| Analyzing the business model concept—a comprehensive classification of literature T Burkhart, J Krumeich, D Werth, P Loos | 339 | 2011 |
| Advanced user assistance systems A Maedche, S Morana, S Schacht, D Werth, J Krumeich Business & Information Systems Engineering 58, 367-370, 2016 | 169 | 2016 |
| Prescriptive control of business processes: new potentials through predictive analytics of big data in the process manufacturing industry J Krumeich, D Werth, P Loos Business & Information Systems Engineering 58, 261-280, 2016 | 99 | 2016 |
| Event-Driven Business Process Management: where are we now?: A comprehensive synthesis and analysis of literature J Krumeich, B Weis, D Werth, P Loos Business Process Management Journal 20 (4), 615-633, 2014 | 85 | 2014 |
| Determination of rule patterns in complex event processing using machine learning techniques N Mehdiyev, J Krumeich, D Enke, D Werth, P Loos Procedia Computer Science 61, 395-401, 2015 | 82 | 2015 |
| Towards a component-based description of business models: A state-of-the-art analysis J Krumeich, T Burkhart, D Werth, P Loos | 70 | 2012 |
| Big data analytics for predictive manufacturing control-a case study from process industry J Krumeich, S Jacobi, D Werth, P Loos 2014 IEEE international congress on big data, 530-537, 2014 | 63 | 2014 |
| Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal J Krumeich, D Werth, P Loos, J Schimmelpfennig, S Jacobi 2014 IEEE International Conference on Big Data (Big Data), 16-24, 2014 | 38 | 2014 |
| A comprehensive approach towards the structural description of business models T Burkhart, S Wolter, M Schief, J Krumeich, C Di Valentin, D Werth, P Loos, ... Proceedings of the international conference on Management of Emergent …, 2012 | 38 | 2012 |
| Vorgehensmodelle des Product-Service Systems Engineering M Gräßle, O Thomas, T Dollmann Hybride Wertschöpfung: Mobile Anwendungssysteme für effiziente …, 2010 | 35 | 2010 |
| Integrating predictive analytics into complex event processing by using conditional density estimations M Christ, J Krumeich, AW Kempa-Liehr 2016 IEEE 20th International Enterprise Distributed Object Computing …, 2016 | 27 | 2016 |
| Determination of event patterns for complex event processing using fuzzy unordered rule induction algorithm with multi-objective evolutionary feature subset selection N Mehdiyev, J Krumeich, D Werth, P Loos 2016 49th Hawaii International Conference on System Sciences (HICSS), 1719-1728, 2016 | 24 | 2016 |
| Towards planning and control of business processes based on event-based predictions J Krumeich, S Jacobi, D Werth, P Loos Business Information Systems: 17th International Conference, BIS 2014 …, 2014 | 21 | 2014 |
| Viewpoint-Based Modeling-Towards Defining the Viewpoint Concept and Implications for Supporting Modeling Tools. K Fischer, D Panfilenko, J Krumeich, M Born, P Desfray EMISA, 123-136, 2012 | 21* | 2012 |
| Interdependencies between business model components–A literature analysis J Krumeich, D Werth, P Loos | 18 | 2013 |
| Towards an extended metamodel of event-driven process chains to model complex event patterns J Krumeich, N Mehdiyev, D Werth, P Loos Advances in Conceptual Modeling: ER 2015 Workshops AHA, CMS, EMoV, MoBID …, 2015 | 15 | 2015 |
| Integrierte Informationssysteme zur Unterstützung technischer Kundendienstleistungen O Thomas, J Krumeich, M Fellmann Hybride Wertschöpfung: Mobile Anwendungssysteme für effiziente …, 2010 | 13 | 2010 |
| Modeling complex event patterns in EPC-models and transforming them into an executable event pattern language J Krumeich, M Zapp, D Mayer, D Werth, P Loos Multikonferenz Wirtschaftsinformatik (MKWI) pp, 81-92, 2016 | 10 | 2016 |
| Business process learning on the job: A design science oriented approach and its empirical evaluation J Krumeich, D Werth, P Loos Knowledge Management & E-Learning 4 (4), 395, 2012 | 10 | 2012 |
| Sensor event mining with hybrid ensemble learning and evolutionary feature subset selection model N Mehdiyev, J Krumeich, D Werth, P Loos 2015 IEEE International Conference on Big Data (Big Data), 2159-2168, 2015 | 9 | 2015 |
