David Budden
Impact in
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- Innovation and Socioeconomic Development
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- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Reinforcement Learning in Robotics 7
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Nir Shavit (4 shared papers)Shibani Santurkar (2 shared papers)Edmund J. Crampin (7 shared papers)Daniel Hurley (5 shared papers)Alexandre Mendes (8 shared papers)Dan Horgan (2 shared papers)Gabriel Barth-Maron (2 shared papers)David Silver (1 shared paper)
- Journals
- Briefings in Bioinformatics (2 papers)Epigenetics & Chromatin (2 papers)Bioinformatics (1 paper)Cell stem cell (1 paper)ACM SIGPLAN Notices (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David Budden
35 papers receiving 572 citations
Peers
Comparison fields: 5 of 101
- Business and International Management 26
- Computer Vision and Pattern Recognition 161
- Artificial Intelligence 174
- Signal Processing 43
- Molecular Biology 151
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2016 | 84 | |
| 3 | Distributed Prioritized Experience Replay | 2018 | 56 |
| 4 | Distributed Distributional Deterministic Policy Gradients | 2018 | 34 |
| 5 | 2018 | 33 | |
| 6 | 2019 | 28 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 26 | |
| 9 | 2014 | 18 | |
| 10 | Sample-efficient adaptive text-to-speech | 2018 | 16 |
| 11 | 2013 | 16 | |
| 12 | 2012 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2014 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2015 | 6 |
About David Budden
David Budden is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Mechanical Engineering and Control and Systems Engineering, having authored 37 papers that have together received 594 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Modular Robots and Swarm Intelligence (4 papers), Robot Manipulation and Learning (3 papers), Genomics and Chromatin Dynamics (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Remote-Sensing Image Classification (2 papers), Music and Audio Processing (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Business and International Management (26 citations), Computer Vision and Pattern Recognition (161 citations), Artificial Intelligence (174 citations), Signal Processing (43 citations) and Molecular Biology (151 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 Mendes, Dan Horgan, Gabriel Barth-Maron, David Silver, Alice Pébay and Timothy Baldwin. Their work appears in journals such as Briefings in Bioinformatics, Epigenetics & Chromatin, Bioinformatics, Cell stem cell and ACM SIGPLAN Notices.
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.