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
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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)Laura Dietz (1 shared paper)Ralf Herbrich (1 shared paper)
- Journals
- Max Planck Institute for Plasma Physics (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)Cambridge University Engineering Department Publications Database (1 paper)UCL Discovery (University College London) (2 papers)
- Partner nations
- United KingdomAustraliaIsrael
In The Last Decade
Edward Snelson
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 878
- Computational Theory and Mathematics 258
- Control and Systems Engineering 337
- Signal Processing 97
- Statistics, Probability and Uncertainty 64
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 | 787 |
| 2 | Local and global sparse Gaussian process approximations. | 2007 | 147 |
| 3 | Warped Gaussian Processes | 2003 | 145 |
| 4 | 2009 | 96 | |
| 5 | 2008 | 33 | |
| 6 | Variable noise and dimensionality reduction for sparse Gaussian processes | 2006 | 30 |
| 7 | 2005 | 14 | |
| 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, Transportation, Computational Theory and Mathematics and Marketing, 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), Complex Network Analysis Techniques (1 paper), Bayesian Modeling and Causal Inference (1 paper), Game Theory and Voting Systems (1 paper), Opinion Dynamics and Social Influence (1 paper) and Consumer Market Behavior and Pricing (1 paper). The work is most often cited by research in Artificial Intelligence (878 citations), Computational Theory and Mathematics (258 citations), Control and Systems Engineering (337 citations), Signal Processing (97 citations) and Statistics, Probability and Uncertainty (64 citations). Edward Snelson has collaborated with scholars based in United Kingdom, Australia and Israel. Frequent co-authors include Zoubin Ghahramani, John Guiver, Carl Edward Rasmussen, Iain Murray, Oliver Williams, Laura Dietz and Ralf Herbrich. Their work appears in journals such as Max Planck Institute for Plasma Physics, Proceedings of the International AAAI Conference on Web and Social Media, Cambridge University Engineering Department Publications Database and UCL Discovery (University College London).
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.