Computer Science and Informatics

Article (refereed)

• Ingemarsson, J., Birath, M., Kävrestad, J. (2025). Factors influencing Swedish citizens’ willingness to provide their mobile phones to forensic examination. International Journal of Information Security
• Dehne, A., Niyazov, S., Sandkuhl, K. (2024). Variability Modeling in Enterprise Architecture Management: Case Study and Survey on Existing Approaches. Complex Systems Informatics and Modeling Quarterly 2024(39), 26-47
• Fallatah, W., Kävrestad, J., Furnell, S. (2024). Establishing a model for the user acceptance of cybersecurity training. Future Internet 16(8),
• Ghaffari, M., Khan, G., Singh, S., Ferwerda, B. (2024). The impact of COVID-19 on online music listening behaviors in light of listeners’ social interactions. Multimedia tools and applications (pp. 13197-13239).
• Kitkowska, A., Alaqra, A., Wästlund, E. (2024). Lockdown locomotion: the fast-forwarding effects of technology use on digital well-being due to COVID-19 restrictions. Behavior and Information Technology 43(6), 1178-1205
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• Kävrestad, J., Burvall, F., Nohlberg, M. (2024). A taxonomy of factors that contribute to organizational Cybersecurity Awareness (CSA). Information and Computer Security
• Kävrestad, J., Rambusch, J., Nohlberg, M. (2024). Design principles for cognitively accessible cybersecurity training. Computers & security (Print)
• Naqvi, B., Kävrestad, J., Najmul Islam, A. (2024). Inclusive and Accessible Cybersecurity: Challenges and Future Directions. Computer 57(6), 73-81
• Pettersson, T., Riveiro, M., Löfström, T. (2024). Multimodal fine-grained grocery product recognition using image and OCR text. Machine Vision and Applications 35(4),
• Praestegaard Larsen, B. (2024). A review of ethical considerations within autonomous maritime cybersecurity research. Journal of Maritime Research 21(1), 97-100
• Ramstrand, N., Riveiro, M., Eriksson, L., Ceder, M. (2024). Designing feelings into lower-limb prostheses: A kansei engineering approach to understand lower-limb prosthetic cosmeses. Rehabilitation and Assistive Technologies Engineering
• Shulman, Y., Kitkowska, A., Warner, M., Meyer, J. (2024). Conceal or reveal: (non)disclosure choices in online information sharing. Behavior and Information Technology
• Smedberg, H., Bandaru, S., Riveiro, M., Ng, A. (2024). Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes]. IEEE Computational Intelligence Magazine 19(3), 73-87
• Wichmann, J., Paetow, T., Leyer, M., Aweno, B., Sandkuhl, K. (2024). Determining design criteria for indoor positioning system projects in hospitals: A design science approach. Digital Health
• Erdmann, S., Sandkuhl, K. (2023). Robotic Process Automation in Small Enterprises: An Investigation into Application Potential. Complex Systems Informatics and Modeling Quarterly 2023(34), 84-105
• Ferwerda, B., Hanbury, A., Knijnenburg, B., Larsen, B., Michiels, L., Papenmeier, A. ... Willemsen, M. (2023). Reality Check – Conducting Real World Studies. Dagstuhl Reports 13(1), 20-40
• Flyckt, J., Andersson, F., Westphal, F., Mansson, A., Lavesson, N. (2023). Explaining rifle shooting factors through multi-sensor body tracking. Intelligent Data Analysis 27(2), 535-554
• Gleicher, M., Riveiro, M., Von Landesberger, T., Deussen, O., Chang, R., Gillman, C. (2023). A Problem Space for Designing Visualizations. IEEE Computer Graphics and Applications 43(4), 111-120
• Kiesel, D., Riehmann, P., Froehlich, B. (2023). Smooth transitions between parallel coordinates and scatter plots via polycurve star plots. Computer graphics forum (Print) 42(6),
• Kitkowska, A., Shulman, Y., Martucci, L., Wästlund, E. (2023). Designing for privacy: Exploring the influence of affect and individual characteristics on users' interactions with privacy policies. Computers & security (Print)
• Mahmood, Y., Meier, A., Schmidt, J. (2023). Parameterized Complexity of Logic-based Argumentation in Schaefer's Framework. ACM Transactions on Computational Logic 24(3),
• Moses, F., Sandkuhl, K. (2023). Information Security Management in Small Public Sector Organizations: Requirements and Design of a Procedural Approach. Complex Systems Informatics and Modeling Quarterly 2023(37), 54-68
• Ohlander, U., Alfredson, J., Riveiro, M., Helldin, T., Falkman, G. (2023). The Effects of Varying Degrees of Information on Teamwork a Study on Fighter Pilots. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 67(1), 1965-1970
• Riveiro, M. (2023). Expectations, trust, and evaluation. Dagstuhl Reports 12(8), 109-109
• Riveiro, M. (2023). A design theory for uncertainty visualization?. Dagstuhl Reports 12(8), 12-13
• Sandkuhl, K. (2023). Quantified products: Case studies, features and their design implications. Informatica (Vilnius) 34(4), 825-845
• Sequeira, M., Adlemo, A., Hilletofth, P. (2023). A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions. Operations Management Research (pp. 164-191).
