| A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking MS Arulampalam, S Maskell, N Gordon, T Clapp IEEE Transactions on signal processing 50 (2), 174-188, 2002 | 13691 | 2002 |
| Smoothing algorithms for state–space models M Briers, A Doucet, S Maskell Annals of the Institute of Statistical Mathematics 62 (1), 61, 2010 | 338 | 2010 |
| Poisson models for extended target and group tracking K Gilholm, S Godsill, S Maskell, D Salmond Signal and Data Processing of Small Targets 2005 5913, 59130R, 2005 | 277 | 2005 |
| A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking S Maskell, N Gordon Target tracking: algorithms and applications (Ref. No. 2001/174), IEE 2, 21-215, 2001 | 218 | 2001 |
| Fast particle smoothing: If I had a million particles M Klaas, M Briers, N De Freitas, A Doucet, S Maskell, D Lang Proceedings of the 23rd international conference on Machine learning, 481-488, 2006 | 194 | 2006 |
| Recursive track-before-detect with target amplitude fluctuations MG Rutten, NJ Gordon, S Maskell IEE Proceedings-Radar, Sonar and Navigation 152 (5), 345-352, 2005 | 174 | 2005 |
| Comparison of EKF, pseudomeasurement, and particle filters for a bearing-only target tracking problem X Lin, T Kirubarajan, Y Bar-Shalom, S Maskell Signal and Data Processing of Small Targets 2002 4728, 240-250, 2002 | 167 | 2002 |
| Efficient particle filters for joint tracking and classification NJ Gordon, S Maskell, T Kirubarajan Signal and Data Processing of Small Targets 2002 4728, 439-449, 2002 | 114 | 2002 |
| Social media and pharmacovigilance: a review of the opportunities and challenges R Sloane, O Osanlou, D Lewis, D Bollegala, S Maskell, M Pirmohamed British journal of clinical pharmacology 80 (4), 910-920, 2015 | 90 | 2015 |
| A rao-blackwellised unscented Kalman filter M Briers, SR Maskell, R Wright Sixth International Conference of Information Fusion, 2003. Proceedings of …, 2003 | 69 | 2003 |
| Cramér-Rao bounds for non-linear filtering with measurement origin uncertainty ML Hernandez, AD Marrs, NJ Gordon, SR Maskell, CM Reed Proceedings of the Fifth International Conference on Information Fusion …, 2002 | 67 | 2002 |
| A Bayesian approach to fusing uncertain, imprecise and conflicting information S Maskell Information Fusion 9 (2), 259-277, 2008 | 66 | 2008 |
| Group object structure and state estimation with evolving networks and Monte Carlo methods A Gning, L Mihaylova, S Maskell, SK Pang, S Godsill IEEE Transactions on Signal Processing 59 (4), 1383-1396, 2010 | 56 | 2010 |
| Efficient particle-based track-before-detect in Rayleigh noise MG Rutten, NJ Gordon, S Maskell International Conference on Information Fusion, 693-700, 2004 | 50 | 2004 |
| Particle-based track-before-detect in Rayleigh noise MG Rutten, NJ Gordon, S Maskell Signal and Data Processing of Small Targets 2004 5428, 509-519, 2004 | 49 | 2004 |
| Special issue on Monte Carlo methods for statistical signal processing MS Arulampalam, S Maskell, N Gordon, T Clapp IEEE Trans Signal Process 50 (2), 173, 2002 | 48 | 2002 |
| Joint tracking of manoeuvring targets and classification of their manoeuvrability S Maskell EURASIP Journal on Advances in Signal Processing 2004 (15), 613289, 2004 | 45 | 2004 |
| Real-time tracking of hundreds of targets with efficient exact JPDAF implementation P Horridge, S Maskell 2006 9th International Conference on Information Fusion, 1-8, 2006 | 44 | 2006 |
| A single instruction multiple data particle filter S Maskell, B Alun-Jones, M Macleod 2006 IEEE Nonlinear Statistical Signal Processing Workshop, 51-54, 2006 | 35 | 2006 |
| Efficient particle filtering for multiple target tracking with application to tracking in structured images S Maskell, M Rollason, N Gordon, D Salmond Image and Vision Computing 21 (10), 931-939, 2003 | 35 | 2003 |
