Jonathan Baxter
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics 8
- Machine Learning and Algorithms 5
- Machine Learning and ELM 3
- Machine Learning and Data Classification 3
- Artificial Intelligence in Games 3
- Neural Networks and Applications 3
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction 4
- Museology top 2%
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- Sports Analytics and Performance 3
- Co-authors
- Peter L. BartlettLlew MasonMarcus FreanLex WeaverAndrew TridgellDouglas AberdeenDan CosleyGeri Gay
- Journals
- Machine Learning (4 papers)Journal of Computer and System Sciences (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jonathan Baxter
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 782
- Human-Computer Interaction 98
- Computer Vision and Pattern Recognition 357
- Museology 43
- Management Science and Operations Research 105
Countries citing papers authored by Jonathan Baxter
This map shows the geographic impact of Jonathan Baxter'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 Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Baxter more than expected).
Fields of papers citing papers by Jonathan Baxter
This network shows the impact of papers produced by Jonathan Baxter. 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 Baxter. The network helps show where Jonathan Baxter may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Jonathan Baxter, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2017 | 15 | |
| 5 | 2009 | 10 | |
| 6 | 2008 | 46 | |
| 7 | 2004 | 141 | |
| 8 | 2002 | 5 | |
| 9 | Scalable Internal-State Policy-Gradient Methods for POMDPs | 2002 | 42 |
| 10 | Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning | 2001 | 18 |
| 11 | 2001 | 15 | |
| 12 | Reinforcement learning and chess | 2001 | 5 |
| 13 | General Matrix-Matrix Multiplication Using SIMD Features of the PIII (Research Note) | 2000 | 1 |
| 14 | 2000 | 8 | |
| 15 | 2000 | 78 | |
| 16 | Boosting Algorithms as Gradient Descent | 1999 | 441 |
| 17 | Direct Optimization of Margins Improves Generalization in Combined Classifiers | 1998 | 24 |
| 18 | KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search | 1998 | 38 |
| 19 | The Canonical Distortion Measure in Feature Space and 1-NN Classification | 1997 | 9 |
| 20 | 1997 | 294 |
About Jonathan Baxter
Jonathan Baxter is a scholar working on Human-Computer Interaction, Artificial Intelligence, Hardware and Architecture, Computer Science Applications and Museology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Machine Learning and Algorithms (5 papers), Innovative Human-Technology Interaction (4 papers), Machine Learning and ELM (3 papers), Machine Learning and Data Classification (3 papers), Sports Analytics and Performance (3 papers), Artificial Intelligence in Games (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (782 citations), Human-Computer Interaction (98 citations), Computer Vision and Pattern Recognition (357 citations), Museology (43 citations) and Management Science and Operations Research (105 citations). Jonathan Baxter has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Peter L. Bartlett, Llew Mason, Marcus Frean, Lex Weaver, Andrew Tridgell, Douglas Aberdeen, Dan Cosley, Geri Gay, Chethan Sarabu and Soyoung Lee. Their work appears in journals such as Machine Learning, Journal of Computer and System Sciences, Journal of Machine Learning Research, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine and The Journal for Nurse Practitioners.
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.