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Feudel, F., &; Biehler, R. (2020). Students’ Understanding of the Derivative Concept in the Context of Mathematics for Economics. Journal Für Mathematik-Didaktik, 42(1), 273–305.https://doi.org/10.1007/s13138-020-00174-z 
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Kempen, L., &; Biehler, R. (2020). Using Figurate Numbers in Elementary Number Theory – Discussing a ‘Useful’ Heuristic From the Perspectives of Semiotics and Cognitive Psychology. Frontiers in Psychology, 11, 1180.https://doi.org/10.3389/fpsyg.2020.01180 
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Kempen, L., Krämer, S., &; Biehler, R. (2020). Was verstehen Schülerinnen und Schüler unter eBeweis“? 3 ausgewählte Ergebnisse einer Pilotstudie. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020 (pp. 4893492). WTM-Verlag.https://doi.org/10.17877/DE290R-21418 
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Biehler, R., Kempen, L., &; Paravicini, W. (2020). Hochschuldidaktik Mathematik: Fachbezogenes Design und empirische Studien. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020 (pp. 1347–1348). WTM-Verlag.https://doi.org/10.17877/DE290R-21487 
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Fleischer, Y., &; Biehler, R. (2020). Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020. WTM-Verlag.https://doi.org/10.17877/DE290R-21301 
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Lünne, S., Schnell, S., &; Biehler, R. (2020). Ffunt@OWL – Konzept und Gestaltungsprinzipien zur Qualifizierung fachfremd Mathematik unterrichtender Lehrkräfte der Sekundarstufe I. In R. Porsch &; B. Rösken-Winter (Eds.), Professionelles Handeln im fachfremd erteilten Mathematikunterricht (pp. 141–167). Springer Spektrum.https://doi.org/10.1007/978-3-658-27293-7_6 
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Lankeit, E., &; Biehler, R. (2020). “I only know the absolute value function”–About students’ concept images and example spaces concerning continuity and differentiability. In T. Hausberger, M. Bosch, &; F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020). University of Carthage and INDRUM.
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Kempen, L., Krämer, S., &; Biehler, R. (2020). Investigating high school graduates’ personal meaning of the notion of “mathematical proof.” In T. Hausberger, M. Bosch, &; F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020) (pp. 358–367). University of Carthage and INDRUM.
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Lankeit, E., Bauer, T., &; Biehler, R. (2020). Votingfragen in den Übungen zur Analysis – Wirkung verschiedener Einsatzszenarien. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020 (pp. 1361–1364). WTM-Verlag.https://doi.org/10.17877/DE290R-21396 
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Schürmann, M., Gildehaus, L., Liebendörfer, M., Schaper, N., Biehler, R., Hochmuth, R., Kuklinski, C., &; Lankeit, E. (2020). Mathematics learning support centres in Germany—an overview. Teaching Mathematics and Its Applications: An International Journal of the IMA, 40(2), 99–113.https://doi.org/10.1093/teamat/hraa007 
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Liebendörfer, M., Göller, R., Gildehaus, L., Kortemeyer, J., Biehler, R., Hochmuth, R., Ostsieker, L., Rode, J., &; Schaper, N. (2020). The role of learning strategies for performance in mathematics courses for engineers. In T. Hausberger, M. Bosch, &; F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020). University of Carthage and INDRUM.
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Biehler, R., Liebendörfer, M., Schmitz, A., Fleischmann, Y., Krämer, S., Ostsieker, L., &; Schlüter, S. (2020). studiVEMINTvideos – Mathematische Lernvideos zur Studienvorbereitung und Unterstützung im ersten Studienjahr. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020. WTM.https://doi.org/10.17877/DE290R-21234 
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Biehler, R., Fleischer, Y., Budde, L., Frischemeier, D., Gerstenberger, D., Podworny, S., &; Schulte, C. (2020). Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE). ISI/IASE.
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Budde, L., Frischemeier, D., Biehler, R., Fleischer, Y., Gerstenberger, D., Podworny, S., &; Schulte, C. (2020). Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020. ISI/IASE.
