Nick Whiteley
- Artificial Intelligence top 5%
- Statistics and Probability top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Sumeetpal S. SinghSimon GodsillAli Taylan CemgilAnthony LeeAjay JasraAdam M. JohansenDan CrisanAlexandros Beskos
- Topics
- Target Tracking and Data Fusion in Sensor Networks (17 papers)Gaussian Processes and Bayesian Inference (13 papers)Bayesian Methods and Mixture Models (8 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Signal ProcessingJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Nick Whiteley
36 papers receiving 479 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 270
- Statistics and Probability 104
- Signal Processing 73
- Computer Vision and Pattern Recognition 57
- Control and Systems Engineering 46
Countries citing papers authored by Nick Whiteley
This map shows the geographic impact of Nick Whiteley'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 Nick Whiteley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Whiteley more than expected).
Fields of papers citing papers by Nick Whiteley
This network shows the impact of papers produced by Nick Whiteley. 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 Nick Whiteley. The network helps show where Nick Whiteley may publish in the future.
Co-authorship network of co-authors of Nick Whiteley
This figure shows the co-authorship network connecting the top 25 collaborators of Nick Whiteley. A scholar is included among the top collaborators of Nick Whiteley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nick Whiteley. Nick Whiteley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 25 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | E cient Bayesian Inference for Switching State-Space Models using Particle Markov Chain Monte Carlo Methods | 1 |
| 16 | 8 | |
| 17 | 8 | |
| 18 | A modern perspective on auxiliary particle filters | 1 |
| 19 | 17 | |
| 20 | Discussion on the paper by Andrieu, Doucet and Holenstein | 1 |
About Nick Whiteley
Nick Whiteley is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 39 papers that have together received 505 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (17 papers), Gaussian Processes and Bayesian Inference (13 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Statistics and Probability (104 citations), Artificial Intelligence (270 citations) and Signal Processing (73 citations). Nick Whiteley has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Sumeetpal S. Singh, Simon Godsill, Ali Taylan Cemgil, Anthony Lee, Ajay Jasra, Adam M. Johansen, Dan Crisan, Alexandros Beskos, Richard E. Turner and Yves F. Atchadé. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Signal Processing and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.