R.D. Turner
Impact in
- Artificial Intelligence top 10%
- Gaussian Processes and Bayesian Inference
- Target Tracking and Data Fusion in Sensor Networks
- Data Stream Mining Techniques
- Machine Learning and Data Classification
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- Time Series Analysis and Forecasting
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 4
- Gaussian Processes and Bayesian Inference 3
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- Control Systems and Identification 2
- Co-authors
- Carl Edward Rasmussen (3 shared papers)Yunus Saatçi (1 shared paper)Marc Peter Deisenroth (2 shared papers)Matthias Poloczek (1 shared paper)David Eriksson (1 shared paper)Michael Pearce (1 shared paper)Jacob R. Gardner (1 shared paper)Uwe D. Hanebeck (1 shared paper)
- Journals
- IEEE Transactions on Nuclear Science (1 paper)Journal of Social Work (1 paper)Review of Scientific Instruments (1 paper)MPG.PuRe (Max Planck Society) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
R.D. Turner
8 papers receiving 222 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 143
- Signal Processing 39
- Computational Theory and Mathematics 40
- Control and Systems Engineering 58
- Management Science and Operations Research 28
Countries citing papers authored by R.D. Turner
This map shows the geographic impact of R.D. Turner'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 R.D. Turner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.D. Turner more than expected).
Fields of papers citing papers by R.D. Turner
This network shows the impact of papers produced by R.D. Turner. 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 R.D. Turner. The network helps show where R.D. Turner may publish in the future.
Co-authors
The 13 scholars most cited alongside R.D. Turner, 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 | Gaussian Process Change Point Models | 2010 | 79 |
| 2 | 2019 | 64 | |
| 3 | State-Space Inference and Learning with Gaussian Processes | 2010 | 40 |
| 4 | 1Robust Filtering and Smoothing with Gaussian Processes | 2016 | 29 |
| 5 | A Complete Variational Tracker | 2014 | 9 |
| 6 | Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking | 2013 | 8 |
| 7 | 1984 | 1 | |
| 8 | 1971 | 1 | |
| 9 | 2016 | 1 |
About R.D. Turner
R.D. Turner is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Health and Social Psychology, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (4 papers), Gaussian Processes and Bayesian Inference (3 papers), Statistical Methods and Inference (2 papers), Control Systems and Identification (2 papers), Data Management and Algorithms (1 paper), Photovoltaic System Optimization Techniques (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Superconducting Materials and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (143 citations), Signal Processing (39 citations), Computational Theory and Mathematics (40 citations), Control and Systems Engineering (58 citations) and Management Science and Operations Research (28 citations). R.D. Turner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Carl Edward Rasmussen, Yunus Saatçi, Marc Peter Deisenroth, Matthias Poloczek, David Eriksson, Michael Pearce, Jacob R. Gardner, Uwe D. Hanebeck, Marco F. Huber and Andrew R. Harvey. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Social Work, Review of Scientific Instruments, MPG.PuRe (Max Planck Society) and arXiv (Cornell University).
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.