Brendan O’Donoghue

6.4k total citations · 3 hit papers
20 papers, 1.6k citations indexed

About

Brendan O’Donoghue is a scholar working on Numerical Analysis, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Brendan O’Donoghue has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Numerical Analysis, 6 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Brendan O’Donoghue's work include Advanced Optimization Algorithms Research (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Reinforcement Learning in Robotics (4 papers). Brendan O’Donoghue is often cited by papers focused on Advanced Optimization Algorithms Research (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Reinforcement Learning in Robotics (4 papers). Brendan O’Donoghue collaborates with scholars based in United States, United Kingdom and Switzerland. Brendan O’Donoghue's co-authors include Emmanuel J. Candès, Stephen Boyd, Richard G. Baraniuk, Tom Goldstein, Simon Setzer, Eric Chu, Yuanming Shi, Khaled B. Letaief, Jun Zhang and Yan Wang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Control Systems Technology and SIAM Journal on Optimization.

In The Last Decade

Brendan O’Donoghue

20 papers receiving 1.6k citations

Hit Papers

Fast Alternating Direction Optimization Methods 2013 2026 2017 2021 2014 2013 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brendan O’Donoghue United States 12 549 397 312 298 283 20 1.6k
P. Tseng United States 12 712 1.3× 592 1.5× 311 1.0× 159 0.5× 342 1.2× 15 2.3k
Jinshan Zeng China 18 608 1.1× 372 0.9× 200 0.6× 86 0.3× 155 0.5× 72 1.7k
H. Hindi United States 14 691 1.3× 205 0.5× 353 1.1× 761 2.6× 174 0.6× 49 2.0k
Zhi-Quan Luo United States 13 717 1.3× 566 1.4× 860 2.8× 145 0.5× 294 1.0× 22 2.3k
François Glineur Belgium 20 467 0.9× 383 1.0× 129 0.4× 111 0.4× 335 1.2× 68 1.2k
Wei Bian China 25 502 0.9× 709 1.8× 129 0.4× 165 0.6× 184 0.7× 100 2.0k
Stephen A. Vavasis United States 29 710 1.3× 392 1.0× 335 1.1× 207 0.7× 584 2.1× 72 2.8k
Zhaosong Lu Canada 26 1.1k 1.9× 500 1.3× 90 0.3× 120 0.4× 481 1.7× 69 2.0k
Yangyang Xu United States 18 1.4k 2.5× 506 1.3× 250 0.8× 77 0.3× 355 1.3× 72 2.5k
Li‐Zhi Liao Hong Kong 25 667 1.2× 504 1.3× 120 0.4× 382 1.3× 1.1k 3.8× 88 2.6k

Countries citing papers authored by Brendan O’Donoghue

Since Specialization
Citations

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

Fields of papers citing papers by Brendan O’Donoghue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brendan O’Donoghue. 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 Brendan O’Donoghue. The network helps show where Brendan O’Donoghue may publish in the future.

Co-authorship network of co-authors of Brendan O’Donoghue

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan O’Donoghue. A scholar is included among the top collaborators of Brendan O’Donoghue 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 Brendan O’Donoghue. Brendan O’Donoghue 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.
O’Donoghue, Brendan, Tor Lattimore, & Ian Osband. (2021). Matrix games with bandit feedback. Uncertainty in Artificial Intelligence. 1 indexed citations
2.
Kim, Jongho, et al.. (2021). Sample Efficient Reinforcement Learning with REINFORCE. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10887–10895. 46 indexed citations
3.
O’Donoghue, Brendan, Ian Osband, & Catalin Ionescu. (2020). Making Sense of Reinforcement Learning and Probabilistic Inference. arXiv (Cornell University). 4 indexed citations
4.
O’Donoghue, Brendan, et al.. (2020). Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. SIAM Journal on Optimization. 30(4). 3170–3197. 46 indexed citations
5.
O’Donoghue, Brendan. (2019). Splitting Conic Solver [R package scs version 1.3-2]. 2 indexed citations
6.
O’Donoghue, Brendan, Ian Osband, Rémi Munos, & Volodymyr Mnih. (2018). The Uncertainty Bellman Equation and Exploration.. International Conference on Machine Learning. 3839–3848. 13 indexed citations
7.
Uesato, Jonathan, Brendan O’Donoghue, Aäron van den Oord, & Pushmeet Kohli. (2018). Adversarial Risk and the Dangers of Evaluating Against Weak Attacks.. International Conference on Machine Learning. 5025–5034. 31 indexed citations
8.
O’Donoghue, Brendan, Rémi Munos, Koray Kavukcuoglu, & Volodymyr Mnih. (2017). Combining policy gradient and Q-learning. International Conference on Learning Representations. 9 indexed citations
9.
O’Donoghue, Brendan, et al.. (2016). Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding. Journal of Optimization Theory and Applications. 169(3). 1042–1068. 298 indexed citations breakdown →
10.
Shi, Yuanming, Jun Zhang, Brendan O’Donoghue, & Khaled B. Letaief. (2015). Large-Scale Convex Optimization for Dense Wireless Cooperative Networks. IEEE Transactions on Signal Processing. 63(18). 4729–4743. 85 indexed citations
11.
O’Donoghue, Brendan, et al.. (2014). A SPREAD-RETURN MEAN-REVERTING MODEL FOR CREDIT SPREAD DYNAMICS. International Journal of Theoretical and Applied Finance. 17(3). 1450017–1450017. 5 indexed citations
12.
Goldstein, Tom, Brendan O’Donoghue, Simon Setzer, & Richard G. Baraniuk. (2014). Fast Alternating Direction Optimization Methods. SIAM Journal on Imaging Sciences. 7(3). 1588–1623. 503 indexed citations breakdown →
13.
Wang, Yan, Brendan O’Donoghue, & Stephen Boyd. (2014). Approximate dynamic programming via iterated Bellman inequalities. International Journal of Robust and Nonlinear Control. 25(10). 1472–1496. 38 indexed citations
14.
O’Donoghue, Brendan, et al.. (2014). A Spread-Return Mean-Reverting Model for Credit Spread Dynamics. SSRN Electronic Journal. 3 indexed citations
15.
O’Donoghue, Brendan, et al.. (2013). Operator Splitting for Conic Optimization via Homogeneous Self-Dual Embedding. arXiv (Cornell University). 20 indexed citations
16.
O’Donoghue, Brendan, Yang Wang, & Stephen Boyd. (2013). Iterated approximate value functions. 3882–3888. 3 indexed citations
17.
O’Donoghue, Brendan & Emmanuel J. Candès. (2013). Adaptive Restart for Accelerated Gradient Schemes. Foundations of Computational Mathematics. 15(3). 715–732. 396 indexed citations breakdown →
18.
O’Donoghue, Brendan, et al.. (2013). A Splitting Method for Optimal Control. IEEE Transactions on Control Systems Technology. 21(6). 2432–2442. 124 indexed citations
19.
O’Donoghue, Brendan, et al.. (2011). Min-max approximate dynamic programming. 51. 424–431. 13 indexed citations
20.
O’Donoghue, Brendan. (2011). A Poetics of Homecoming: Heidegger, Homelessness and the Homecoming Venture. Medical Entomology and Zoology. 2 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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