Jonathan Uesato
Jonathan Uesato publishes mostly in Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Topic Modeling and Natural Language Processing Techniques.
- World rank
- #2,459,007 of 7,710,434 ranked researchers
- Rank in United States
- #726,849 of 1,627,098
- Works
- 40
- Citations
- 4.4k
- Citations per work
- 108.8
What does Jonathan Uesato research?
Jonathan Uesato's work is mostly in Computer Science (85%), Engineering (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences3588.4%
- Computer Science3484.6%
- Engineering23.8%
- Everything else511.6%
- 1Artificial Intelligence70% of their works
- 2Hardware and Architecture5% of their works
- 3Computer Vision and Pattern Recognition4% of their works
- 4Electrical and Electronic Engineering4% of their works
- 5Software3% of their works
- 6Information Systems3% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
- Explainable Artificial Intelligence (XAI)
- Hate Speech and Cyberbullying Detection
- Physical Unclonable Functions (PUFs) and Hardware Security
Which keywords describe Jonathan Uesato's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Learning, Adversarial Examples, Robustness, Machine Translation, Word Representation and Neural Machine Translation.
- Hate Speech
- Detection
- Robotics
- Machine Learning Interpretability
- Anomaly Detection
- Neural Machine Translation
- Machine Translation
- Adversarial Examples
- Deep Learning
- Neural Networks
- Machine Learning
- Robustness
- Word Representation
- Statistical Machine Translation
- Interpretable Models
- Reinforcement Learning
- Unsupervised
- Hardware Trojans
- Physical Unclonable Functions
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Neural Networks454 topics
- Deep Learning424 topics
- Machine Learning302 topics
- Adversarial Examples251 topic
- Robustness251 topic
- Machine Translation81 topic
- Word Representation81 topic
- Neural Machine Translation71 topic
- Statistical Machine Translation71 topic
- Anomaly Detection61 topic
- Interpretable Models61 topic
- Machine Learning Interpretability61 topic
- Reinforcement Learning61 topic
- Robotics61 topic
- Unsupervised61 topic
- Detection51 topic
- Hardware Trojans51 topic
- Hate Speech51 topic
- Physical Unclonable Functions51 topic
Where does Jonathan Uesato work?
Jonathan Uesato's main affiliation in the publication record is Google (United States), United States.
How many publications and citations does Jonathan Uesato have?
OpenAlex counts 40 works and 4,353 citations for Jonathan Uesato, an h-index of 23, ranking #2,459,007 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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