Max Simchowitz

1.7k total citations
18 papers, 326 citations indexed

About

Max Simchowitz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Max Simchowitz has authored 18 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 6 papers in Control and Systems Engineering. Recurrent topics in Max Simchowitz's work include Advanced Bandit Algorithms Research (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Reinforcement Learning in Robotics (3 papers). Max Simchowitz is often cited by papers focused on Advanced Bandit Algorithms Research (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Reinforcement Learning in Robotics (3 papers). Max Simchowitz collaborates with scholars based in United States, United Kingdom and Singapore. Max Simchowitz's co-authors include Benjamin Recht, Jason D. Lee, Michael I. Jordan, Mahdi Soltanolkotabi, Ross Boczar, Stephen Tu, Georgios Piliouras, Ioannis Panageas, Russ Tedrake and Moritz Hardt and has published in prestigious journals such as Operations Research, Mathematical Programming and Mathematics of Operations Research.

In The Last Decade

Max Simchowitz

17 papers receiving 303 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Max Simchowitz United States	6	148	140	69	52	39	18	326
Mert Pilancı United States	9	188 1.3×	186 1.3×	59 0.9×	49 0.9×	48 1.2×	47	368
Xinyue Shen China	8	116 0.8×	109 0.8×	61 0.9×	24 0.5×	28 0.7×	17	297
Anastasios Zouzias Canada	9	147 1.0×	211 1.5×	106 1.5×	25 0.5×	68 1.7×	13	353
Kimon Fountoulakis United States	7	72 0.5×	61 0.4×	53 0.8×	44 0.8×	33 0.8×	13	197
Douglas S. Gonçalves Brazil	10	75 0.5×	74 0.5×	30 0.4×	67 1.3×	73 1.9×	34	259
Mariya Ishteva Belgium	9	98 0.7×	52 0.4×	41 0.6×	21 0.4×	83 2.1×	26	301
Kim Batselier Hong Kong	14	153 1.0×	87 0.6×	48 0.7×	36 0.7×	96 2.5×	51	457
Asai Asaithambi United States	11	126 0.9×	54 0.4×	36 0.5×	179 3.4×	35 0.9×	37	501
Vyacheslav Kungurtsev Czechia	12	114 0.8×	130 0.9×	23 0.3×	94 1.8×	89 2.3×	50	440

Countries citing papers authored by Max Simchowitz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Simchowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Max Simchowitz. A scholar is included among the top collaborators of Max Simchowitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max Simchowitz. Max Simchowitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Shirai, Yuki, et al.. (2025). Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans?. 11926–11932.

Simchowitz, Max, et al.. (2024). Constrained Bimanual Planning with Analytic Inverse Kinematics. 6935–6942. 4 indexed citations

Chen, Boyuan, et al.. (2024). Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion. 24081–24125. 4 indexed citations

Lykouris, Thodoris, Max Simchowitz, Aleksandrs Slivkins, & W. Sun. (2024). Corruption-Robust Exploration in Episodic Reinforcement Learning. Mathematics of Operations Research. 50(2). 1277–1304. 1 indexed citations

Petersen, Mark, et al.. (2023). Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets. 9 indexed citations

Simchowitz, Max & Aleksandrs Slivkins. (2023). Exploration and Incentives in Reinforcement Learning. Operations Research. 72(3). 983–998. 2 indexed citations

Simchowitz, Max, et al.. (2022). Online Control of Unknown Time-Varying Dynamical Systems. arXiv (Cornell University). 34. 1 indexed citations

Simchowitz, Max, Akshay Krishnamurthy, Daniel Hsu, et al.. (2021). Bayesian decision-making under misspecified priors with applications to meta-learning. arXiv (Cornell University). 34. 1 indexed citations

Simchowitz, Max, et al.. (2021). Task-Optimal Exploration in Linear Dynamical Systems. International Conference on Machine Learning. 10641–10652. 1 indexed citations

10.

Simchowitz, Max, et al.. (2021). On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. 2021 60th IEEE Conference on Decision and Control (CDC). 742–749. 1 indexed citations

11.

Simchowitz, Max. (2021). Statistical Complexity and Regret in Linear Control. eScholarship (California Digital Library). 1 indexed citations

12.

Braverman, Mark, Elad Hazan, Max Simchowitz, & Blake Woodworth. (2020). The Gradient Complexity of Linear Regression. Conference on Learning Theory. 627–647. 2 indexed citations

13.

Simchowitz, Max, Karan Singh, & Elad Hazan. (2020). Improper Learning for Non-Stochastic Control. Conference on Learning Theory. 3320–3436. 7 indexed citations

14.

Lee, Jason D., Ioannis Panageas, Georgios Piliouras, et al.. (2019). First-order methods almost always avoid strict saddle points. Mathematical Programming. 176(1-2). 311–337. 67 indexed citations

15.

Simchowitz, Max, et al.. (2018). The implicit fairness criterion of unconstrained learning. arXiv (Cornell University). 4051–4060. 10 indexed citations

16.

Simchowitz, Max, Kevin Jamieson, & Benjamin Recht. (2017). The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime. arXiv (Cornell University). 1794–1834. 2 indexed citations

17.

Tu, Stephen, Ross Boczar, Max Simchowitz, Mahdi Soltanolkotabi, & Benjamin Recht. (2016). Low-rank solutions of linear matrix equations via procrustes flow. International Conference on Machine Learning. 964–973. 66 indexed citations

18.

Lee, Jason D., Max Simchowitz, Michael I. Jordan, & Benjamin Recht. (2016). Gradient Descent Only Converges to Minimizers. Conference on Learning Theory. 49. 1246–1257. 147 indexed citations

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.

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