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Liebendörfer, M., Göller, R., Biehler, R., Hochmuth, R., Kortemeyer, J., Ostsieker, L., Rode, J., &; Schaper, N. (2020). LimSt – Ein Fragebogen zur Erhebung von Lernstrategien im mathematikhaltigen Studium. Journal für Mathematik-Didaktik.https://doi.org/10.1007/s13138-020-00167-y 
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Black, T. (2019). Global generalized solutions to a parabolic-elliptic Keller-Segel system with singular sensitivity. Discrete &;amp; Continuous Dynamical Systems - S, 13(2), 119–137.https://doi.org/10.3934/dcdss.2020007 
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Black, T. (2019). The Stokes Limit in a Three-Dimensional Chemotaxis-Navier–Stokes System. Journal of Mathematical Fluid Mechanics, 22(1), Article 1.https://doi.org/10.1007/s00021-019-0464-z 
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Dyatlov, S., Borthwick, D., &; Weich, T. (2019). Improved fractal Weyl bounds for hyperbolic manifolds. With an appendix by David Borthwick, Semyon Dyatlov and Tobias Weich. Journal of the European Mathematical Society, 21(6), 1595–1639.https://doi.org/10.4171/jems/867 
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Hoffmann, M. (2019). Rezension: Klaus Volkert: In höheren Räumen – Der Weg der Geometrie in die vierte Dimension. In Mathematische Semesterberichte (Vol. 66, pp. 117–118).https://doi.org/10.1007/s00591-018-00244-x 
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Kolb, M., &; Liesenfeld, M. (2019). Stochastic Spikes and Poisson Approximation of One-Dimensional Stochastic Differential Equations with Applications to Continuously Measured Quantum Systems. Annales Henri Poincaré, 20(6), 1753–1783.http://dx.doi.org/10.1007/s00023-019-00772-9 
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Hanusch, M. (2019). Differentiability of the evolution map and Mackey continuity. Forum Mathematicum, 31(5), 1139–1177.https://doi.org/10.1515/forum-2018-0310 
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Kirschmer, M. (2019). Determinant groups of Hermitian lattices over local fields. Archiv Der Mathematik, 113(4), 337–347.https://doi.org/10.1007/s00013-019-01348-z 
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Dröse, J. (2019). Textaufgaben lesen und verstehen lernen – Entwicklungsforschungsstudie zur mathematikspezifischen Leseverständnisförderung. Springer Spektrum.
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Bruns, J., &; Eichen, L. (2019). Frühe mathematische Bildung im elementarpädagogischen Alltag. KiTa aktuell Österreich, 7(5), 85–86.
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Bruns, J., &; Gasteiger, H. (2019). VimaS_num: Measuring situational perception in mathematics of early childhood teachers. In M. Graven, H. Venkat, A. Essien, &; P. Vale (Eds.), Proceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 129–136).
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Gasteiger, H., Bruns, J., Benz, C., Brunner, E., &; Sprenger, P. (2019). Mathematical pedagogical content knowledge of early childhood teachers: a standardized situation-related measurement approach. ZDM, 52, 193–205.https://doi.org/10.1007/s11858-019-01103-2 
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Richters, D., Lass, M., Walther, A., Plessl, C., &; Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585.https://doi.org/10.4208/cicp.OA-2018-0053 
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Dröse, J. (2019). Comprehending mathematical problem texts – Fostering subject-specific reading strategies for creating mental text representation. In U. T. Jankvist, M. van den Heuvel-Panhuizen, &; M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education. Freudenthal Group &; ERME.
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Dröse, J. (2019). Mathematical and linguistic features of word problems in grade 4 and 5 German textbooks – A compara-tive corpus linguistic approach. In S. Rezat, M. Hattermann, J. Schumacher, &; H. Wuschke (Eds.), Proceedings of the Third International Conference on Mathematics Textbook Research and Development  (pp. 161–166).
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Faulwasser, T., Flaßkamp, K., Ober-Blöbaum, S., &; Worthmann, K. (2019). Towards velocity turnpikes in optimal control of mechanical systems: Vol. 52(16) (IFAC-PapersOnLine, Ed.; pp. 490–495).
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Delucchi, R., Neugebauer, P., Dröse, J., Prediger, S., &; Mertins, B. (2019). Eye-Tracking-Studie zum Erfassen von Referenzstrukturen in Textaufgaben der Klasse 5. In A. Frank, S. Krauss, &; K. Binder (Eds.), Beiträge zum Mathematikunterricht 2019  (pp. 1239–1242). WTM.
