Andrew Moore
Impact in
- Artificial Intelligence top 0.05%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
- Advanced Clustering Algorithms Research
- Neural Networks and Applications
Papers in
-
- Reinforcement Learning in Robotics 19
- Bayesian Modeling and Causal Inference 16
- Anomaly Detection Techniques and Applications 15
- Machine Learning and Algorithms 13
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- Data Management and Algorithms 23
- Co-authors
- Leslie Pack Kaelbling (2 shared papers)Michael L. Littman (1 shared paper)William W. Cohen (2 shared papers)Christopher G. Atkeson (7 shared papers)Dan Pelleg (7 shared papers)Stefan Schaal (2 shared papers)Alexander Gray (8 shared papers)Justin A. Boyan (3 shared papers)
- Journals
- Labour History (13 papers)Machine Learning (6 papers)Journal of Machine Learning Research (4 papers)Artificial Intelligence Review (3 papers)EMBO Reports (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Andrew Moore
145 papers receiving 15.2k citations
Andrew Moore's Hit Papers
Peers
Comparison fields: 5 of 219
- Artificial Intelligence 8.6k
- Computer Vision and Pattern Recognition 2.8k
- Signal Processing 1.4k
- Computational Theory and Mathematics 1.5k
- Management Science and Operations Research 1.2k
Countries citing papers authored by Andrew Moore
This map shows the geographic impact of Andrew Moore'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 Andrew Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Moore more than expected).
Fields of papers citing papers by Andrew Moore
This network shows the impact of papers produced by Andrew Moore. 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 Andrew Moore. The network helps show where Andrew Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reinforcement Learning: A Survey Hit paper breakdown → | 1996 | 5388 |
| 2 | Proceedings of the 23rd international conference on Machine learning Hit paper breakdown → | 2006 | 2088 |
| 3 | X-means: Extending K-means with Efficient Estimation of the Number of Clusters Hit paper breakdown → | 2000 | 1453 |
| 4 | Locally Weighted Learning Hit paper breakdown → | 1997 | 1205 |
| 5 | 1993 | 428 | |
| 6 | 1997 | 357 | |
| 7 | Generalization in Reinforcement Learning: Safely Approximating the Value Function | 1994 | 324 |
| 8 | 1993 | 265 | |
| 9 | 2005 | 261 | |
| 10 | 1999 | 246 | |
| 11 | An Investigation of Practical Approximate Nearest Neighbor Algorithms | 2004 | 241 |
| 12 | 2002 | 213 | |
| 13 | 1995 | 178 | |
| 14 | `N-Body' Problems in Statistical Learning | 2000 | 168 |
| 15 | Gradient Descent for General Reinforcement Learning | 1998 | 160 |
| 16 | 2004 | 146 | |
| 17 | 1980 | 136 | |
| 18 | 2004 | 131 | |
| 19 | 1997 | 119 | |
| 20 | 1991 | 111 |
About Andrew Moore
Andrew Moore is a scholar working on Artificial Intelligence, Signal Processing, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 160 papers that have together received 16.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (23 papers), Reinforcement Learning in Robotics (19 papers), Bayesian Modeling and Causal Inference (16 papers), Data Mining Algorithms and Applications (15 papers), Anomaly Detection Techniques and Applications (15 papers), Data-Driven Disease Surveillance (15 papers), Australian History and Society (14 papers) and Machine Learning and Algorithms (13 papers). The work is most often cited by research in Artificial Intelligence (8.6k citations), Computer Vision and Pattern Recognition (2.8k citations), Signal Processing (1.4k citations), Computational Theory and Mathematics (1.5k citations) and Management Science and Operations Research (1.2k citations). Andrew Moore has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Leslie Pack Kaelbling, Michael L. Littman, William W. Cohen, Christopher G. Atkeson, Dan Pelleg, Stefan Schaal, Alexander Gray, Justin A. Boyan, Purnamrita Sarkar and Daniel B. Neill. Their work appears in journals such as Labour History, Machine Learning, Journal of Machine Learning Research, Artificial Intelligence Review and EMBO Reports.
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.