| Framing artificial intelligence (AI) additive manufacturing (AM) B Heiden, V Alieksieiev, M Volk, B Tonino-Heiden Procedia Computer Science 186, 387-394, 2021 | 35 | 2021 |
| Challenging Big Data Engineering: Positioning of Current and Future Development. M Volk, D Staegemann, M Pohl, K Turowski IoTBDS, 351-358, 2019 | 33 | 2019 |
| Understanding issues in big data applications–A multidimensional endeavor D Staegemann, M Volk, N Jamous, K Turowski | 29 | 2019 |
| Discussing relations between dynamic business environments and big data analytics D Staegemann, M Volk, C Daase, K Turowski Complex Systems Informatics and Modeling Quarterly, 58-82, 2020 | 25 | 2020 |
| Applying test driven development in the big data domain–lessons from the literature D Staegemann, M Volk, E Lautenschläger, M Pohl, M Abdallah, ... 2021 international conference on information technology (ICIT), 511-516, 2021 | 24 | 2021 |
| Big Data M Volk, D Staegemann, K Turowski Handbuch Digitale Wirtschaft, 1037-1053, 2020 | 24 | 2020 |
| Exploring the specificities and challenges of testing big data systems D Staegemann, M Volk, A Nahhas, M Abdallah, K Turowski 2019 15th International Conference on Signal-Image Technology & Internet …, 2019 | 22 | 2019 |
| Exploring the applicability of test driven development in the big data domain D Staegemann, M Volk, N Jamous, K Turowski | 20 | 2020 |
| Identifying similarities of big data projects–a use case driven approach M Volk, D Staegemann, I Trifonova, S Bosse, K Turowski IEEE Access 8, 186599-186619, 2020 | 18 | 2020 |
| Approaching the (Big) Data Science Engineering Process. M Volk, D Staegemann, S Bosse, R Häusler, K Turowski IoTBDS, 428-435, 2020 | 17 | 2020 |
| Generating Content-Compliant Training Data in Big Data Education. R Häusler, D Staegemann, M Volk, S Bosse, C Bekel, K Turowski CSEDU (1), 104-110, 2020 | 16 | 2020 |
| Decision-support for selecting big data reference architectures M Volk, S Bosse, D Bischoff, K Turowski Business Information Systems: 22nd International Conference, BIS 2019 …, 2019 | 16 | 2019 |
| Providing clarity on big data technologies: A structured literature review M Volk, S Bosse, K Turowski 2017 IEEE 19th conference on business informatics (CBI) 1, 388-397, 2017 | 16 | 2017 |
| Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects. M Volk, N Jamous, K Turowski AMCIS, 2017 | 13 | 2017 |
| How much is Big Data? A Classification Framework for IT Projects and Technologies. M Volk, SW Hart, S Bosse, K Turowski AMCIS, 2016 | 13 | 2016 |
| Towards a concept for building a big data architecture with microservices A Shakir, D Staegemann, M Volk, N Jamous, K Turowski Business information systems, 83-94, 2021 | 11 | 2021 |
| New e-commerce user interest patterns M Volk, AE Shareef, N Jamous, K Turowski 2017 IEEE International Congress on Big Data (BigData Congress), 406-413, 2017 | 11 | 2017 |
| Providing clarity on big data technologies: The BDTOnto ontology M Volk, D Staegemann, N Jamous, M Pohl, K Turowski International Journal of Intelligent Information Technologies (IJIIT) 16 (2 …, 2020 | 10 | 2020 |
| A literature review on the challenges of applying test-driven development in software engineering D Staegemann, M Volk, M Perera, C Haertel, M Pohl, C Daase, ... Complex Systems Informatics and Modeling Quarterly, 18-28, 2022 | 9 | 2022 |
| International diffusion of the information security management system standard ISO/IEC 27001: exploring the role of culture M Mirtsch, J Pohlisch, K Blind | 8 | 2020 |
Daniel StaegemannOtto-von-Guericke University MagdeburgEmail verificata su ovgu.de
