Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Benjamin Recht
Since
Specialization
Citations
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).
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-authorship network of co-authors of Benjamin Recht
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Recht.
A scholar is included among the top collaborators of Benjamin Recht 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 Benjamin Recht. Benjamin Recht is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Recht, Benjamin, et al.. (2025). On Sampling Time and Invariance. IEEE Control Systems Letters. 9. 919–924.1 indexed citations
Li, Liam, Kevin Jamieson, Afshin Rostamizadeh, et al.. (2020). A System for Massively Parallel Hyperparameter Tuning. 2. 230–246.87 indexed citations
4.
Taori, Rohan, Achal Dave, Vaishaal Shankar, et al.. (2020). Measuring Robustness to Natural Distribution Shifts in Image Classification. Neural Information Processing Systems. 33. 18583–18599.11 indexed citations
5.
Mania, Horia, Stephen Tu, & Benjamin Recht. (2019). Certainty Equivalence is Efficient for Linear Quadratic Control. Neural Information Processing Systems. 32. 10154–10164.13 indexed citations
6.
Dean, Sarah, et al.. (2019). Robust Guarantees for Perception-Based Control. 350–360.5 indexed citations
7.
Mania, Horia, Stephen Tu, & Benjamin Recht. (2019). Certainty Equivalent Control of LQR is Efficient.. arXiv (Cornell University).16 indexed citations
8.
Roelofs, Rebecca, Vaishaal Shankar, Benjamin Recht, et al.. (2019). A Meta-Analysis of Overfitting in Machine Learning. Neural Information Processing Systems. 32. 9175–9185.53 indexed citations
9.
Mania, Horia, Aurelia Guy, & Benjamin Recht. (2018). Simple random search of static linear policies is competitive for reinforcement learning. Neural Information Processing Systems. 31. 1800–1809.58 indexed citations
10.
Tu, Stephen, Ross Boczar, & Benjamin Recht. (2018). On the Approximation of Toeplitz Operators for Nonparametric H ∞ -norm Estimation.. 1867–1872.7 indexed citations
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
13.
Hardt, Moritz, Benjamin Recht, & Yoram Singer. (2016). Train faster, generalize better: stability of stochastic gradient descent. International Conference on Machine Learning. 1225–1234.125 indexed citations
14.
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
15.
Recht, Benjamin & Christopher Ré. (2012). Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences. Conference on Learning Theory.20 indexed citations
16.
Rao, Nikhil, Benjamin Recht, & Robert D. Nowak. (2012). Universal Measurement Bounds for Structured Sparse Signal Recovery. International Conference on Artificial Intelligence and Statistics. 942–950.23 indexed citations
Rahimi, Ali & Benjamin Recht. (2008). Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning. Neural Information Processing Systems. 21. 1313–1320.260 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.