| COVID-19 and organized crime: strategies employed by criminal groups to increase their profits and power in the first months of the pandemic A Aziani, GA Bertoni, M Jofre, M Riccardi Trends in Organized Crime 26 (2), 114-135, 2023 | 32 | 2023 |
| Fighting accounting fraud through forensic data analytics M Jofre, R Gerlach arXiv preprint arXiv:1805.02840, 2018 | 31 | 2018 |
| Bid-rigging in public procurement: cartel strategies and bidding patterns C Carbone, F Calderoni, M Jofre Crime, Law and Social Change, 1-33, 2024 | 8 | 2024 |
| Inductive and transductive link prediction for criminal network analysis Z Ahmadi, HH Nguyen, Z Zhang, D Bozhkov, D Kudenko, M Jofre, ... Journal of Computational Science 72, 102063, 2023 | 8 | 2023 |
| Money laundering and the detection of bad entities: a machine learning approach for the risk assessment of anomalous ownership structures M Jofre, A Bosisio, M Riccardi, S Guastamacchia 2021 Empirical AML Research Conference Proceedings-The Central Bank of the …, 2021 | 7 | 2021 |
| Network analysis for financial crime risk assessment: the case study of the gambling division in Malta M Jofre The Criminology of Carlo Morselli-Part II, 26-48, 2023 | 5 | 2023 |
| Developing a tool to assess corruption risk factors in firms' ownership structures - Final Report of Project DATACROS SG Antonio Bosisio, Carlotta Carbone, Maria Jofre, Michele Riccardi Crime&tech srl - Universitŕ Cattolica del Sacro Cuore, 2021 | 5* | 2021 |
| Money laundering and the detection of bad companies: a machine learning approach for the risk assessment of opaque ownership structures M Jofre, A Bosisio, M Riccardi, S Guastamacchia | 5 | 2021 |
| Fighting accounting fraud through forensic analytics M Jofre Ph. D. Dissertation, The University Of Sydney Business School, 2017 | 4 | 2017 |
| Roxsd: The roxanne multimodal and simulated dataset for advancing criminal investigations P Motlicek, E Dikici, S Madikeri, P Rangappa, M Jánošík, G Backfried, ... Proc. odyssey 2024, 17-24, 2024 | 2 | 2024 |
| Investigating High-Risk Firms A Bosisio, M Jofre European Law Enforcement Research Bulletin, Nr. 6: tbd-Nr. 6: tbd, 2023 | 2 | 2023 |
| Investigating High-Risk Firms: A Machine Learning-Based Approach to Cross-Border Ownership Data A Bosisio, M Jofre Special Issue 6 Eur. L. Enf't Rsch. Bull., 121, 2022 | 2 | 2022 |
| Financial crime risk assessment: machine learning insights into ownership structures in secrecy firms M Jofre, A Bosisio, M Riccardi Global Crime 25 (3-4), 242-267, 2024 | 1 | 2024 |
| Convergence Between Migrant Smuggling and Trafficking of Goods: Text Analysis of Open-Source Data A Aziani, M Jofre, M Mancuso International Migration Review, 01979183231200198, 2023 | 1 | 2023 |
| Terrorist Financing: Traditional vs. Emerging Financial Technologies M Jofre, A Aziani, E Villa Terrorism and Political Violence, 1-14, 2024 | | 2024 |
| Inside the Leak: Exploring the Structure of the Conti Ransomware Group C Paternoster, M Nazzari, M Jofre, TE Uberti CrimRxiv, 2024 | | 2024 |
| CTC Project: Advancing the Fight against Terrorist Financing with AI Technologies T Spathi, M Jofre, M Djouadi, T Skouras, N Stylianou, S Raptis, ... Paradigms on Technology Development for Security Practitioners, 275-286, 2024 | | 2024 |
| Money laundering and the detection of bad companies: a machine learning approach for the risk assessment of opaque ownership structures MP Jofre Alegria, A Bosisio, M Riccardi, S Guastamacchia Proceedings of the 2nd International Research Conference on Empirical …, 2021 | | 2021 |
| Preprint not peer reviewed M Jofre, A Aziani, E Villa | | |
| International Money Laundering: Are We Looking from the Right Angle? M Nazzari, M Jofre Choices 25 (2), 103-27, 0 | | |
