Gottschalk, S., Yigitbas, E., &; Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing.https://doi.org/10.1007/978-3-030-52306-0_18 
LibreCat: /record/16934
DOI: 10.1007/978-3-030-52306-0_18

Triebus, M., &; Tröster, T. (2020). A Holistic Approach to Optimization-Based Design of Hybrid Materials. In Proceedings 4th International Conference Hybrid Materials &; Structures. Web-Conference.
LibreCat: /record/16939

Schryen, G., Wagner, G., &; Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.
LibreCat: /record/17019

Wagner, G., Empl, P., &; Schryen, G. (2020). Designing a Novel Strategy for Exploring Literature Corpora. In 28th European Conference on Information Systems (ECIS 2020). Marrakesh, Morocco.
LibreCat: /record/17055

Dreiling, D., Itner, D. T., Feldmann, N., Gravenkamp, H., &; Henning, B. (2020). Increasing the sensitivity in the determination of material parameters by using arbitrary loads in ultrasonic transmission measurements. Presented at the Sensor and Measurement Science International, Nürnberg: AMA Service GmbH.https://doi.org/10.5162/SMSI2020/D1.3 
LibreCat: /record/17089
DOI: 10.5162/SMSI2020/D1.3

Schryen, G. (2020). Integrating Management Science into the HPC Research Ecosystem. Communications of the ACM, 63(9), 35–37.
LibreCat: /record/15414

Claes, L., Baumhögger, E., Rüther, T., Gierse, J., Tröster, T., &; Henning, B. (2020). Reduction of systematic measurement deviation in acoustic absorption measurement systems. Fortschritte Der Akustik - DAGA 2020, 1077–1080.
LibreCat: /record/15490

Schryen, G., Kliewer, N., &; Fink, A. (2020). Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges". Business &; Information Systems Engineering, 62(01/2020), 21–23.
LibreCat: /record/15513

Schryen, G. (2020). Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research, 287(1), 1–18.
LibreCat: /record/15022

Liu, B., Sain, B., Reineke, B., Zhao, R., Meier, C., Huang, L.,https://doi.org/10.1002/adom.201902050__Zentgraf, T. (2020). Nonlinear Wavefront Control by Geometric-Phase Dielectric Metasurfaces: Influence of Mode Field and Rotational Symmetry. Advanced Optical Materials, 8(9).https://doi.org/10.1002/adom.201902050 
LibreCat: /record/16197
DOI: 10.1002/adom.201902050

Schneider, S. B., Satheeschandran, N. P., Peuster, M., &; Karl, H. (2020). Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium: IEEE.
LibreCat: /record/16219

Szubartowicz, E., &; Schryen, G. (2020). Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements. Journal of Information System Security, 16(1), 3–31.
LibreCat: /record/16249

zur Heiden, P., Berendes, C. I., &; Beverungen, D. (2020). Designing City Center Area Recommendation Systems . In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam.https://doi.org/doi.org/10.30844/wi_2020_e1-heiden 
LibreCat: /record/16285
DOI: doi.org/10.30844/wi_2020_e1-heiden

Bieker, K., Peitz, S., Brunton, S. L., Kutz, J. N., &; Dellnitz, M. (2020). Deep model predictive flow control with limited sensor data and online learning. Theoretical and Computational Fluid Dynamics, 34, 577–591.https://doi.org/10.1007/s00162-020-00520-4 
LibreCat: /record/16290
DOI: 10.1007/s00162-020-00520-4

Block, L. (2020). Network formation with NIMBY constraints.
LibreCat: /record/23568

Ficara, E., &; d’Agostini, F. (2020). Perché celebrare Hegel? La sua dialettica è un brand, il suo pensiero una febbre benefica. La Stampa.
LibreCat: /record/30180

Otroshi, M., Rossel, M., &; Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1.https://doi.org/10.1016/j.jajp.2020.100015 
LibreCat: /record/20143
DOI: 10.1016/j.jajp.2020.100015

Schryen, G., Wagner, G., Benlian, A., &; Paré, G. (2020). A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field. Communications of the AIS, 46, 134–186.https://doi.org/10.17705/1CAIS.04607 
LibreCat: /record/11946
DOI: 10.17705/1CAIS.04607

Schryen, G., Kliewer, N., &; Fink, A. (2020). High Performance Business Computing. Business &; Information Systems Engineering, 62(1), 1–3.https://doi.org/10.1007/s12599-019-00622-2 
LibreCat: /record/14985
DOI: 10.1007/s12599-019-00622-2

Gerlach, R., Ziessler, A., Eckhardt, B., &; Dellnitz, M. (2020). A Set-Oriented Path Following Method for the Approximation of Parameter Dependent Attractors. SIAM Journal on Applied Dynamical Systems, 705–723.https://doi.org/10.1137/19m1247139 
LibreCat: /record/16710
DOI: 10.1137/19m1247139