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On the page
Manne
Gerell
Associate Professor/Senior lecturer
manne.gerell@mau.se
+46 72 243 04 33
orcid.org/0000-0002-2145-113X
Presentation
Research on the geography of crime and fear, policing and prevention.
Current larger projects:
- Police use of CCTV
- The geography of fear
- Youth and fear
- Organized crime and encrypted chat applications
- The effect of being classified as a vulnerable area
- The effect of changes in the physical environment on crime in vulnerable areas
- Breaking the Broker: Cocaine smuggling through European ports
Co-funder of the Centre for policing and prevention where I am involved in a few Phd-projects:
* Hotspot policing
* Police legitimacy and security zones
* Facial recognition in investigative work
Blogg: Kriminologiska funderingar
Publications
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2025 | Article in journal
GraphTrace: A Graph-Guided Hotspot Detection Method for CCTV Placement
Martin Boldt, Kenneth Lewenhagen, Anton Borg, Karl Kronkvist, Manne Gerell
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2025 | Conference paper
Police presence and crime – Eurovision as a natural experiment
Manne Gerell
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2025 | Article in journal
Spatial and Temporal Patterns of Risk: A Risk Terrain Modeling Approach in Stockholm, Sweden
Mia Puur, Maria Camacho Doyle, Nicklas Guldåker, Manne Gerell
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2025 | Article in journal
Exploring Place-Based Fear of Crime: Associations Between Place Features and Perceived Unsafe Locations in Malmö, Sweden
Karl Kronkvist, Anna-Karin Ivert, Manne Gerell
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2025 | Article in journal
Open drug scenes across city sizes: Socioeconomic status, crime patterns and community perspectives
Alberto P. Chrysoulakis, Manne Gerell, Mia-Maria Magnusson
Research Projects
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Research project
The scope and character of empirical studies on Swedish police and policing 2010– 2024. A scoping review.
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Research project
Police work in security zones. Response, assessment, and effects.
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Research project
Experiences of (un)safety in everyday-life of children and youths
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Research project
Organised Criminal Groups
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Research project
The geography of fear - Where and when do we experience fear and how can it be understood?
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Doctoral Project
Data-driven interdisciplinary methods to combat crime and fear using police CCTV
