Benjamin Recht
Impact in
- Computational Mathematics top 0.05%
- Tensor decomposition and applications
- Computational Mechanics top 0.02%
- Sparse and Compressive Sensing Techniques
- 3D Shape Modeling and Analysis
Papers in
-
- Sparse and Compressive Sensing Techniques 46
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- Stochastic Gradient Optimization Techniques 24
- Neural Networks and Applications 5
- Co-authors
- Emmanuel J. Candès (6 shared papers)Pablo A. Parrilo (7 shared papers)Maryam Fazel (3 shared papers)Badri Narayan Bhaskar (9 shared papers)Gongguo Tang (9 shared papers)Neil Gershenfeld (1 shared paper)Moritz Hardt (5 shared papers)Christopher Ré (5 shared papers)
- Journals
- IEEE Transactions on Information Theory (5 papers)SIAM Journal on Optimization (3 papers)Foundations of Computational Mathematics (3 papers)Mathematical Programming (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Benjamin Recht
132 papers receiving 23.2k citations
Benjamin Recht's Hit Papers
Peers
Comparison fields: 5 of 181
- Computational Mathematics 1.2k
- Computational Mechanics 7.4k
- Hardware and Architecture 1.5k
- Artificial Intelligence 5.3k
- Signal Processing 1.1k
Countries citing papers authored by Benjamin Recht
This map shows the geographic impact of Benjamin Recht'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 Benjamin Recht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Recht more than expected).
Fields of papers citing papers by Benjamin Recht
This network shows the impact of papers produced by Benjamin Recht. 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 Benjamin Recht. The network helps show where Benjamin Recht may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Recht, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exact Matrix Completion via Convex Optimization Hit paper breakdown → | 2009 | 3520 |
| 2 | Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Hit paper breakdown → | 2010 | 2408 |
| 3 | Understanding deep learning (still) requires rethinking generalization Hit paper breakdown → | 2021 | 1620 |
| 4 | Physical One-Way Functions Hit paper breakdown → | 2002 | 1609 |
| 5 | Random Features for Large-Scale Kernel Machines Hit paper breakdown → | 2007 | 1435 |
| 6 | Plenoxels: Radiance Fields without Neural Networks Hit paper breakdown → | 2022 | 1026 |
| 7 | Compressed Sensing Off the Grid Hit paper breakdown → | 2013 | 894 |
| 8 | Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Hit paper breakdown → | 2011 | 728 |
| 9 | The Convex Geometry of Linear Inverse Problems Hit paper breakdown → | 2012 | 709 |
| 10 | Exact matrix completion via convex optimization Hit paper breakdown → | 2012 | 640 |
| 11 | The Convex Geometry of Linear Inverse Problems Hit paper breakdown → | 2010 | 602 |
| 12 | Tensor completion and low-n-rank tensor recovery via convex optimization Hit paper breakdown → | 2011 | 560 |
| 13 | A Tour of Reinforcement Learning: The View from Continuous Control Hit paper breakdown → | 2018 | 437 |
| 14 | Atomic Norm Denoising With Applications to Line Spectral Estimation Hit paper breakdown → | 2013 | 429 |
| 15 | K-Planes: Explicit Radiance Fields in Space, Time, and Appearance Hit paper breakdown → | 2023 | 373 |
| 16 | Occupy the cloud Hit paper breakdown → | 2017 | 336 |
| 17 | Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints Hit paper breakdown → | 2016 | 300 |
| 18 | Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning | 2008 | 292 |
| 19 | Blind Deconvolution Using Convex Programming Hit paper breakdown → | 2014 | 277 |
| 20 | On the Sample Complexity of the Linear Quadratic Regulator Hit paper breakdown → | 2019 | 268 |
About Benjamin Recht
Benjamin Recht is a scholar working on Computational Mechanics, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 135 papers that have together received 24k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (46 papers), Stochastic Gradient Optimization Techniques (24 papers), Control Systems and Identification (13 papers), Neural Networks and Applications (5 papers), Stability and Control of Uncertain Systems (5 papers), Advanced Control Systems Optimization (5 papers), Advanced Optimization Algorithms Research (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computational Mathematics (1.2k citations), Computational Mechanics (7.4k citations), Hardware and Architecture (1.5k citations), Artificial Intelligence (5.3k citations) and Signal Processing (1.1k citations). Benjamin Recht has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Emmanuel J. Candès, Pablo A. Parrilo, Maryam Fazel, Badri Narayan Bhaskar, Gongguo Tang, Neil Gershenfeld, Moritz Hardt, Christopher Ré, Venkat Chandrasekaran and Alan S. Willsky. Their work appears in journals such as IEEE Transactions on Information Theory, SIAM Journal on Optimization, Foundations of Computational Mathematics, Mathematical Programming and PLoS ONE.
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.