Max Simchowitz
Impact in
- Computational Mathematics top 10%
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
-
- Reinforcement Learning in Robotics 4
- Stochastic Gradient Optimization Techniques 3
-
- Robotic Path Planning Algorithms 3
- Co-authors
- Benjamin Recht (5 shared papers)Michael I. Jordan (3 shared papers)Jason D. Lee (2 shared papers)Esther Rolf (2 shared papers)Moritz Hardt (1 shared paper)Sarah Dean (1 shared paper)Stephen Tu (1 shared paper)Ross Boczar (1 shared paper)
- Journals
- Mathematical Programming (1 paper)IEEE Transactions on Robotics (1 paper)Mathematics of Operations Research (1 paper)Operations Research (1 paper)The International Journal of Robotics Research (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Max Simchowitz
15 papers receiving 523 citations
Peers
Comparison fields: 5 of 45
- Computational Mathematics 10
- Numerical Analysis 41
- Safety Research 87
- Artificial Intelligence 194
- Computational Mechanics 101
Countries citing papers authored by Max Simchowitz
This map shows the geographic impact of Max Simchowitz'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 Max Simchowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Simchowitz more than expected).
Fields of papers citing papers by Max Simchowitz
This network shows the impact of papers produced by Max Simchowitz. 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 Max Simchowitz. The network helps show where Max Simchowitz may publish in the future.
Co-authors
The 24 scholars most cited alongside Max Simchowitz, 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 | Gradient Descent Only Converges to Minimizers | 2016 | 174 |
| 2 | 2019 | 111 | |
| 3 | 2019 | 84 | |
| 4 | Low-rank solutions of linear matrix equations via procrustes flow | 2016 | 80 |
| 5 | 2020 | 20 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 0 |
About Max Simchowitz
Max Simchowitz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 16 papers that have together received 538 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Robotic Path Planning Algorithms (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Bandit Algorithms Research (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Control Systems and Identification (1 paper), Adaptive Dynamic Programming Control (1 paper) and Matrix Theory and Algorithms (1 paper). The work is most often cited by research in Computational Mathematics (10 citations), Numerical Analysis (41 citations), Safety Research (87 citations), Artificial Intelligence (194 citations) and Computational Mechanics (101 citations). Max Simchowitz has collaborated with scholars based in United States and Singapore. Frequent co-authors include Benjamin Recht, Michael I. Jordan, Jason D. Lee, Esther Rolf, Moritz Hardt, Sarah Dean, Stephen Tu, Ross Boczar, Mahdi Soltanolkotabi and Georgios Piliouras. Their work appears in journals such as Mathematical Programming, IEEE Transactions on Robotics, Mathematics of Operations Research, Operations Research and The International Journal of Robotics Research.
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.