| 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 | 15942 | 2002 |
| Smoothing algorithms for state–space models M Briers, A Doucet, S Maskell Annals of the Institute of Statistical Mathematics 62, 61-89, 2010 | 424 | 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, 230-241, 2005 | 361 | 2005 |
| A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking S Maskell, N Gordon IEE Target Tracking: Algorithms and Applications (Ref. No. 2001/174), 2/1-2 …, 2001 | 251 | 2001 |
| 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 | 223 | 2002 |
| 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 | 219 | 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 | 214 | 2005 |
| 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 | 172 | 2015 |
| 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 | 123 | 2002 |
| 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 | 96 | 2010 |
| Recommendations for the use of social media in pharmacovigilance: lessons from IMI WEB-RADR J van Stekelenborg, J Ellenius, S Maskell, T Bergvall, O Caster, ... Drug Safety 42, 1393-1407, 2019 | 93 | 2019 |
| A rao-blackwellised unscented Kalman filter M Briers, SR Maskell, R Wright Sixth International Conference of Information Fusion, 2003. Proceedings of …, 2003 | 75 | 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 | 75 | 2002 |
| A Bayesian approach to fusing uncertain, imprecise and conflicting information S Maskell Information Fusion 9 (2), 259-277, 2008 | 72 | 2008 |
| Assessment of the utility of social media for broad-ranging statistical signal detection in pharmacovigilance: results from the WEB-RADR project O Caster, J Dietrich, ML Kürzinger, M Lerch, S Maskell, GN Norén, ... Drug safety 41, 1355-1369, 2018 | 65 | 2018 |
| Recommendations on the use of mobile applications for the collection and communication of pharmaceutical product safety information: lessons from IMI WEB-RADR CE Pierce, ST de Vries, S Bodin-Parssinen, L Härmark, P Tregunno, ... Drug safety 42, 477-489, 2019 | 59 | 2019 |
| Efficient particle-based track-before-detect in Rayleigh noise MG Rutten, NJ Gordon, S Maskell International Conference on Information Fusion, 693-700, 2004 | 58 | 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 | 57 | 2002 |
| 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 | 56 | 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 | 55 | 2006 |
