Here are all publications listed.
My Google Scholar page. My ResearchGate page.
Journal Publications
Hoheisel, R., Van Capelleveen, G., Sarmah, D., & Junger, M. (2023). The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains. Computers & Security, 103158. https://doi.org/10.1016/j.cose.2023.103158
van Capelleveen, G., Vegter, D., Olthaar, M., & van Hillegersberg, J. (2023). The anatomy of a passport for the circular economy: a conceptual definition, vision and structured literature review. Resources, Conservation & Recycling Advances, 200131. https://doi.org/10.1016/j.rcradv.2023.200131
van Capelleveen, G., van Wieren, J., Amrit, C., Yazan, D.M., Zijm, H. (2020) Exploring recommendations for circular supply chain management through interactive visualisation, Decision Support Systems, 113431, https://doi.org/10.1016/j.dss.2020.113431
van Capelleveen, G., Amrit, C., Zijm, H., Yazan, D.M., Abdi, A. (2020) Toward building recommender systems for the circular economy: Exploring the perils of the European Waste Catalogue, Journal of Environmental Management, Volume 277, https://doi.org/10.1016/j.jenvman.2020.111430
Fraccascia, L., Yazdanpanah, V., van Capelleveen, G. et al. (2020) Energy-based industrial symbiosis: a literature review for circular energy transition. Environment, Development, and Sustainability. https://doi.org/10.1007/s10668-020-00840-9
Genc, O., van Capelleveen, G., Erdis, E., Yildiz, O., & Yazan, D. M. (2019). A socio-ecological approach to improve industrial zones towards eco-industrial parks. Journal of environmental management, 250, [109507]. https://doi.org/10.1016/j.jenvman.2019.109507
van Capelleveen, G. C., Amrit, C. A., Yazan, D. M., & Zijm, W. H. M. (2019). The recommender canvas: A model for developing and documenting recommender system design. Expert systems with applications, 129, 97-117. https://doi.org/10.1016/j.eswa.2019.04.001
van Capelleveen, G., Amrit, C., Yazan, D. M., & Zijm, H. (2018). The influence of knowledge in the design of a recommender system to facilitate industrial symbiosis markets. Environmental modelling & software, 110, 139-152. https://doi.org/10.1016/j.envsoft.2018.04.004
van Capelleveen, G. C., Poel, M., Mueller, R., Thornton, D., & van Hillegersberg, J. (2016). Outlier detection in healthcare fraud: A case study in the Medicaid dental domain. International journal of accounting information systems, 21, 18-31. https://doi.org/10.1016/j.accinf.2016.04.001 (pdf)
Conference Proceedings
Massey, T., Amrit, C., & van Capelleveen, G. C. (2020). Analysing the trend of Islamophobia in Blog Communities using Machine Learning and Trend Analysis. In Twenty-Eight European Conference on Information Systems (ECIS2020), Marrakesh, Morocoo. https://aisel.aisnet.org/ecis2020_rp/188/
Fraccascia, L., Yazdanpanah, V., van Capelleveen, G. C., & Yazan, D. M. (2019). A Framework for Industrial Symbiosis Systems for Agent-Based Simulation. In D. Novikov, & J. Becker (Eds.), Proceedings – 21st IEEE Conference on Business Informatics, CBI 2019 (pp. 419-428). https://doi.org/10.1109/CBI.2019.00055
van Capelleveen, G. C., Pohl, J., Fritsch, A., & Schien, D. (2018). The Footprint of Things: A hybrid approach towards the collection, storage and distribution of life cycle inventory data. In ICT4S2018. 5th International Conference on Information and Communication Technology for Sustainability (pp. 350-364). https://doi.org/10.29007/8pnj
van Capelleveen, G. C., Amrit, C. A., & Yazan, D. M. (2017). A Literature Survey of Information Systems Facilitating the Identification of Industrial Symbiosis. In B. Otjacques, P. Hitzelberger, S. Naumann, & V. Wohlgemuth (Eds.), From Science to Society: New Trends in Environmental Informatics (pp. 155-169). (Progress in IS). Springer. https://doi.org/10.1007/978-3-319-65687-8_14
Fraccascia, L., van Capelleveen, G. C., Yazdanpanah, V., & Yazan, D. M. (2017). Resource inventory for fostering industrial symbiosis practices. In E. Mancuso, & V. Fantin (Eds.), Methods and tools for the implementation of industrial symbiosis: Best practices and business cases in Italy (pp. 51-52). ENEA.
Thornton, D., Poel, M., van Hillegersberg, J., Mueller, R., & van Capelleveen, G. C. (2014). Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data. In Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS 2014) (pp. 684-694). SCITEPRESS. https://doi.org/10.5220/0004986106840694
Books & Chapters
Yazan, D. M., van Capelleveen, G., & Fraccascia, L. (2022). Decision-Support Tools for Smart Transition to Circular Economy. In Smart Industry–Better Management (Vol. 28, pp. 151-169). Emerald Publishing Limited. https://doi.org/10.1108/S1877-636120220000028010
van Capelleveen, G. C. (2020). Industrial Symbiosis Recommender Systems. Enschede: University of Twente. ISBN: 978-90-365-5007-9. https://doi.org/10.3990/1.9789036550079
Jansen, S, van Capelleveen, G. (2013). Quality review and approval methods for extensions in software ecosystems. In S. Jansen, S. Brinkkemper, & M. Cusumano (Eds.), Software Ecosystems: Analyzing and Managing Business Networks in the Software Industry (pp. 187-217). Edward Elgar Publishing Ltd.. https://doi.org/10.4337/9781781955635.00018