Systems (52 papers), Matrix Theory and Algorithms (39 papers), Fault Detection and Control Systems (32 papers) and Probabilistic and Robust Engineering Design (23 papers). The work is most often cited by research in Computational Mathematics (941 citations), Numerical Analysis (6.6k citations), Computer Networks and Communications (26.1k citations), Control and Systems Engineering (21.6k citations) and Computational Mechanics (18.9k citations). Stephen Boyd has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Lieven Vandenberghe, Lin Xiao, Emmanuel J. Candès, Seung-Jean Kim, Michael C. Grant, Michael B. Wakin, Hervé Lebret, H. Hindi, Kwangmoo Koh and Sanjay Lall. Their work appears in journals such as Optimization and Engineering, IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, Systems & Control Letters and SIAM Review.
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.