Blake Woodworth

1.1k total citations
9 papers, 94 citations indexed

About

Blake Woodworth is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Blake Woodworth has authored 9 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Computer Networks and Communications. Recurrent topics in Blake Woodworth's work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (1 paper). Blake Woodworth is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (1 paper). Blake Woodworth collaborates with scholars based in United States, Israel and France. Blake Woodworth's co-authors include Nathan Srebro, Yair Carmon, John C. Duchi, Yossi Arjevani, Dylan J. Foster, Nati Srebro, Brian Bullins, Ohad Shamir, Kumar Kshitij Patel and Suriya Gunasekar and has published in prestigious journals such as Mathematical Programming, OpenBU/Boston University Institutional Repository (Boston University) and arXiv (Cornell University).

In The Last Decade

Blake Woodworth

8 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Blake Woodworth United States	5	70	27	17	10	8	9	94
Yossi Arjevani Israel	4	51 0.7×	32 1.2×	20 1.2×	7 0.7×	9 1.1×	10	77
Nicolas Loizou United Kingdom	4	95 1.4×	32 1.2×	67 3.9×	24 2.4×	3 0.4×	9	121
Darina Dvinskikh Russia	6	46 0.7×	41 1.5×	16 0.9×	3 0.3×	13 1.6×	22	81
Filip Hanzely Saudi Arabia	5	27 0.4×	16 0.6×	7 0.4×	5 0.5×	6 0.8×	8	63
Eduard Gorbunov Russia	6	42 0.6×	35 1.3×	10 0.6×	4 0.4×	19 2.4×	14	70
Aymeric Dieuleveut France	4	38 0.5×	17 0.6×	5 0.3×	2 0.2×	8 1.0×	12	56
Zachary Charles United States	6	54 0.8×	14 0.5×	17 1.0×	21 2.1×	1 0.1×	10	80
Jan Pfeifer United States	4	44 0.6×	6 0.2×	6 0.4×	5 0.5×	1 0.1×	6	69
Sébastien Rouault Switzerland	7	127 1.8×	5 0.2×	28 1.6×	19 1.9×		11	142
Rahul Kidambi United States	5	31 0.4×	13 0.5×	4 0.2×	2 0.2×	2 0.3×	12	40

Countries citing papers authored by Blake Woodworth

Since Specialization

Citations

This map shows the geographic impact of Blake Woodworth'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 Blake Woodworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake Woodworth more than expected).

Fields of papers citing papers by Blake Woodworth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blake Woodworth. 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 Blake Woodworth. The network helps show where Blake Woodworth may publish in the future.

Co-authorship network of co-authors of Blake Woodworth

This figure shows the co-authorship network connecting the top 25 collaborators of Blake Woodworth. A scholar is included among the top collaborators of Blake Woodworth 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 Blake Woodworth. Blake Woodworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Arjevani, Yossi, Yair Carmon, John C. Duchi, et al.. (2022). Lower bounds for non-convex stochastic optimization. Mathematical Programming. 199(1-2). 165–214. 35 indexed citations

Woodworth, Blake, Brian Bullins, Ohad Shamir, & Nathan Srebro. (2022). The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5359–5363. 5 indexed citations

Woodworth, Blake, et al.. (2021). On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. 468–477. 1 indexed citations

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

Woodworth, Blake, Kumar Kshitij Patel, Sebastian U. Stich, et al.. (2020). Is Local SGD Better than Minibatch SGD. 1. 10334–10343. 23 indexed citations

Gunasekar, Suriya, Blake Woodworth, & Nathan Srebro. (2020). Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent. arXiv (Cornell University). 2305–2313. 1 indexed citations

Woodworth, Blake, Vitaly Feldman, Saharon Rosset, & Nathan Srebro. (2018). The Everlasting Database: Statistical Validity at a Fair Price. arXiv (Cornell University). 31. 6531–6540. 1 indexed citations

Woodworth, Blake, Jialei Wang, Adam Smith, Brendan McMahan, & Nati Srebro. (2018). Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization. OpenBU/Boston University Institutional Repository (Boston University). 31. 8496–8506. 16 indexed citations

Woodworth, Blake, Suriya Gunasekar, Mesrob I. Ohannessian, & Nathan Srebro. (2017). Learning Non-Discriminatory Predictors. Conference on Learning Theory. 1920–1953. 10 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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