Publikationer av Ioannis Ioannidis
Refereegranskade
Artiklar
[1]
V. Ceccato, I. Ioannidis och M. Felson, "Graffiti in pedestrian tunnels : A comparison of police records and crowdsourced data in Stockholm, Sweden," Tunnelling and Underground Space Technology, vol. 159, 2025.
[2]
V. Ceccato, I. Ioannidis och M. Felson, "Tunnels in the urban fabric : balancing connectivity and safety," Urban, Planning and Transport Research, vol. 13, no. 1, 2025.
[3]
I. Ioannidis et al., "Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts," Cartography and Geographic Information Science, vol. 52, no. 3, s. 259-275, 2025.
[4]
V. Ceccato och I. Ioannidis, "Introduction to the special issue “environmental criminology in crime prevention : theories for practice”," Security Journal, vol. 37, no. 3, s. 425-431, 2024.
[5]
V. Ceccato och I. Ioannidis, "Using Remote Sensing Data in Urban Crime Analysis : A Systematic Review of English-Language Literature from 2003 to 2023," International Criminal Justice Review, 2024.
[6]
V. Ceccato, I. Ioannidis och M.-M. Magnusson, "Searching for Situational Patterns in Cannabis Dealing, Possession and Use in a Scandinavian Context," International Criminology, 2023.
Icke refereegranskade
Avhandlingar
[7]
I. Ioannidis, "Understanding crime patterns using spatial data analysis : Case studies in Stockholm, Sweden," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-ABE-DLT, 2423, 2024.
Rapporter
[8]
V. Ceccato och I. Ioannidis, "Brott i tunnlar : Kriminogena egenskaper hos tunnlar i stadsmiljöer," Stockholm : KTH Royal Institute of Technology, TRITA-ABE-RPT, 2419, 2024.
[9]
V. Ceccato, I. Ioannidis och G. Gliori, "Cannabisbruk och langning i Stockholms län : Situationella mönster och samhällskonsekvenser," Stockholm, TRITA-ABE-RPT, 223, 2022.
Övriga
[10]
I. Ioannidis et al., "Prediction of crimes using environmental features in Stockholm," (Manuskript).
[11]
I. Ioannidis et al., "Using Random Forest classification on remotely sensed data to predict criminogenic environments," (Manuskript).
Senaste synkning med DiVA:
2025-09-28 00:29:30 UTC