Jonathan Uesato

4.1k total citations
7 papers, 170 citations indexed

About

Jonathan Uesato is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Uesato has authored 7 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Uesato's work include Adversarial Robustness in Machine Learning (5 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jonathan Uesato is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jonathan Uesato collaborates with scholars based in United States and United Kingdom. Jonathan Uesato's co-authors include Pushmeet Kohli, Robert Stanforth, Sven Gowal, Krishnamurthy Dvijotham, Brendan O’Donoghue, Aäron van den Oord, Chongli Qin, Timothy Mann, Relja Arandjelović and Rudy Bunel and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Jonathan Uesato

7 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Uesato United States	6	148	43	24	20	19	7	170
Jianmin Guo China	6	74 0.5×	18 0.4×	6 0.3×	26 1.3×	28 1.5×	9	116
Jacob Buckman United States	3	184 1.2×	52 1.2×	8 0.3×	40 2.0×	42 2.2×	3	208
Peter C. Dillinger United States	5	47 0.3×	24 0.6×	18 0.8×	18 0.9×	11 0.6×	12	104
Akiko Eriguchi Japan	6	305 2.1×	153 3.6×	35 1.5×	5 0.3×	4 0.2×	12	320
Patrik Ekdahl Sweden	6	160 1.1×	98 2.3×	15 0.6×	46 2.3×	6 0.3×	11	195
Kazumaro Aoki Japan	6	111 0.8×	72 1.7×	15 0.6×	9 0.5×	11 0.6×	22	129
Yonglin Hao China	5	103 0.7×	67 1.6×	12 0.5×	10 0.5×	7 0.4×	17	124
Jiqiang Lu Singapore	6	71 0.5×	67 1.6×	12 0.5×	8 0.4×	13 0.7×	20	92
Kyoji Shibutani Taiwan	4	109 0.7×	81 1.9×	8 0.3×	11 0.6×	14 0.7×	10	124
Kui Wang China	6	23 0.2×	7 0.2×	23 1.0×	14 0.7×	31 1.6×	18	95

Countries citing papers authored by Jonathan Uesato

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Uesato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Uesato

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

All Works

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7 of 7 papers shown

1.

Dathathri, Sumanth, Krishnamurthy Dvijotham, Robert Stanforth, et al.. (2021). Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. arXiv (Cornell University). 34. 2 indexed citations

2.

Weng, Tsui-Wei, Krishnamurthy Dvijotham, Jonathan Uesato, et al.. (2020). Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. International Conference on Learning Representations. 8 indexed citations

3.

Alayrac, Jean-Baptiste, Jonathan Uesato, Po-Sen Huang, et al.. (2019). Are Labels Required for Improving Adversarial Robustness. arXiv (Cornell University). 32. 12192–12202. 24 indexed citations

4.

Gowal, Sven, Krishnamurthy Dvijotham, Robert Stanforth, et al.. (2019). Scalable Verified Training for Provably Robust Image Classification. 4841–4850. 64 indexed citations

5.

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

6.

Ruderman, Avraham, Richard Everett, Hubert Soyer, et al.. (2018). Uncovering Surprising Behaviors in Reinforcement Learning via Worst-case Analysis. 6 indexed citations

7.

Devlin, Jacob, Jonathan Uesato, Surya Bhupatiraju, et al.. (2017). RobustFill: Neural Program Learning under Noisy I/O. arXiv (Cornell University). 990–998. 35 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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