• Shilov, N., Othman, W., Fellmann, M., Sandkuhl, K. (2023). Machine learning for enterprise modeling assistance: an investigation of the potential and proof of concept. Software and Systems Modeling (pp. 619-646).
• Würtz, M., Sandkuhl, K. (2023). Enterprise Architecture for Integration of Demand-Responsive Services in Public Transport. Complex Systems Informatics and Modeling Quarterly 2023(34), 62-83
• Bernsmed, K., Bour, G., Lundgren, M., Bergström, E. (2022). An evaluation of practitioners’ perceptions of a security risk assessment methodology in air traffic management projects. Journal of Air Transport Management
• Flyckt, J., Andersson, F., Lavesson, N., Nilsson, L., Ågren, A. (2022). Detecting ditches using supervised learning on high-resolution digital elevation models. Expert systems with applications
• Sandkuhl, K., Shilov, N., Seigerroth, U., Smirnov, A. (2022). Towards the Quantified Product-Product Lifecycle Support by Multi-Aspect Ontologies. IFAC-PapersOnLine 55(2), 187-192
• Arvidsson, S., Gullstrand, M., Sirmacek, B., Riveiro, M. (2021). Sensor fusion and convolutional neural networks for indoor occupancy prediction using multiple low-cost low-resolution heat sensor data. Sensors 21(4), 1-21
• Baer, F., Sandkuhl, K., Leyer, M., Lantow, B. (2021). DESERV IT: A method for devolving service tasks in IT services. Business & Information Systems Engineering (pp. 419-439).
• Beauxis-Aussalet, E., Behrisch, M., Borgo, R., Chau, D., Collins, C., Ebert, D. ... Rhyne, T. (2021). The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6), 7-12
• Bergström, E., Karlsson, F., Åhlfeldt, R. (2021). Developing an information classification method. Information and Computer Security 29(2), 209-239
• Eriksson, M., Ferwerda, B. (2021). Towards a User Experience Framework for Business Intelligence. Journal of Computer Information Systems 61(5), 428-437
• Jonsson, P., Lagerkvist, V., Schmidt, J., Uppman, H. (2021). The exponential-time hypothesis and the relative complexity of optimization and logical reasoning problems. Theoretical Computer Science (pp. 1-24).
• Kaidalova, J., Sandkuhl, K., Seigerroth, U. (2021). Product-IT Inclusive Enterprise Architecture Management: An Approach Based on Ecosystems, Customer Journey and Data-Driven Business Opportunities. Complex Systems Informatics and Modeling Quarterly (pp. 1-25).
• Mahmood, Y., Meier, A., Schmidt, J. (2021). Parameterized complexity of abduction in Schaefer's framework. Journal of logic and computation (Print) 31(1), 266-296
• Riveiro, M., Thill, S. (2021). “That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems. Artificial Intelligence
• Sequeira, M., Hilletofth, P., Adlemo, A. (2021). AHP-based support tools for initial screening of manufacturing reshoring decisions. Journal of Global Operations and Strategic Sourcing 14(3), 502-527
• Ulfenborg, B., Karlsson, A., Riveiro, M., Andersson, C., Sartipy, P., Synnergren, J. (2021). Multi-assignment clustering: Machine learning from a biological perspective. Journal of Biotechnology (pp. 1-10).
