William Uther

About

William Uther is a scholar working on Artificial Intelligence, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, William Uther has authored 6 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Aerospace Engineering and 1 paper in Biomedical Engineering. Recurrent topics in William Uther’s work include Reinforcement Learning in Robotics (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Bayesian Modeling and Causal Inference (2 papers). William Uther is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Bayesian Modeling and Causal Inference (2 papers). William Uther collaborates with scholars based in Australia, United States and Japan. William Uther's co-authors include Manuela Veloso, Kee Siong Ng, Joel Veness, Marcus Hütter, David Silver, Hiroaki Kitano, Minoru Asada, John W. Lloyd and Kathryn Kasmarik and has published in prestigious journals such as Journal of Artificial Intelligence Research, Annals of Mathematics and Artificial Intelligence and Journal of Applied Logic.

In The Last Decade

Co-authorship network of co-authors of William Uther i

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Fields of papers citing papers by William Uther

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Uther

Since Specialization

Citations

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