| CUSUM charts for signalling varying location shifts RS Sparks Journal of Quality Technology 32 (2), 157-171, 2000 | 306 | 2000 |
| Cross-target stance classification with self-attention networks C Xu, C Paris, S Nepal, R Sparks arXiv preprint arXiv:1805.06593, 2018 | 150 | 2018 |
| An overview and perspective on social network monitoring WH Woodall, MJ Zhao, K Paynabar, R Sparks, JD Wilson IISE Transactions 49 (3), 354-365, 2017 | 141 | 2017 |
| Mining risk patterns in medical data J Li, AW Fu, H He, J Chen, H Jin, D McAullay, G Williams, R Sparks, ... Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 121 | 2005 |
| Neuropsychological abnormalities in patients with pituitary tumours PJ Grattan‐Smith, JGL Morris, EA Shores, J Batchelor, RS Sparks Acta Neurologica Scandinavica 86 (6), 626-631, 1992 | 110 | 1992 |
| Home telemonitoring of vital signs—technical challenges and future directions BG Celler, RS Sparks IEEE journal of biomedical and health informatics 19 (1), 82-91, 2014 | 90 | 2014 |
| The multivariate modelling and prediction of farmers' conservation behaviour towards natural ecosystems. C McDowell, R Sparks | 69 | 1989 |
| Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics® R Sparks, C Carter, JB Donnelly, CM O’Keefe, J Duncan, T Keighley, ... Computer methods and programs in biomedicine 91 (3), 208-222, 2008 | 63 | 2008 |
| Understanding sources of variation in syndromic surveillance for early warning of natural or intentional disease outbreaks R Sparks, C Carter, P Graham, D Muscatello, T Churches, J Kaldor, ... IIE Transactions 42 (9), 613-631, 2010 | 60 | 2010 |
| The multivariate Cp RS Sparks, D Coutsourides, L Troskie Communications in Statistics-Theory and Methods 12 (15), 1775-1793, 1983 | 58 | 1983 |
| Patching rainfall data using regression methods.: 1. Best subset selection, EM and pseudo-EM methods: theory T Makhuvha, G Pegram, R Sparks, W Zucchini Journal of Hydrology 198 (1-4), 289-307, 1997 | 55 | 1997 |
| Multivariate process monitoring using the dynamic biplot R Sparks, A Adolphson, A Phatak International Statistical Review 65 (3), 325-349, 1997 | 54 | 1997 |
| Prediction and surveillance of influenza epidemics JR Boyle, RS Sparks, GB Keijzers, JL Crilly, JF Lind, LM Ryan Medical journal of Australia 194, S28-S33, 2011 | 51 | 2011 |
| Quality control with multivariate data RS Sparks Australian journal of Statistics 34 (3), 375-390, 1992 | 49 | 1992 |
| Early warning CUSUM plans for surveillance of negative binomial daily disease counts RS Sparks, T Keighley, D Muscatello Journal of Applied Statistics 37 (11), 1911-1929, 2010 | 47 | 2010 |
| Survey of text-based epidemic intelligence: A computational linguistics perspective A Joshi, S Karimi, R Sparks, C Paris, CR Macintyre ACM Computing Surveys (CSUR) 52 (6), 1-19, 2019 | 43 | 2019 |
| Harnessing tweets for early detection of an acute disease event A Joshi, R Sparks, J McHugh, S Karimi, C Paris, CR MacIntyre Epidemiology 31 (1), 90-97, 2020 | 42 | 2020 |
| A delivery framework for health data mining and analytics D McAullay, G Williams, J Chen, H Jin, H He, R Sparks, C Kelman Proceedings of the Twenty-eighth Australasian conference on Computer Science …, 2005 | 41 | 2005 |
| Automated monitoring of tweets for early detection of the 2014 Ebola epidemic A Joshi, R Sparks, S Karimi, SLJ Yan, AA Chughtai, C Paris, ... PloS one 15 (3), e0230322, 2020 | 40 | 2020 |
| Impact of at-home telemonitoring on health services expenditure and hospital admissions in patients with chronic conditions: before and after control intervention analysis B Celler, M Varnfield, S Nepal, R Sparks, J Li, R Jayasena JMIR medical informatics 5 (3), e7308, 2017 | 39 | 2017 |
