T. Davies

9.7k total citations · 1 hit paper
34 papers, 773 citations indexed

About

T. Davies is a scholar working on Sociology and Political Science, Artificial Intelligence and Nature and Landscape Conservation. According to data from OpenAlex, T. Davies has authored 34 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 5 papers in Artificial Intelligence and 4 papers in Nature and Landscape Conservation. Recurrent topics in T. Davies's work include Crime Patterns and Interventions (18 papers), Crime, Illicit Activities, and Governance (13 papers) and Wildlife Conservation and Criminology Analyses (4 papers). T. Davies is often cited by papers focused on Crime Patterns and Interventions (18 papers), Crime, Illicit Activities, and Governance (13 papers) and Wildlife Conservation and Criminology Analyses (4 papers). T. Davies collaborates with scholars based in United Kingdom, Netherlands and Australia. T. Davies's co-authors include Shane D. Johnson, Kate Bowers, Steven R. Bishop, R J Fulton, Kerry G. Oliver, Don J. Chandler, John R. Kettman, Hannah Fry, Alan Wilson and Bennett Kleinberg and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

T. Davies

31 papers receiving 746 citations

Hit Papers

Cryptocurrencies and future financial crime 2022 2026 2023 2024 2022 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cryptocurrencies and future financial crime
    2022 83 citations Bennett Kleinberg, T. Davies et al. Crime Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Davies United Kingdom 14 409 99 90 84 75 34 773
Alessandro Chessa Italy 19 92 0.2× 52 0.5× 218 2.4× 56 0.7× 21 0.3× 47 1.2k
Camille Roth France 15 167 0.4× 92 0.9× 291 3.2× 56 0.7× 35 0.5× 55 917
Xiao-Pu Han China 15 123 0.3× 35 0.4× 296 3.3× 36 0.4× 46 0.6× 44 851
Riccardo Gallotti Italy 15 335 0.8× 61 0.6× 423 4.7× 36 0.4× 78 1.0× 41 1.2k
Benjamin Adams New Zealand 15 74 0.2× 77 0.8× 200 2.2× 56 0.7× 67 0.9× 53 746
Sebastian Schutte Germany 13 521 1.3× 34 0.3× 80 0.9× 15 0.2× 16 0.2× 24 1.1k
Peng Lü China 14 190 0.5× 15 0.2× 23 0.3× 34 0.4× 87 1.2× 72 647
Pierre Deville Belgium 6 145 0.4× 127 1.3× 553 6.1× 53 0.6× 114 1.5× 9 1.4k
Lingyao Li United States 16 133 0.3× 48 0.5× 30 0.3× 60 0.7× 18 0.2× 43 695

Countries citing papers authored by T. Davies

Since Specialization
Citations

This map shows the geographic impact of T. Davies'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 T. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Davies more than expected).

Fields of papers citing papers by T. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Davies. 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 T. Davies. The network helps show where T. Davies may publish in the future.

Co-authorship network of co-authors of T. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of T. Davies. A scholar is included among the top collaborators of T. Davies 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 T. Davies. T. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Kleinberg, Bennett, et al.. (2024). Detecting DeFi securities violations from token smart contract code. Financial Innovation. 10(1). 3 indexed citations
3.
Farrell, Graham & T. Davies. (2024). A schedule for phasing-out knife crime. Crime Science. 13(1). 1 indexed citations
4.
Vries, Ieke de & T. Davies. (2024). Understanding the role of street network configurations in the placement of illegitimately operating facilities. Criminology. 62(3). 412–453. 1 indexed citations
5.
Davies, T., et al.. (2024). Large language models in cryptocurrency securities cases: can a GPT model meaningfully assist lawyers?. Artificial Intelligence and Law. 33(3). 691–737. 4 indexed citations
6.
Davies, T., et al.. (2024). Exploring criminal specialisation in co-offending groups. Global Crime. 25(3-4). 197–219. 1 indexed citations
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Davies, T., et al.. (2023). Warning: Humans cannot reliably detect speech deepfakes. PLoS ONE. 18(8). e0285333–e0285333. 27 indexed citations
10.
Kleinberg, Bennett, et al.. (2022). Cryptocurrencies and future financial crime. Crime Science. 11(1). 1–1. 83 indexed citations breakdown →
11.
Cartes, Carlos, et al.. (2020). The anatomy of the 2019 Chilean social unrest. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(7). 73129–73129. 14 indexed citations
12.
Davies, T. & Kate Bowers. (2019). Patterns in the supply and demand of urban policing at the street segment level. Policing & Society. 30(7). 795–817. 16 indexed citations
13.
Davies, T. & Kate Bowers. (2018). Street Networks and Crime. Oxford University Press eBooks. 3 indexed citations
14.
Rosser, Gabriel, T. Davies, Kate Bowers, Shane D. Johnson, & Tao Cheng. (2016). Predictive Crime Mapping: Arbitrary Grids or Street Networks?. Journal of Quantitative Criminology. 33(3). 569–594. 102 indexed citations
15.
Davies, T., et al.. (2015). Event Networks and the Identification of Crime Pattern Motifs. PLoS ONE. 10(11). e0143638–e0143638. 13 indexed citations
16.
Fry, Hannah, et al.. (2015). A dynamic spatial model of conflict escalation. European Journal of Applied Mathematics. 27(3). 530–553. 3 indexed citations
17.
Davies, T. & Shane D. Johnson. (2014). Examining the Relationship Between Road Structure and Burglary Risk Via Quantitative Network Analysis. Journal of Quantitative Criminology. 31(3). 481–507. 134 indexed citations
18.
Davies, T., Adrian R. Pearce, Peter J. Stuckey, & Harald Søndergaard. (2014). Fragment-Based Planning Using Column Generation. Proceedings of the International Conference on Automated Planning and Scheduling. 24. 83–91. 2 indexed citations
19.
Davies, T., Hannah Fry, Alan Wilson, & Steven R. Bishop. (2013). A mathematical model of the London riots and their policing. Scientific Reports. 3(1). 1303–1303. 70 indexed citations
20.
Klauke, Norbert, et al.. (2007). Spectroscopic Probing of Dynamic Changes during Stimulation and Cell Remodeling in the Single Cardiac Myocyte. Analytical Chemistry. 79(12). 4581–4587. 13 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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