| Generative explanations of crime: Using simulation to test criminological theory D Birks, M Townsley, A Stewart Criminology 50 (1), 221-254, 2012 | 164 | 2012 |
| Predictive mapping of crime by ProMap: Accuracy, units of analysis, and the environmental backcloth SD Johnson, KJ Bowers, DJ Birks, K Pease Putting crime in its place: Units of analysis in geographic criminology, 171-198, 2009 | 146 | 2009 |
| Prospective mapping in operational context S Johnson, D Birks, L McLaughlin, K Bowers, K Pease Home Office, 2007 | 114 | 2007 |
| Burglar target selection: a cross-national comparison M Townsley, D Birks, W Bernasco, S Ruiter, SD Johnson, G White, ... Journal of Research in Crime and Delinquency 52 (1), 3-31, 2015 | 112 | 2015 |
| Police diversion of young offenders and Indigenous over-representation T Allard, A Stewart, A Chrzanowski, J Ogilvie, D Birks, S Little Trends and issues in crime and criminal justice, 1-6, 2010 | 80 | 2010 |
| Simulating crime event decision making: agent-based social simulations in criminology D Birks | 78 | 2017 |
| Target selection models with preference variation between offenders M Townsley, D Birks, S Ruiter, W Bernasco, G White Journal of Quantitative Criminology 32, 283-304, 2016 | 77 | 2016 |
| Street network structure and crime risk: An agent‐based investigation of the encounter and enclosure hypotheses D Birks, T Davies Criminology 55 (4), 900-937, 2017 | 57 | 2017 |
| Police perceptions of the long-and short-term spatial distribution of residential burglary LM McLaughlin, SD Johnson, KJ Bowers, DJ Birks, K Pease International Journal of Police Science & Management 9 (2), 99-111, 2007 | 54 | 2007 |
| Understanding the concept of ‘demand’in policing: a scoping review and resulting implications for demand management J Laufs, K Bowers, D Birks, SD Johnson Policing and society 31 (8), 895-918, 2021 | 43 | 2021 |
| Synthesis over analysis: Towards an ontology for volume crime simulation DJ Birks, S Donkin, M Wellsmith Artificial crime analysis systems: Using computer simulations and geographic …, 2008 | 43 | 2008 |
| Simulating crime prevention strategies: A look at the possibilities E Groff, D Birks Policing: A journal of Policy and Practice 2 (2), 175-184, 2008 | 42 | 2008 |
| Did cybercrime cause the crime drop? G Farrell, D Birks Crime Science 7 (1), 8, 2018 | 41 | 2018 |
| Emergent regularities of interpersonal victimization: An agent-based investigation D Birks, M Townsley, A Stewart Journal of Research in Crime and Delinquency 51 (1), 119-140, 2014 | 35 | 2014 |
| Building better crime simulations: systematic replication and the introduction of incremental complexity M Townsley, DJ Birks Journal of Experimental Criminology 4, 309-333, 2008 | 33 | 2008 |
| Unsupervised identification of crime problems from police free-text data D Birks, A Coleman, D Jackson Crime Science 9 (1), 18, 2020 | 23 | 2020 |
| The use and impact of police diversion for reducing Indigenous over-representation T Allard, A Stewart, A Chrzanowski, J Ogilvie, D Birks, S Little Criminology Research Council. Retrieved from http://www …, 2009 | 16 | 2009 |
| Victims and offenders of night-time economy violence S Donkin, D Birks UCL Jill Dando Institute of Crime Science, 2007 | 14 | 2007 |
| Research on target: A collaboration between researchers and practitioners for a target hardening scheme M Wellsmith, DJ Birks International Review of Law, Computers & Technology 22 (1-2), 181-189, 2008 | 11 | 2008 |
| Towards the development of societal twins D Birks, A Heppenstall, N Malleson ECAI 2020, 2883-2884, 2020 | 10 | 2020 |
Shane D JohnsonProfessor Security and Crime Science, University College LondonVerified email at ucl.ac.uk
