| Testing the stability of crime patterns: Implications for theory and policy MA Andresen, N Malleson Journal of Research in Crime and Delinquency 48 (1), 58-82, 2011 | 307 | 2011 |
| Crime seasonality and its variations across space MA Andresen, N Malleson Applied Geography 43, 25-35, 2013 | 194 | 2013 |
| The impact of using social media data in crime rate calculations: Shifting hot spots and changing spatial patterns N Malleson, MA Andresen Cartography and Geographic Information Science 42 (2), 112-121, 2015 | 193 | 2015 |
| Crime reduction through simulation: An agent-based model of burglary N Malleson, A Heppenstall, L See Computers, environment and urban systems 34 (3), 236-250, 2010 | 183 | 2010 |
| Crime and coronavirus: Social distancing, lockdown, and the mobility elasticity of crime E Halford, A Dixon, G Farrell, N Malleson, N Tilley Crime science 9 (1), 1-12, 2020 | 147 | 2020 |
| Spatio-temporal crime hotspots and the ambient population N Malleson, MA Andresen Crime science 4, 1-8, 2015 | 141 | 2015 |
| Exploring the impact of ambient population measures on London crime hotspots N Malleson, MA Andresen Journal of Criminal Justice 46, 52-63, 2016 | 130 | 2016 |
| Crime at places and spatial concentrations: Exploring the spatial stability of property crime in Vancouver BC, 2003–2013 MA Andresen, SJ Linning, N Malleson Journal of quantitative criminology 33, 255-275, 2017 | 117 | 2017 |
| “Space, the final frontier”: How good are agent-based models at simulating individuals and space in cities? A Heppenstall, N Malleson, A Crooks Systems 4 (1), 9, 2016 | 100 | 2016 |
| Dynamic calibration of agent-based models using data assimilation JA Ward, AJ Evans, NS Malleson Royal Society open science 3 (4), 150703, 2016 | 87 | 2016 |
| Intra-week spatial-temporal patterns of crime MA Andresen, N Malleson Crime Science 4 (1), 1-11, 2015 | 79 | 2015 |
| Agent-based modelling and geographical information systems: a practical primer A Crooks, N Malleson, E Manley, A Heppenstall Sage, 2018 | 76 | 2018 |
| Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk N Malleson, A Heppenstall, L See, A Evans Environment and Planning B: Planning and Design 40 (3), 405-426, 2013 | 69 | 2013 |
| Analysis of crime patterns through the integration of an agent-based model and a population microsimulation N Malleson, M Birkin Computers, Environment and Urban Systems 36 (6), 551-561, 2012 | 66 | 2012 |
| Probabilistic spatial risk assessment of heat impacts and adaptations for London K Jenkins, J Hall, V Glenis, C Kilsby, M McCarthy, C Goodess, D Smith, ... Climatic change 124, 105-117, 2014 | 63 | 2014 |
| Police foot patrol and crime displacement: A local analysis MA Andresen, N Malleson Journal of Contemporary Criminal Justice 30 (2), 186-199, 2014 | 62 | 2014 |
| Spatial heterogeneity in crime analysis MA Andresen, N Malleson Crime modeling and mapping using geospatial technologies, 3-23, 2013 | 57 | 2013 |
| Implementing comprehensive offender behaviour in a realistic agent-based model of burglary N Malleson, L See, A Evans, A Heppenstall Simulation 88 (1), 50-71, 2012 | 56 | 2012 |
| An agent-based model of burglary N Malleson, A Evans, T Jenkins Environment and Planning B: Planning and Design 36 (6), 1103-1123, 2009 | 55 | 2009 |
| Assessing the long-term performance of cross-sectoral strategies for national infrastructure JW Hall, JJ Henriques, AJ Hickford, RJ Nicholls, P Baruah, M Birkin, ... Journal of Infrastructure Systems 20 (3), 04014014, 2014 | 52 | 2014 |
Alison HeppenstallProfessor in Geocomputation, University of GlasgowVerified email at glasgow.ac.uk
