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Tom Vander Beken

Researcher at Ghent University

Publications -  232
Citations -  1640

Tom Vander Beken is an academic researcher from Ghent University. The author has contributed to research in topics: Organised crime & Prison. The author has an hindex of 18, co-authored 222 publications receiving 1362 citations. Previous affiliations of Tom Vander Beken include Vrije Universiteit Brussel & Erasmus University Rotterdam.

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Should criminologists be feeling lucky!? Applying Google Maps and Google Street View in criminological research

TL;DR: In this article, the authors draw on the results of earlier studies in related fields and a handful of criminological studies to discuss how these online mapping applications can trigger new research questions, and how they could be considered a valuable methodological addition to criminology research.
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Big Boys Don't Cry: A Critical Interpretive Synthesis of Male Sexual Victimization.

TL;DR: The prevalence of male sexual victims and the causes that underlie the underrepresentation of this group in existing research and current policy are established by a critical interpretive synthesis of research papers, policy documents, and gray literature.
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Risky business: A risk-based methodology to measure organized crime

TL;DR: In this article, the authors describe the results of two studies on the development of a methodology to measure organized crime and present a concrete and knowledge-based framework for the drafting of annual reports on organized crime that can give better answers to questions like ‘Is there much organized crime? Is the situation serious? Is it bad that there are more criminal groups now than in the past? Which criminal groups are the most dangerous?’.
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Punishment at home: Offenders’ experiences with electronic monitoring:

TL;DR: As an increasingly popular alternative to prison sentences, electronic monitoring is assumed to generate fewer side effects and to be more humane than imprisonment as mentioned in this paper. But, while most research on electroni...
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A discrete spatial choice model of burglary target selection at the house-level

TL;DR: In this paper, the authors investigate how burglars select a target by relying on house-related attributes to optimize a combination of perceived rewards, efforts and risk, and show that terraced houses, houses without a garage, houses that have not been outfitted with a central heating and/or air conditioning system and houses nearby burglars' residences are more likely to be selected.