Dr Vincent Knight

2020

• Shone, R., Knight, V. A. and Harper, P. R. 2020. A conservative index heuristic for routing problems with multiple heterogeneous service facilities. Mathematical Methods of Operations Research (10.1007/s00186-020-00722-w)
• Wilde, H., Knight, V. and Gillard, J. 2020. Evolutionary dataset optimisation: learning algorithm quality through evolution. Applied Intelligence 50, pp. 1172-1191. (10.1007/s10489-019-01592-4)

2019

• Palmer, G. I.et al. 2019. Ciw: An open-source discrete event simulation library. Journal of Simulation 13(1), pp. 68-82. (10.1080/17477778.2018.1473909)
• Morgan, J.et al. 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70(9), pp. 1425-1439. (10.1080/01605682.2018.1506559)

2018

• Glynatsi, N. E., Knight, V. and Lee, T. E. 2018. An evolutionary game theoretic model of rhino horn devaluation. Ecological Modelling 389, pp. 33-40. (10.1016/j.ecolmodel.2018.10.003)
• Knight, V. and Campbell, J. 2018. Nashpy: A Python library for the computation of Nash equilibria. Journal of Open Source Software 3(30), article number: 904. (10.21105/joss.00904)
• Palmer, G. I., Harper, P. R. and Knight, V. A. 2018. Modelling deadlock in open restricted queueing networks. European Journal of Operational Research 266(2), pp. 609-621. (10.1016/j.ejor.2017.10.039)
• Fetta, A.et al. 2018. Predicting adolescent social networks to stop smoking in secondary schools. European Journal of Operational Research 265(1), pp. 263-276. (10.1016/j.ejor.2017.07.039)

2017

• Harper, M.et al. 2017. Reinforcement learning produces dominant strategies for the Iterated Prisoner's Dilemma. Plos One 12(12), article number: e0188046. (10.1371/journal.pone.0188046)
• Vile, J. L.et al. 2017. A queueing theoretic approach to set staffing levels in time-dependent dual-class service systems. Decision Sciences 48(4), pp. 766-794. (10.1111/deci.12236)
• Knight, V., Komenda, I. and Griffiths, J. 2017. Measuring the price of anarchy in critical care unit interactions. Journal of the Operational Research Society 68(6), pp. 630-642. (10.1057/s41274-016-0100-8)
• Arzpayma, P.et al. 2017. Creation and assessment of a computerized modelling tool for optimizing planning of home and hospital-based phototherapy. British Journal of Dermatology 176(5), pp. 1390-1391. (10.1111/bjd.14994)

2016

• Shone, R.et al. 2016. Containment of socially optimal policies in multiple-facility Markovian queueing systems. Journal of the Operational Research Society 67, pp. 629-643. (10.1057/jors.2015.98)
• Vile, J. L.et al. 2016. Time-dependent stochastic methods for managing and scheduling Emergency Medical Services. Operations Research for Health Care 8, pp. 42-52. (10.1016/j.orhc.2015.07.002)
• Gillard, J. W.et al. 2016. Rostering staff at a mathematics support service using a finite-source queueing model. IMA Journal of Management Mathematics 27(2), pp. 201-209. (10.1093/imaman/dpu017)
• Knight, V. A.et al. 2016. An open framework for the reproducible study of the iterated prisoner's dilemma. Journal of Open Research Software 4(1), article number: e35. (10.5334/jors.125)

2015

• Putman, K.et al. 2015. Modelling of psoriasis patient flows for the reconfiguration of secondary care services and treatments. Health Systems (10.1057/hs.2015.4)
• Williams, J.et al. 2015. Mathematical modelling of patient flows to predict critical care capacity required following the merger of two district general hospitals into one. Anaesthesia 70(1), pp. 32-40. (10.1111/anae.12839)

2014

• Burnap, P.et al. 2014. Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack. Social Network Analysis and Mining 4, pp. -., article number: 206. (10.1007/s13278-014-0206-4)
• Gillard, J. W. and Knight, V. A. 2014. Using singular spectrum analysis to obtain staffing level requirements in emergency units. Journal of the Operational Research Society 65(5), pp. 735-746. (10.1057/jors.2013.41)

