Edward Snelson
Impact in
- Artificial Intelligence top 1%
- Gaussian Processes and Bayesian Inference
- Machine Learning and Data Classification
- Target Tracking and Data Fusion in Sensor Networks
- Machine Learning and Algorithms
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Gaussian Processes and Bayesian Inference 7
- Bayesian Modeling and Causal Inference 1
- Machine Learning and Data Classification 1
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- Control Systems and Identification 5
- Co-authors
- Zoubin Ghahramani (5 shared papers)John Guiver (3 shared papers)Carl Edward Rasmussen (1 shared paper)Iain Murray (1 shared paper)Oliver Williams (1 shared paper)Ralf Herbrich (1 shared paper)Laura Dietz (1 shared paper)
- Journals
- UCL Discovery (University College London) (3 papers)Cambridge University Engineering Department Publications Database (1 paper)Max Planck Institute for Plasma Physics (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Edward Snelson
9 papers receiving 1.2k citations
Edward Snelson's Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 887
- Computational Theory and Mathematics 261
- Control and Systems Engineering 338
- Statistics, Probability and Uncertainty 64
- Signal Processing 97
Countries citing papers authored by Edward Snelson
This map shows the geographic impact of Edward Snelson'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 Edward Snelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Snelson more than expected).
Fields of papers citing papers by Edward Snelson
This network shows the impact of papers produced by Edward Snelson. 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 Edward Snelson. The network helps show where Edward Snelson may publish in the future.
Co-authors
The 7 scholars most cited alongside Edward Snelson, 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 | Sparse Gaussian Processes using Pseudo-inputs Hit paper breakdown → | 2005 | 795 |
| 2 | Local and global sparse Gaussian process approximations. | 2007 | 149 |
| 3 | Warped Gaussian Processes | 2003 | 145 |
| 4 | 2009 | 101 | |
| 5 | 2008 | 33 | |
| 6 | Variable noise and dimensionality reduction for sparse Gaussian processes | 2006 | 30 |
| 7 | 2005 | 15 | |
| 8 | Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Textual Entailment.: First PASCAL Machine Learning Challenges Workshop, Southampton, UK, April 11--13, 2005, Revised Selected Papers. | 2006 | 3 |
| 9 | Sensible Priors for Sparse Bayesian Learning | 2007 | 2 |
| 10 | 2021 | 0 |
About Edward Snelson
Edward Snelson is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (7 papers), Control Systems and Identification (5 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Bayesian Modeling and Causal Inference (1 paper), Economic and Environmental Valuation (1 paper), Statistical and numerical algorithms (1 paper), Machine Learning and Data Classification (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (887 citations), Computational Theory and Mathematics (261 citations), Control and Systems Engineering (338 citations), Statistics, Probability and Uncertainty (64 citations) and Signal Processing (97 citations). Edward Snelson has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Zoubin Ghahramani, John Guiver, Carl Edward Rasmussen, Iain Murray, Oliver Williams, Ralf Herbrich and Laura Dietz. Their work appears in journals such as UCL Discovery (University College London), Cambridge University Engineering Department Publications Database, Max Planck Institute for Plasma Physics and Proceedings of the International AAAI Conference on Web and Social Media.
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.