David Budden
Impact in
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
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- Robotic Path Planning Algorithms
Papers in
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- Reinforcement Learning in Robotics 6
- Stochastic Gradient Optimization Techniques 2
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- Image Retrieval and Classification Techniques 2
- Co-authors
- Nir Shavit (3 shared papers)Shibani Santurkar (1 shared paper)Edmund J. Crampin (7 shared papers)Daniel Hurley (5 shared papers)Alexandre S. Mendes (8 shared papers)Christine Chen (2 shared papers)David Lawrence Silver (1 shared paper)Timothy J. Baldwin (2 shared papers)
- Journals
- Briefings in Bioinformatics (2 papers)Epigenetics & Chromatin (2 papers)PLoS ONE (1 paper)BMC Bioinformatics (1 paper)Cell stem cell (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David Budden
34 papers receiving 2.7k citations
David Budden's Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 441
- Management Science and Operations Research 201
- Automotive Engineering 184
- Business and International Management 27
Countries citing papers authored by David Budden
This map shows the geographic impact of David Budden'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 David Budden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Budden more than expected).
Fields of papers citing papers by David Budden
This network shows the impact of papers produced by David Budden. 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 David Budden. The network helps show where David Budden may publish in the future.
Co-authors
The 25 scholars most cited alongside David Budden, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grandmaster level in StarCraft II using multi-agent reinforcement learning Hit paper breakdown → | 2019 | 2212 |
| 2 | 2018 | 133 | |
| 3 | 2016 | 90 | |
| 4 | Distributed Prioritized Experience Replay | 2018 | 60 |
| 5 | 2020 | 38 | |
| 6 | 2018 | 36 | |
| 7 | 2014 | 29 | |
| 8 | 2014 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2014 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2013 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2014 | 10 | |
| 15 | 2013 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2015 | 6 |
About David Budden
David Budden is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management, Media Technology and Signal Processing, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Modular Robots and Swarm Intelligence (4 papers), Genomics and Chromatin Dynamics (3 papers), Robot Manipulation and Learning (3 papers), Image Retrieval and Classification Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Scientific Computing and Data Management (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (441 citations), Management Science and Operations Research (201 citations), Automotive Engineering (184 citations) and Business and International Management (27 citations). David Budden has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nir Shavit, Shibani Santurkar, Edmund J. Crampin, Daniel Hurley, Alexandre S. Mendes, Christine Chen, David Lawrence Silver, Timothy J. Baldwin, Alice Pébay and Alex William Hewitt. Their work appears in journals such as Briefings in Bioinformatics, Epigenetics & Chromatin, PLoS ONE, BMC Bioinformatics and Cell stem cell.
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.