2013

• Knight, V. A. and Harper, P. R. 2013. Selfish routing in public services. European Journal of Operational Research 230(1), pp. 122-132. (10.1016/j.ejor.2013.04.003)
• Vile, J.et al. 2013. Integrating demand forecasting and workforce planning strategies for emergency medical services. Presented at: Operational Research Applied to Health Services (ORAHS), Istanbul, Turkey, July 2013.
• Shone, R. W., Knight, V. A. and Williams, J. E. 2013. Comparisons between observable and unobservable M/M/1 queues with respect to optimal customer behavior. European Journal of Operational Research 227(1), pp. 133-141. (10.1016/j.ejor.2012.12.016)
• Griffiths, J. D., Knight, V. A. and Komenda, I. 2013. Bed management in a critical care unit. IMA Journal of Management Mathematics 24(2), pp. 137-153. (10.1093/imaman/dpr028)
• Mustafee, N.et al. 2013. Cost-effective workforce planning: optimising the dental team skill-mix for England. Journal of Enterprise Information Management 26(1/2), pp. 91-108. (10.1108/17410391311289569)

2012

• Knight, V. A., Harper, P. R. and Smith, L. 2012. Ambulance allocation for maximal survival with heterogeneous outcome measures. OMEGA -The International Journal of Management Science. 40(6), pp. 918-926. (10.1016/j.omega.2012.02.003)
• Harper, P. R., Knight, V. A. and Marshall, A. H. 2012. Discrete conditional phase-type models utilising classification trees: application to modelling health service capacities. European Journal of Operational Research 219(3), pp. 522-530. (10.1016/j.ejor.2011.10.035)
• Knight, V. A., Williams, J. E. and Reynolds, I. T. 2012. Modelling patient choice in healthcare systems: development and application of a discrete event simulation with agent-based functionality. Journal of Simulation 6(2), pp. 92-102. (10.1057/jos.2011.21)
• Fetta, A. G.et al. 2012. On the Peter Principle: An agent based investigation into the consequential effects of social networks and behavioural factors. Physica A: Statistical Mechanics and its Applications 391(9), pp. 2898-2910. (10.1016/j.physa.2011.12.053)
• Knight, V. A. and Harper, P. R. 2012. Modelling emergency medical services with phase-type distributions. Health Systems 1(1), pp. 58-68. (10.1057/hs.2012.1)
• Bareš, R.et al. 2012. Simulating bed capacity: evaluating the impact of healthcare service transfers. Presented at: 14th International Conference on Modelling and Simulation, Cambridge, UK, 28-30 March 201214th International Conference on Modelling and Simulation. Los Alamitos, CA: IEEE pp. 358-362., (10.1109/UKSim.2012.59)
• Knight, V. A.et al. 2012. How efficient can an emergency unit be? A perfect world model. Emergency Medicine Journal (10.1136/emermed-2011-200101)
• Vile, J. L.et al. 2012. Predicting ambulance demand using singular spectrum analysis. Journal of the Operational Research Society 63, pp. 1556-1565. (10.1057/jors.2011.160)

2011

• Harper, P. R.et al. 2011. Operational research informing national health policy. Cardiff University.

2010

• Vile, J. L.et al. 2010. Forecasting Welsh ambulance demand using singular spectrum analysis. Presented at: 36th International ORAHS conference, Genova, Italy, 18-23 July 2010 Presented at Testi, A. ed.Operations Research for Patient-Centered Health Care Delivery: Proceedings of the XXXVI International ORAHS Conference. Economia Vol. 5. Milan: Franco Angeli pp. 196-208.

2009

• Knight, V. A. 2009. Alternating sign matrices and polytopes. PhD Thesis, Cardiff University.

2007

• Behrend, R. E. and Knight, V. A. 2007. Higher spin alternating sign matrices. Electronic Journal of Combinatorics 14(1), article number: R83.