The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Unraveling the crime scripts of phishing networks: an analysis of 45 court cases in the Netherlands
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While previous studies have applied crime scripting to various types of cybercrime (see Dehghanniri & Borrion, 2021), such as phishing (Loggen & Leukfeldt, 2022) or customer-to-customer e-commerce fraud (Lee, 2022), none of them focused on online romance scams.”
From Love as Bait: A Scoping Review and Crime Script Analysis of Online Romance Scams (2026) · cites this paper as Loggen & Leukfeldt, 2022
Citations
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414
Validity, reliability, and generalizability in qualitative research
Leung, L. (2015) · Journal of Family Medicine and Primary Care · doi:10.4103/2249-4863.161306 · Cited by 1,404
Clarke, R. V. (1995) · Crime and Justice · doi:10.1086/449230 · Cited by 1,215
Modeling Offenders' Decisions: A Framework for Research and Policy
Clarke, R. V., & Cornish, D. B. (1985) · Crime and Justice · doi:10.1086/449106 · Cited by 917
Exploring stolen data markets online: products and market forces
Holt, T. J., & Lampke, E. (2010) · Criminal Justice Studies · doi:10.1080/14786011003634415 · Cited by 260
Meijer, P. C., Verloop, N., & Beijaard, D. (2002) · Quality and Quantity · doi:10.1023/a:1014984232147 · Cited by 254
A Crime Script Analysis of the Online Stolen Data Market: Table 1
Hutchings, A., & Holt, T. J. (2014) · The British Journal of Criminology · doi:10.1093/bjc/azu106 · Cited by 218
Reducing and preventing organised crime: An evidence-based critique
Levi, M., & Maguire, M. (2004) · Crime Law and Social Change · doi:10.1023/b:cris.0000039600.88691.af · Cited by 177
Crime Script Analysis of Drug Manufacturing In Clandestine Laboratories: Implications for Prevention
Chiu, Y.-N., Leclerc, B., & Townsley, M. (2011) · The British Journal of Criminology · doi:10.1093/bjc/azr005 · Cited by 147
Achieving a consensual definition of phishing based on a systematic review of the literature
Lastdrager, E. (2014) · Crime Science · doi:10.1186/s40163-014-0009-y · Cited by 135
Research works printed but not linked: 9
- Clarke RV (2017) Situational crime prevention. In: Wortley R, Townsley M (eds) Environmental criminology and crime analysis, 2nd edn. Routledge, Abingdon
- Cornish D (1994) The procedural analysis of offending and its relevance for situational prevention. In: Clarke RV (ed) Crime Prevention Studies. Criminal Justice Press, Monsey
- Cornish DB, Clarke RV (2017) The rational choice perspective. In: Wortley R, Townsley M (eds) Environmental criminology and crime analysis, 2nd edn. Routledge, Abingdon
- Felson M (2017) The routine activity approach. In: Wortley R, Townsley M (eds) Environmental criminology and crime analysis, 2nd edn. Routledge, Abingdon
- Kronenberg MJ, De Wilde B (2015) Grondtrekken van het Nederlandse strafrecht, 6th edn. Wolters Kluwer, Deventer
- Lavorgna A (2013) Transit crimes in the internet age: How new online criminal opportunities affect the organization of offline transit crimes (Doctoral dissertation, University of Trento, Italy) https://core.ac.uk/download/pdf/35317313.pdf
- McGuire M, Dowling S (2013a) Chapter 1: Cyber-dependent crimes. Home Office UK, London
- McGuire M, Dowling S (2013b) Chapter 2: Cyber-enabled crimes. Home Office UK, London
- Office for National Statistics [ONS] (2021) Crime in England and Wales: Year Ending June 2021. ONS, London
Cited by
Love as Bait: A Scoping Review and Crime Script Analysis of Online Romance Scams
Schokkenbroek, J. M., & Snaphaan, T. (2026) · Trauma, Violence, & Abuse · doi:10.1177/15248380251361046 · Cited by 7
“…has been successfully applied in previous research to analyze a wide range of criminal activities (Dehghanniri & Borrion, 2021; Snaphaan & Klerks, 2024) and has proven valuable in the broader context of online fraud (Leclerc & Morgenthaler, 2023; Loggen & Leukfeldt, 2022; Matthijsse et al., 2023).”
Metadata
- Authors
- Loggen, J., & Leukfeldt, R.
- Affiliations
- The Hague University of Applied Sciences (NL)
- Netherlands Institute for the Study of Crime and Law Enforcement (NL)
- Corresponding author
- Loggen, Joeri
- Venue
- Trends in Organized Crime
- Published
- 2022-02-13
- Volume
- 25
- Issue
- 2
- Pages
- 205-225
- ISSN
- 1084-4791 (ISSN-L)
- 1936-4830
- OpenAlex
- W4212796746
- Cited by
- 34
- References
- 28
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 10 · 2023: 7 · 2022: 1
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Locations
- Trends in Organized Crime (publishedVersion)
- Topics
- Social Sciences › Law › Cybercrime and Law Enforcement Studies
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Keywords
- phishing, crime scripts, modus operandi, bank account fraud, personal data theft, verification code, court transcripts, cybercrime, digitalization, crime prevention strategies, Netherlands
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.