• Ventocilla, E., Martins, R., Paulovich, F., Riveiro, M. (2021). Scaling the Growing Neural Gas for Visual Cluster Analysis. Big Data Research
• Bae, J., Helldin, T., Riveiro, M., Nowaczyk, S., Bouguelia, M., Falkman, G. (2020). Interactive Clustering: A Comprehensive Review. ACM Digital Library
• Härting, R., Reichstein, C., Sandkuhl, K., Hoppe, N., Yesilay, H. (2020). Potential benefits of enterprise architecture management in the digital transformation Process. Complex Systems Informatics and Modeling Quarterly (pp. 49-60).
• Möhring, M., Schmidt, R., Keller, B., Sandkuhl, K., Zimmermann, A. (2020). Predictive maintenance information systems: The underlying conditions and technological aspects. International Journal of Enterprise Information Systems 16(2), 22-37
• Riveiro, M. (2020). Explainable AI for maritime anomaly detection and autonomous driving. Dagstuhl Reports 9(11), 29-30
• Sandkuhl, K., Shilov, N., Smirnov, A. (2020). Facilitating digital transformation: success factors and multi-aspect ontologies. The International Journal of Integrated Supply Management 13(4), 376-393
• Sirmacek, B., Riveiro, M. (2020). Occupancy prediction using low-cost and low-resolution heat sensors for smart offices. Sensors 20(19),
• Ventocilla, E., Riveiro, M. (2020). A comparative user study of visualization techniques for cluster analysis of multidimensional data sets. Information Visualization 19(4), 318-338
• Wichmann, J., Sandkuhl, K., Shilov, N., Smirnov, A., Timm, F., Wißotzki, M. (2020). Enterprise architecture frameworks as support for implementation of regulations: Approach and experiences from GDPR. Complex Systems Informatics and Modeling Quarterly (pp. 31-48).
• Bergström, E., Lundgren, M. (2019). Stress Amongst Novice Information Security Risk Management Practitioners. International Journal on Cyber Situational Awareness 4(1), 128-154
• Bernhard, J., Carstensen, A., Davidsen, J., Ryberg, T. (2019). Practical Epistemic Cognition in a Design Project - Engineering Students Developing Epistemic Fluency. IEEE Transactions on Education 62(3), 216-225
• Carstensen, A., Bernhard, J. (2019). Design science research – a powerful tool for improving methods in engineering education research. European Journal of Engineering Education 44(1-2), 85-102
• Diadiushkin, A., Sandkuhl, K., Maiatin, A. (2019). Fraud Detection in Payments Transactions: Overview of Existing Approaches and Usage for Instant Payments. Complex Systems Informatics and Modeling Quarterly (pp. 72-88).
• Dórea, F., Vial, F., Hammar, K., Lindberg, A., Lambrix, P., Blomqvist, E., Revie, C. (2019). Drivers for the development of an Animal Health Surveillance Ontology (AHSO). Preventive Veterinary Medicine (pp. 39-48).
• Ferwerda, B., Yang, E., Schedl, M., Tkalcic, M. (2019). Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services. Multimedia tools and applications 78(14), 20157-20190
• Hilletofth, P., Sequeira, M., Adlemo, A. (2019). Three novel fuzzy logic concepts applied to reshoring decision-making. Expert systems with applications (pp. 133-143).
• Martens, A., Sandkuhl, K., Lantow, B., Lehmann, H., Lettau, W., Radisch, F. (2019). An evaluation approach for smart support of teaching and learning processes. Smart Learning Environments 6(1),
• Sandkuhl, K., Seigerroth, U. (2019). Method engineering in information systems analysis and design: a balanced scorecard approach for method improvement. Software and Systems Modeling 18(3), 1833-1857
• Alirezaie, M., Hammar, K., Blomqvist, E. (2018). SmartEnv as a Network of Ontology Patterns. Semantic Web 9(6), 903-918
• Bär, F., Leyer, M., Sandkuhl, K. (2018). Reducing the IT Personnel’s Workload in IT Self-Services. SMR - Journal of Service Management Research 2(4), 19-32
• Johansson, U., Linusson, H., Löfström, T., Boström, H. (2018). Interpretable regression trees using conformal prediction. Expert systems with applications (pp. 394-404).
