Jonathan Uesato

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 8 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Uesato’s work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Neural Network Applications (2 papers). Jonathan Uesato is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Neural Network Applications (2 papers). Jonathan Uesato collaborates with scholars based in United States, United Kingdom and Switzerland. Jonathan Uesato's co-authors include Pushmeet Kohli, Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Robert Stanforth, Brendan O’Donoghue, Aäron van den Oord, Po-Sen Huang, Krishnamurthy Dvijotham and Sven Gowal and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jonathan Uesato i

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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.

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).

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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