Goller, Michael, et al. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.”10.13152/IJRVET.8.2.4.__International Journal for Research in Vocational Education and Training, vol. 8, no. 2, 2021, pp. 208–223, doi:10.13152/IJRVET.8.2.4.

Gräßler, Iris, and Dominik Wiechel. “Systematische Bewertung von Auswirkungsanalysen Des Engineering Change Managements.”10.35199/dfx2021.12__DS 111: Proceedings of the 32nd Symposium Design for X, edited by Dieter Krause et al., 2021, doi:10.35199/dfx2021.12.

Gräßler, Iris, et al. “V-Model Based Development of Cyber-Physical Systems and Cyber-Physical Production Systems.”10.1016/j.procir.2021.05.119__Procedia CIRP, 2021, pp. 253–58, doi:10.1016/j.procir.2021.05.119.

Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.”https://doi.org/10.36001/phme.2021.v6i1.2843 __Proceedings of the European Conference of the PHM Society 2021, edited by Phuchttps://doi.org/10.36001/phme.2021.v6i1.2843 __Do et al., vol. 6, no. 1, 2021, doi:https://doi.org/10.36001/phme.2021.v6i1.2843 .

Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production Line.”10.36001/phme.2021.v6i1.3042__Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:10.36001/phme.2021.v6i1.3042.

Qudus, Umair, et al. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing Engines.”10.3233/SW-200420__Semantic Web, vol. 12, no. 6, ISO Press, pp. 843–68, doi:10.3233/SW-200420.

Gottschalk, Sebastian, et al. “ProConAR: A Tool Support for Model-Based AR Product Configuration.”10.1007/978-3-030-64266-2_14__Human-Centered Software Engineering. HCSE 2020, edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:10.1007/978-3-030-64266-2_14.

Schroder, Dominik, et al. “Far-Field Prediction Combining Simulations with near-Field Measurements for EMI Assessment of PCBs.”10.1049/pbcs072e_ch14__Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed.,10.1049/pbcs072e_ch14__The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32), doi:10.1049/pbcs072e_ch14.

Gottschalk, Sebastian, et al. “Hypothesis-Driven Adaptation of Business Models Based on Product Line Engineering.”10.1109/CBI49978.2020.00022__Proceedings of the 22nd IEEE International Conference on Business Informatics, IEEE, 2020, doi:10.1109/CBI49978.2020.00022.

Gottschalk, Sebastian, et al. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.”10.1007/978-3-030-52306-0_18__Business Modeling and Software Design, edited by Boris Shishkov, vol. 391, Springer International Publishing, 2020, pp. 276–86, doi:10.1007/978-3-030-52306-0_18.

Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.

Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400.

Otroshi, Mortaza, et al. “Stress State Dependent Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage Model.”10.1016/j.jajp.2020.100015__Journal of Advanced Joining Processes, vol. 1, Elsevier, 2020, doi:10.1016/j.jajp.2020.100015.

Schryen, Guido, et al. “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field.”10.17705/1CAIS.04607__Communications of the AIS, vol. 46, 2020, pp. 134–86, doi:10.17705/1CAIS.04607.

Pawelczyk, Sebastian, et al. “Absolute Rheological Measurements of Model Suspensions: Influence and Correction of Wall Slip Prevention Measures.”10.3390/ma13020467__Materials, 467, 2020, doi:10.3390/ma13020467.

Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.”10.1145/3377930.3390155__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 778–786, doi:10.1145/3377930.3390155.

Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.”10.1007/978-3-030-58112-1_4__Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.

Schmiedel, T., et al. “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture.”https://doi.org/10.1177/1094428118773858__Organizational Research Methods, 2019, pp. 941--968, doi:https://doi.org/10.1177/1094428118773858.

Szopinski, Daniel. “Can Stimuli Improve Business Model Idea Generation? Developing Software-Based Tools for Business Model Innovation.” Proceedings of the ACM Creativity &; Cognition, 2019.

Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models, vol. 7, no. 3, 2019, pp. 90–100.