Invoice Fraud Detection
Invoice Fraud Detection is a methodological framework within fraud detection that specifically identifies and prevents fraudulent activities by analyzing discrepancies and anomalies in invoice data to distinguish legitimate transactions from those that are intentionally falsified for financial gain.
4
Publications
199
Citations
15
Authors
9
Institutions
Publications per year
2017–2026
1
4
Corporate residence fraud detection
Enric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms et al. · 2014 · 43 citations
Business, Data Science, Finance +13
Fraud Detection Using Digital Analysis
David Coderre · EDPACS · 1999 · 14 citations
Fraud Detection in Supply Chain with Machine Learning
Mahdi Seify, Mehran Sepehri, Amin Hosseinian‐Far et al. · IFAC-PapersOnLine · 2022 · 13 citations · Full text
1–5 of 4
15
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 15
9
University of Antwerp
Antwerp, Belgium
1 h-index
4 publications
172 citations
University of Chile
Santiago, Chile
1 h-index
1 publications
119 citations
New York University
New York, United States
1 h-index
1 publications
43 citations
Association of Universities and Colleges of Canada
Ottawa, Canada
1 h-index
1 publications
14 citations
Uttaranchal University
Dehradun, India
1 h-index
5 publications
115 citations
Gobierno de Chile
Santiago, Chile
1 h-index
1 publications
119 citations

Ghent University
Ghent, Belgium
1 h-index
1 publications
43 citations

Ghent University Hospital
Ghent, Belgium
1 h-index
1 publications
43 citations
1–8 of 9
1 publications · 14 citations
1
h-index
1 publications · 119 citations
1
h-index
1 publications · 13 citations
1–3