• Kaidalova, J., Sandkuhl, K., Seigerroth, U. (2018). How Digital Transformation affects Enterprise Architecture Management - a case study. International Journal of Information Systems and Project Management 6(3), 5-18
• Koç, H., Sandkuhl, K., Stirna, J., Kuhr, J. (2018). Capability as a Service: Method and Tool Support for Context-Aware Business Services. International Journal of Information Systems in the Service Sector 10(3), 64-84
• Lambusch, F., Waltemath, D., Wolkenhauer, O., Sandkuhl, K., Rosenke, C., Henkel, R. (2018). Identifying frequent patterns in biochemical reaction networks: a workflow. Database
• Möhring, M., Schmidt, R., Sandkuhl, K. (2018). Flexible Entscheidungsmechanismen: Implementierung eines dynamischen präventiven Retourenmanagements. 14(1), 40-42
• Sandkuhl, K., Alexander, S. (2018). Context-oriented Knowledge Management in Production Networks. Applied Computer Systems 23(2), 81-89
• Sandkuhl, K., Fill, H., Hoppenbrouwers, S., Krogstie, J., Matthes, F., Opdahl, A. ... Winter, R. (2018). From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling. Business & Information Systems Engineering 60(1), 69-80
• Sandkuhl, K., Herzog, H., Timm, F., Stephan, G., Debski, A. (2018). Eine Referenz für die Compliance-Organisation: Referenzmodell zur IT-gestützten Realisierung von Compliance in der Finanzindustrie. Zeitschrift für Risk, Fraud & Compliance 13(1), 16-22
• Timm, F., Sandkuhl, K. (2018). Towards a Reference Compliance Organization in the Financial Sector. Banking and Information Technology 19(2), 38-48
• Westphal, F., Grahn, H., Lavesson, N. (2018). Efficient document image binarization using heterogeneous computing and parameter tuning. International Journal on Document Analysis and Recognition 21(1-2), 41-58
• Boström, H., Linusson, H., Löfström, T., Johansson, U. (2017). Accelerating difficulty estimation for conformal regression forests. Annals of Mathematics and Artificial Intelligence 81(1-2), 125-144
• Gaeta, M., Marzano, A., Miranda, S., Sandkuhl, K. (2017). The competence management to improve the learning engagement. Journal of Ambient Intelligence and Humanized Computing 8(3), 405-417
• Grabis, J., Sandkuhl, K. (2017). Value-based and context-aware selection of software-service bundles: A capability based method. (pp. 21-37).
• Harlamova, M., Kirikova, M., Sandkuhl, K. (2017). A survey on challenges of semantics application in the Internet of Things domain. 21(1), 13-21
• Kaidalova, J., Seigerroth, U., Sandkuhl, K. (2017). Enterprise Modeling for Business and IT Alignment – A Framework and Recommendations. 12(71), 67-86
• Leyer, M., Sandkuhl, K. (2017). Integration of individual processes and information demand patterns: A conceptual analysis. (pp. 61-72).
• Stamer, D., Sandkuhl, K., Zeiner, V. (2016). Information Demand Pattern for Teams. Complex Systems Informatics and Modeling Quarterly (pp. 54-72).
• Zimmermann, A., Jugel, D., Sandkuhl, K., Schmidt, R., Schweda, C., Möhring, M. (2016). Architectural Decision Management for Digital Transformation of Products and Services. Complex Systems Informatics and Modeling Quarterly (pp. 31-53).
• Berzisa, S., Bravos, G., González, T., Czubayko, U., España, S., Grabis, J. ... Zdravkovic, J. (2015). Capability Driven Development: An Approach to Designing Digital Enterprises. Business & Information Systems Engineering 57(1), 15-25
• Lantow, B., Sandkuhl, K. (2015). An Analysis of Applicability using Quality Metrics for Ontologies on Ontology Design Patterns. International Journal of Intelligent Systems in Accounting, Finance & Management 22(1), 81-99
• Sandkuhl, K. (2015). Pattern-based Knowledge Architecture for Information Logistics. Revista Investigacion Operacional 36(1), 36-44
• Sandkuhl, K., Kuhr, J., Koç, H., Czubayko, U. (2015). Capability Management im Geschäftsprozess-Outsourcing. Controlling 27(12), 693-702
• Tinney, T., Adlemo, A., Seigerroth, U., Candell, O. (2015). Safety and security in eMaintenance: The need for integration. International Journal of COMADEM 18(2), 39-51