William Uther
Impact in
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Data Stream Mining Techniques
- Bayesian Modeling and Causal Inference
- Neural Networks and Applications
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- Robotic Path Planning Algorithms
Papers in ⓘ
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- Reinforcement Learning in Robotics 3
- Evolutionary Algorithms and Applications 2
- Logic, Reasoning, and Knowledge 2
- Bayesian Modeling and Causal Inference 2
- Semantic Web and Ontologies 1
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- Robotic Locomotion and Control 3
- Co-authors
- Manuela Veloso (3 shared papers)Minoru Asada (1 shared paper)Hiroaki Kitano (1 shared paper)Kee Siong Ng (2 shared papers)John W. Lloyd (2 shared papers)Bernhard Hengst (2 shared papers)Kathryn Kasmarik (1 shared paper)Marcus Hütter (1 shared paper)
- Journals
- Haematologica (1 paper)Journal of Applied Logic (1 paper)Annals of Mathematics and Artificial Intelligence (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
William Uther
9 papers receiving 160 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 29
- Computational Theory and Mathematics 19
- Management Science and Operations Research 14
- Control and Systems Engineering 21
Countries citing papers authored by William Uther
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).
Fields of papers citing papers by William Uther
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.
Co-authors
The 13 scholars most cited alongside William Uther, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Tree based discretization for continuous state space reinforcement learning | 1998 | 89 |
| 2 | Automatic Gait Optimisation for Quadruped Robots | 2003 | 33 |
| 3 | 2002 | 23 | |
| 4 | Tree based hierarchical reinforcement learning | 2002 | 12 |
| 5 | 2008 | 10 | |
| 6 | 2009 | 9 | |
| 7 | Motivated agents | 2005 | 3 |
| 8 | A Description of the rUNSWift 2003 Legged Robot Soccer Team | 2003 | 3 |
| 9 | 2013 | 1 |
About William Uther
William Uther is a scholar working on Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 9 papers that have together received 183 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Robotic Locomotion and Control (3 papers), Evolutionary Algorithms and Applications (2 papers), Logic, Reasoning, and Knowledge (2 papers), Bayesian Modeling and Causal Inference (2 papers), Scientific Research and Discoveries (2 papers), Semantic Web and Ontologies (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Artificial Intelligence (122 citations), Computer Vision and Pattern Recognition (29 citations), Computational Theory and Mathematics (19 citations), Management Science and Operations Research (14 citations) and Control and Systems Engineering (21 citations). William Uther has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Manuela Veloso, Minoru Asada, Hiroaki Kitano, Kee Siong Ng, John W. Lloyd, Bernhard Hengst, Kathryn Kasmarik, Marcus Hütter, Claude Sammut and Jin Chen. Their work appears in journals such as Haematologica, Journal of Applied Logic, Annals of Mathematics and Artificial Intelligence, International Joint Conference on Artificial Intelligence and Defense Technical Information Center (DTIC).
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.