Daniel Birks

889 total citations
30 papers, 458 citations indexed

About

Daniel Birks is a scholar working on Sociology and Political Science, Political Science and International Relations and Information Systems. According to data from OpenAlex, Daniel Birks has authored 30 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 7 papers in Political Science and International Relations and 6 papers in Information Systems. Recurrent topics in Daniel Birks's work include Crime Patterns and Interventions (20 papers), Crime, Illicit Activities, and Governance (13 papers) and Policing Practices and Perceptions (6 papers). Daniel Birks is often cited by papers focused on Crime Patterns and Interventions (20 papers), Crime, Illicit Activities, and Governance (13 papers) and Policing Practices and Perceptions (6 papers). Daniel Birks collaborates with scholars based in United Kingdom, Australia and Netherlands. Daniel Birks's co-authors include Michael Townsley, Anna Stewart, Shane D. Johnson, Stijn Ruiter, Wim Bernasco, T. Davies, Gentry White, Kate Bowers, Joseph Clare and Graham Farrell and has published in prestigious journals such as Criminology, Environmental Modelling & Software and Applied Sciences.

In The Last Decade

Daniel Birks

29 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Birks United Kingdom	12	353	73	47	45	45	30	458
Tarah Hodgkinson Canada	14	421 1.2×	51 0.7×	72 1.5×	56 1.2×	32 0.7×	41	528
Rachel Armitage United Kingdom	15	439 1.2×	47 0.6×	56 1.2×	26 0.6×	72 1.6×	56	629
Gian Maria Campedelli Italy	11	383 1.1×	50 0.7×	40 0.9×	54 1.2×	18 0.4×	30	483
YongJei Lee United States	10	355 1.0×	34 0.5×	60 1.3×	44 1.0×	27 0.6×	22	398
Lucía Summers United States	10	498 1.4×	47 0.6×	71 1.5×	95 2.1×	52 1.2×	24	572
Paul Ekblom United Kingdom	12	419 1.2×	44 0.6×	65 1.4×	22 0.5×	25 0.6×	36	522
Andrew Newton United Kingdom	13	366 1.0×	32 0.4×	57 1.2×	66 1.5×	68 1.5×	37	477
Alberto Aziani Italy	10	390 1.1×	39 0.5×	48 1.0×	81 1.8×	17 0.4×	38	479
O SooHyun United States	8	274 0.8×	32 0.4×	48 1.0×	32 0.7×	21 0.5×	16	304
Matthew P J Ashby United Kingdom	11	520 1.5×	70 1.0×	73 1.6×	83 1.8×	40 0.9×	23	720

Countries citing papers authored by Daniel Birks

Since Specialization

Citations

This map shows the geographic impact of Daniel Birks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Birks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Birks more than expected).

Fields of papers citing papers by Daniel Birks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Birks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Birks. The network helps show where Daniel Birks may publish in the future.

Co-authorship network of co-authors of Daniel Birks

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Birks. A scholar is included among the top collaborators of Daniel Birks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Birks. Daniel Birks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Birks, Daniel, Elizabeth R. Groff, & Nick Malleson. (2025). Agent-Based Modeling in Criminology. 8(1). 75–95. 2 indexed citations

Bowers, Kate, et al.. (2024). Size isn't everything: Understanding the relationship between police workforce and crime problems. Journal of Criminal Justice. 95. 102291–102291. 1 indexed citations

Birks, Daniel, et al.. (2024). Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models. Computers Environment and Urban Systems. 112. 102141–102141. 2 indexed citations

Birks, Daniel, et al.. (2023). Supporting crime script analyses of scams with natural language processing. Crime Science. 12(1). 7 indexed citations

Birks, Daniel & Joseph Clare. (2023). Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks. International Journal for Educational Integrity. 19(1). 20 indexed citations

Birks, Daniel, Bruce Edmonds, Alison Heppenstall, et al.. (2023). What do you want theory for? - A pragmatic analysis of the roles of “theory” in agent-based modelling. Environmental Modelling & Software. 168. 105802–105802. 8 indexed citations

Bowers, Kate, et al.. (2020). Understanding the concept of ‘demand’ in policing: a scoping review and resulting implications for demand management. Policing & Society. 31(8). 895–918. 29 indexed citations

Farrell, Graham & Daniel Birks. (2020). Further rejection of the cybercrime hypothesis. Crime Science. 9(1). 1 indexed citations

Birks, Daniel, et al.. (2020). Unsupervised identification of crime problems from police free-text data. Crime Science. 9(1). 15 indexed citations

10.

Farrell, Graham & Daniel Birks. (2018). Did cybercrime cause the crime drop?. Crime Science. 7(1). 8–8. 17 indexed citations

11.

Birks, Daniel & T. Davies. (2017). STREET NETWORK STRUCTURE AND CRIME RISK: AN AGENT‐BASED INVESTIGATION OF THE ENCOUNTER AND ENCLOSURE HYPOTHESES. Criminology. 55(4). 900–937. 33 indexed citations

12.

Clare, Joseph, et al.. (2017). Patterns of Police, Fire, and Ambulance Calls-for-Service: Scanning the Spatio-Temporal Intersection of Emergency Service Problems. Policing A Journal of Policy and Practice. 13(3). 286–299. 6 indexed citations

13.

Townsley, Michael, et al.. (2015). Burglar Target Selection: A Cross-national Comparison. QUT ePrints (Queensland University of Technology). 3 indexed citations

14.

Birks, Daniel, Michael Townsley, & Anna Stewart. (2013). Emergent Regularities of Interpersonal Victimization. Journal of Research in Crime and Delinquency. 51(1). 119–140. 14 indexed citations

15.

Birks, Daniel, Michael Townsley, & Anna Stewart. (2012). GENERATIVE EXPLANATIONS OF CRIME: USING SIMULATION TO TEST CRIMINOLOGICAL THEORY*. Criminology. 50(1). 221–254. 71 indexed citations

16.

Allard, Troy, et al.. (2010). Police diversion of young offenders and Indigenous over-representation. Australian Institute of Criminology eBooks. 38 indexed citations

17.

Allard, Troy, et al.. (2010). The Use and Impact of Police Diversion for Reducing Indigenous Over-Representation. Griffith Research Online (Griffith University, Queensland, Australia). 1(1). 1–85. 9 indexed citations

18.

Birks, Daniel, et al.. (2008). Research on target: A collaboration between researchers and practitioners for a target hardening scheme. International Review of Law Computers & Technology. 22(1-2). 181–189. 6 indexed citations

19.

Johnson, Samson A., et al.. (2007). Prospective Mapping in Operational Context. UCL Discovery (University College London). 10 indexed citations

20.

Johnson, Shane D., et al.. (2007). Police Perceptions of the Long- and Short-Term Spatial Distribution of Residential Burglary. International Journal of Police Science & Management. 9(2). 99–111. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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