Countries citing papers authored by Suzanne Poynton
Since
Specialization
Citations
This map shows the geographic impact of Suzanne Poynton'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 Suzanne Poynton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Poynton more than expected).
This network shows the impact of papers produced by Suzanne Poynton. 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 Suzanne Poynton. The network helps show where Suzanne Poynton may publish in the future.
Co-authorship network of co-authors of Suzanne Poynton
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Poynton.
A scholar is included among the top collaborators of Suzanne Poynton 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 Suzanne Poynton. Suzanne Poynton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Poynton, Suzanne, et al.. (2018). Assessing the impact of NSW’s Safer Pathway Program on recorded crime outcomes – an aggregate-level analysis. 23.1 indexed citations
3.
Poynton, Suzanne, et al.. (2017). Intensive correction orders versus short prison sentence: a comparison of re-offending. 20.2 indexed citations
4.
Poynton, Suzanne, et al.. (2017). Evaluation of the 2015 Domestic Violence Evidence-in-Chief (DVEC) reforms. 16.4 indexed citations
5.
Poynton, Suzanne, et al.. (2016). NSW Intensive Drug and Alcohol Treatment Program (IDATP) and recidivism: An early look at outcomes for referrals, The. 20.3 indexed citations
6.
Stavrou, Efty, Suzanne Poynton, & Don Weatherburn. (2016). Parole release authority and re-offending. 12.
7.
Trevena, Judy & Suzanne Poynton. (2016). Does a prison sentence affect future domestic violence reoffending. 12.3 indexed citations
8.
Ringland, Clare, Don Weatherburn, & Suzanne Poynton. (2016). Can child protection data improve the prediction of re-offending in young persons?. 20.3 indexed citations
9.
Stavrou, Efty & Suzanne Poynton. (2016). Revised Group Risk Assessment Model (GRAM 2): Assessing risk of reoffending among adults given non-custodial sanctions, The. 16.3 indexed citations
10.
Stavrou, Efty, Suzanne Poynton, & Don Weatherburn. (2016). Intimate partner violence against women in Australia: related factors and help-seeking behaviours. 16.3 indexed citations
11.
Poynton, Suzanne & Patricia Menéndez. (2015). Impact of the NSW Intensive Supervision Program on recidivism, The. 16.1 indexed citations
Donnelly, Neil, et al.. (2013). Does CREDIT reduce the risk of re-offending?. 16.1 indexed citations
14.
Poynton, Suzanne. (2013). Rates of recidivism among offenders referred to Forum Sentencing. 15.4 indexed citations
15.
Guerette, Rob T., et al.. (2011). Campbell Collaboration Systematic Review: Spatial displacement and diffusion of benefits among geographically focused policing initiatives. UCL Discovery (University College London).2 indexed citations
Poynton, Suzanne, et al.. (2007). Deterrent Effect of Higher Fines on Recidivism: Driving Offences, The. 15.12 indexed citations
18.
Poynton, Suzanne, et al.. (2006). Firearms and Violent Crime in New South Wales, 1995-2005. 8.5 indexed citations
19.
Baker, Joanne, et al.. (2006). Generation Y and Crime: A Longitudinal Study of Contact with NSW Criminal Courts before the Age of 21. 12.4 indexed citations
20.
Poynton, Suzanne, et al.. (2006). Long-term Trends in Property and Violent Crime in New South Wales: 1990-2004. 8.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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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.