Mirbabaie, M., Brünker, F., Möllmann Frick, N. R. J., &; Stieglitz, S. (2021). The rise of artificial intelligence – understanding the AI identity threat at the workplace. Electronic Markets, 32(1), 73–99.https://doi.org/10.1007/s12525-021-00496-x 

Seifert, S., &; Paleczek, L. (2021). Digitally Assessing Text Comprehension in Grades 3-4: Test Development and Validation. Electronic Journal of E-Learning, 19(5), -348.https://doi.org/10.34190/ejel.19.5.2467 

Seifert, S. (2021). Is Reading Comprehension Taken for Granted? An Analysis of Austrian Textbooks in Fourth and Sixth Grade. Technology, Knowledge and Learning, 26(2), 383–405.https://doi.org/10.1007/s10758-021-09490-w 

Han, D., Yang, K., &; Meschut, G. (2021). Mechanical joining of glass fibre reinforced polymer (GFRP) through an innovative solid self-piercing rivet. Journal of Materials Processing Technology, 296, Article 117182.https://doi.org/10.1016/j.jmatprotec.2021.117182 

Anders, P., Müller, H. M., Skjæret-Maroni, N., Vereijken, B., &; Baumeister, J. (2020). The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings. Medical &; Biological Engineering &; Computing, 58(11), 2673–2683.https://doi.org/10.1007/s11517-020-02252-3 

Prikoszovits, M. (2020). Christian Efing / Karl-Hubert Kiefer (Hg.): Sprachbezogene Curricula und Aufgaben in der beruflichen Bildung. Aktuelle Konzepte und Forschungsergebnisse. Deutsch als Fremdsprache, 2, Article 14.https://doi.org/10.37307/j.2198-2430.2018.02.14 

Schulze Darup, M. (2019). Verschlüsselte Regelung in der Cloud – Stand der Technik und offene Probleme. At - Automatisierungstechnik, 67(8), 668–681.https://doi.org/10.1515/auto-2019-0022 

Taetz, B., Teufl, W., Weidmann, A., Pietschmann, J., Jöllenbeck, T., &; Bleser, G. (2019). Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability. Computer Methods in Biomechanics and Biomedical Engineering, 23(1), 12–22.https://doi.org/10.1080/10255842.2019.1688310 

Lauterbach, R., &; Schwenker, S. (2016). Equivariant bifurcations in four-dimensional fixed point spaces. Dynamical Systems, 32(1), 117–147.https://doi.org/10.1080/14689367.2016.1219696 

Habernal, I., &; Gurevych, I. (2016). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics, 43(1), 125–179.https://doi.org/10.1162/coli_a_00276 

Vidor, F. F., Wirth, G., Assion, F., Wolff, K., &; Hilleringmann, U. (2013). Characterization and Analysis of the Hysteresis in a ZnO Nanoparticle Thin-Film Transistor. IEEE Transactions on Nanotechnology, 12(3), 296–303.https://doi.org/10.1109/tnano.2012.2236891 

Kröger, C., Böcker, J., &; Neiß, K. (2010). Elektromobilität — ein aktuelles Forschungsfeld insbesondere der Regelungstechnik. at - Automatisierungstechnik, 58(10), 542–545.https://doi.org/10.1524/auto.2010.9082 

Amann, N., Böcker, J., &; Prenner, F. (2004). Active Damping of Drive Train Oscillations for an Electrically Driven Vehicle. IEEE/ASME Transactions on Mechatronics, 9(4), 697–700.https://doi.org/10.1109/tmech.2004.839036 

Blömer, J. (2002). Denesting by Bounded Degree Radicals. Algorithmica, 28(1), 2–15.https://doi.org/10.1007/s004530010028 

Mahnken, R. (2002). Strength difference in compression and tension and pressure dependence of yielding in elasto-plasticity. Computer Methods in Applied Mechanics and Engineering, 190(39), 5057–5080.https://doi.org/10.1016/s0045-7825(00)00364-9 

Mahnken, R., &; Kohlmeier, M. (2002). Finite element simulation for rock salt with dilatancy boundary coupled to fluid permeation. Computer Methods in Applied Mechanics and Engineering, 190(32–33), 4259–4278.https://doi.org/10.1016/s0045-7825(00)00317-0 

Mahnken, R., Tikhomirov, D., &; Stein, E. (2002). Implicit integration scheme and its consistent linearization for an elastoplastic-damage model with application to concrete. Computers &;amp; Structures, 75(2), 135–143.https://doi.org/10.1016/s0045-7949(99)00089-9 

Mahnken, R. (2002). A comprehensive study of a multiplicative elastoplasticity model coupled to damage including parameter identification. Computers &;amp; Structures, 74(2), 179–200.https://doi.org/10.1016/s0045-7949(98)00296-x 

Mahnken, R., Johansson, M., &; Runesson, K. (2002). Parameter estimation for a viscoplastic damage model using a gradientbased optimization algorithm. Engineering Computations, 15(7), 925–955.https://doi.org/10.1108/02644409810236920 

Mahnken, R., &; Stein, E. (2002). A unified approach for parameter identification of inelastic material models in the frame of the finite element method. Computer Methods in Applied Mechanics and Engineering, 136(3–4), 225–258.https://doi.org/10.1016/0045-7825(96)00991-7 

Mahnken, R., &; Stein, E. (2002). The identification of parameters for visco-plastic models via finite-element methods and gradient methods. Modelling and Simulation in Materials Science and Engineering, 2(3A), 597–616.https://doi.org/10.1088/0965-0393/2/3a/013 

Mahnken, R., &; Stein, E. (2002). Parameter identification for finite deformation elasto-plasticity in principal directions. Computer Methods in Applied Mechanics and Engineering, 147(1–2), 17–39.https://doi.org/10.1016/s0045-7825(97)00008-x