| 2019 | SCI, SCIE, SSCI, A&HCI
| Lipovina M., Kašćelan Lj., Kašćelan V | A Support Vector Machine approach for predicting progress toward environmental sustainability from information and communication technology and human development | Environmental and Ecological Statistics |
| 2018 | SCOPUS
| Novović Burić, M., Kašćelan, V., Radović, M., Lalević Filipović, A. | Mechanisms of Protection from Interest Rate Risk with Reference to the Life Insurance Market in Montenegro | Journal of Central Banking Theory and Practice |
| 2017 | SCI, SCIE, SSCI, A&HCI
| Jovanović M., Kašćelan LJ., Joksimović M., Kašćelan V. | Decision tree analysis of wine consumers’ preferences: evidence from an emerging market | British Food Journal |
| 2016 | SCI, SCIE, SSCI, A&HCI
| Vladimir Kašćelan, Ljiljana Kašćelan i Milijana Novović- Burić | A nonparametric data mining approach for risk prediction in car insurance: a case study from the Montenegrin market | Economic Research, Taylor & Francis
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| 2015 | SCI, SCIE, SSCI, A&HCI
| Jovanović M., Kašćelan LJ., Despotović A., Kašćelan V. | The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies | Sustainability |
| 2015 | SCI, SCIE, SSCI, A&HCI
| Kašćelan Lj, Kašćelan V, Jovanović M | Hybrid Support Vector Machine Rule Extraction Method for Discovering the Preferences of Stock Market Investors: Evidence from Montenegro | Intelligent Automation & Soft Computing, Taylor&Francis |
| 2014 | SCI, SCIE, SSCI, A&HCI
| Kašćelan Lj, Kašćelan V, Jovanovic M | Analysis of Investors’ Preferences in the Montenegro Stock Market Using Data Mining Techniques | Economic Research, Taylor&Francis |
