Shane D. Johnson

7.2k total citations · 1 hit paper
142 papers, 4.6k citations indexed

About

Shane D. Johnson is a scholar working on Sociology and Political Science, Nature and Landscape Conservation and Information Systems. According to data from OpenAlex, Shane D. Johnson has authored 142 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Sociology and Political Science, 19 papers in Nature and Landscape Conservation and 19 papers in Information Systems. Recurrent topics in Shane D. Johnson's work include Crime Patterns and Interventions (78 papers), Crime, Illicit Activities, and Governance (44 papers) and Wildlife Conservation and Criminology Analyses (19 papers). Shane D. Johnson is often cited by papers focused on Crime Patterns and Interventions (78 papers), Crime, Illicit Activities, and Governance (44 papers) and Wildlife Conservation and Criminology Analyses (19 papers). Shane D. Johnson collaborates with scholars based in United Kingdom, Australia and United States. Shane D. Johnson's co-authors include Kate Bowers, Lucía Summers, T. Davies, Alex Braithwaite, Nick Tilley, Michael Townsley, Jerry H. Ratcliffe, Rob T. Guerette, Wim Bernasco and Ken Pease and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shane D. Johnson

134 papers receiving 4.3k 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
Shane D. Johnson United Kingdom 38 3.5k 615 561 433 392 142 4.6k
Kate Bowers United Kingdom 31 3.2k 0.9× 611 1.0× 536 1.0× 314 0.7× 239 0.6× 95 3.8k
Wim Bernasco Netherlands 37 4.0k 1.1× 697 1.1× 586 1.0× 396 0.9× 217 0.6× 120 4.5k
Jerry H. Ratcliffe United States 40 4.1k 1.2× 1.1k 1.7× 536 1.0× 381 0.9× 302 0.8× 95 5.1k
Elizabeth R. Groff United States 31 3.3k 1.0× 573 0.9× 487 0.9× 278 0.6× 285 0.7× 60 3.7k
John E. Eck United States 31 3.6k 1.0× 402 0.7× 591 1.1× 242 0.6× 157 0.4× 90 4.1k
Ronald V. Clarke United States 32 5.3k 1.5× 452 0.7× 1.4k 2.4× 314 0.7× 221 0.6× 95 6.8k
George Tita United States 29 2.6k 0.8× 406 0.7× 194 0.3× 233 0.5× 244 0.6× 74 3.7k
Marcus Felson United States 30 8.5k 2.5× 930 1.5× 1.4k 2.5× 388 0.9× 303 0.8× 86 10.1k
David Canter United Kingdom 39 3.2k 0.9× 331 0.5× 267 0.5× 153 0.4× 148 0.4× 167 5.4k
Lawrence E. Cohen United States 25 8.1k 2.3× 791 1.3× 1.2k 2.1× 258 0.6× 225 0.6× 39 9.4k

Countries citing papers authored by Shane D. Johnson

Since Specialization
Citations

This map shows the geographic impact of Shane D. Johnson'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 Shane D. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane D. Johnson more than expected).

Fields of papers citing papers by Shane D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane D. Johnson. 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 Shane D. Johnson. The network helps show where Shane D. Johnson may publish in the future.

Co-authorship network of co-authors of Shane D. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Shane D. Johnson. A scholar is included among the top collaborators of Shane D. Johnson 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 Shane D. Johnson. Shane D. Johnson 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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Manning, Matthew, et al.. (2024). Opportunities to future crime: Scoping the future of money laundering and terrorist financing through cryptoassets. Technological Forecasting and Social Change. 210. 123894–123894. 6 indexed citations
3.
Johnson, Shane D., et al.. (2024). Motivating a standardised approach to financial intelligence: a typological scoping review of money laundering methods and trends. Journal of Experimental Criminology. 21(4). 1367–1413. 2 indexed citations
4.
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Kleinberg, Bennett, et al.. (2023). Counterfeits on dark markets: a measurement between Jan-2014 and Sep-2015. Crime Science. 12(1). 3 indexed citations
6.
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Johnson, Shane D., et al.. (2022). The Effect of COVID-19 Restrictions on Routine Activities and Online Crime. Journal of Quantitative Criminology. 40(1). 131–150. 22 indexed citations
8.
Bowers, Kate, et al.. (2021). The effect of GPS refresh rate on measuring police patrol in micro-places. Crime Science. 10(1). 5 indexed citations
9.
Borrion, Hervé, et al.. (2021). Systematic review of situational prevention methods for crime against species. Crime Science. 10(1). 15 indexed citations
10.
Tompson, Lisa, Jyoti Belur, Amy Thornton, et al.. (2020). How Strong is the Evidence-Base for Crime Reduction Professionals?. 4(1). 68–97. 10 indexed citations
11.
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
12.
Nesbeth, Darren, et al.. (2020). A Systematic Review of the Criminogenic Potential of Synthetic Biology and Routes to Future Crime Prevention. Frontiers in Bioengineering and Biotechnology. 8. 571672–571672. 12 indexed citations
13.
Johnson, Shane D., John M. Blythe, Matthew Manning, & Gabriel T. W. Wong. (2020). The impact of IoT security labelling on consumer product choice and willingness to pay. PLoS ONE. 15(1). e0227800–e0227800. 33 indexed citations
14.
Nesbeth, Darren, et al.. (2020). A systematic review protocol for crime trends facilitated by synthetic biology. Systematic Reviews. 9(1). 22–22. 7 indexed citations
15.
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
16.
Townsley, Michael, et al.. (2015). Burglar Target Selection: A Cross-national Comparison. QUT ePrints (Queensland University of Technology). 3 indexed citations
17.
Johnson, Shane D., Rob T. Guerette, & Kate Bowers. (2012). Crime Displacement and Diffusion of Benefits. Oxford University Press eBooks. 23 indexed citations
18.
Bowers, Kate, Shane D. Johnson, Rob T. Guerette, Lucía Summers, & Suzanne Poynton. (2011). SPATIAL DISPLACEMENT AND DIFFUSION OF BENEFITS AMONG GEOGRAPHICALLY FOCUSED POLICING INITIATIVES. Campbell Systematic Reviews. 7(1). 1–144. 42 indexed citations
19.
Farrell, Graham, Kate Bowers, Shane D. Johnson, & Michael Townsley. (2007). Imagination for Crime Prevention: Essays in Honor of Ken Pease, Crime Prevention Studies. Griffith Research Online (Griffith University, Queensland, Australia). 21. 4 indexed citations
20.
Kebbell, Mark R., et al.. (2002). The Influence of Belief That a Car Crashed on Witnesses' Estimates of Civilian and Police Car Speed. The Journal of Psychology. 136(6). 597–607. 3 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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