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Ziessler, A., Dellnitz, M., &; Gerlach, R. (2019). The Numerical Computation of Unstable Manifolds for Infinite Dimensional Dynamical Systems by Embedding Techniques. SIAM Journal on Applied Dynamical Systems, 18(3), 1265–1292.https://doi.org/10.1137/18m1204395 
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Wessel, L. (2019). How theories of language-responsive mathematics can inform teaching designs for vocational mathematics. In U. T. Jankvist, M. van den Heuvel-Panhuizen, &; M. Veldhuis (Eds.), Eleventh Congress of the European Society for Research in Mathematics Education (CERM) (hal-02409325; Vol. TW, Issue 12). Freudenthal Group.
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Barwell, R., Wessel, L., &; Parra, A. (2019). Language diversity and mathematics education: new developments. Research in Mathematics Education, 21(2), 113–118.https://doi.org/10.1080/14794802.2019.1638824 
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Barwell, R., Wessel, L., &; Parra, A. (Eds.). (2019). Mathematics education in a multilingual and multicultural environment. Post-Publikation der Topic Study Group 31 Beiträge der ICME-Konferenz 2016 in Hamburg.
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Kuklinski, C., Liebendörfer, M., Hochmuth, R., Biehler, R., Schaper, N., Lankeit, E., Leis, E., &; Schürmann, M. (2019). Features of innovative lectures that distinguish them from traditional lectures and their evaluation by attending students. In Proceedings of CERME 11.
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McLachlan, R. I., &; Offen, C. (2018). Bifurcation of solutions to Hamiltonian boundary value problems. Nonlinearity, 2895–2927.https://doi.org/10.1088/1361-6544/aab630 
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McLachlan, R. I., &; Offen, C. (2018). Symplectic integration of boundary value problems. Numerical Algorithms, 1219–1233.https://doi.org/10.1007/s11075-018-0599-7 
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Hanke, S., Peitz, S., Wallscheid, O., Klus, S., Böcker, J., &; Dellnitz, M. (2018). Koopman Operator-Based Finite-Control-Set Model Predictive Control for  Electrical Drives. ArXiv:1804.00854.
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Klus, S., Nüske, F., Koltai, P., Wu, H., Kevrekidis, I., Schütte, C., &; Noé, F. (2018). Data-Driven Model Reduction and Transfer Operator Approximation. Journal of Nonlinear Science, 985–1010.https://doi.org/10.1007/s00332-017-9437-7 
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Boninsegna, L., Nüske, F., &; Clementi, C. (2018). Sparse learning of stochastic dynamical equations. The Journal of Chemical Physics.https://doi.org/10.1063/1.5018409 
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Hruska, E., Abella, J. R., Nüske, F., Kavraki, L. E., &; Clementi, C. (2018). Quantitative comparison of adaptive sampling methods for protein dynamics. The Journal of Chemical Physics.https://doi.org/10.1063/1.5053582 
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Schumacher, J. (2018). Semiotische Analyse von Sinnkonstruktionsprozessen bei einem innermathematischen Zugang zum Erlernen negativer Zahlen. In Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018. Münster: WTM-Verlag.
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Liebendörfer, M. (2018). Psychologische Grundbedürfnisse im frühen Mathematikstudium. In F. Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018 (pp. 1171–1174). Münster: WTM-Verlag.
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Liebendörfer, M., Kuklinski, C., &; Hochmuth, R. (2018). Auswirkungen von innovativen Vorlesungen für Lehramtsstudierende in der Studieneingangsphase. In F. Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018 (pp. 1175–1178). Münster: WTM-Verlag.
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Liebendörfer, M. (2018). Motivationsentwicklung im Mathematikstudium. Wiesbaden: Springer Fachmedien Wiesbaden.https://doi.org/10.1007/978-3-658-22507-0 
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Gebken, B., Peitz, S., &; Dellnitz, M. (2018). A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems. In Numerical and Evolutionary Optimization – NEO 2017. Cham.https://doi.org/10.1007/978-3-319-96104-0_2 
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Peitz, S., &; Dellnitz, M. (2018). A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction. Mathematical and Computational Applications, 23(2).https://doi.org/10.3390/mca23020030 
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Beermann, D., Dellnitz, M., Peitz, S., &; Volkwein, S. (2018). Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition. In Reduced-Order Modeling (ROM) for Simulation and Optimization (pp. 47–72). Cham.https://doi.org/10.1007/978-3-319-75319-5_3 
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Klus, S., Gelß, P., Peitz, S., &; Schütte, C. (2018). Tensor-based dynamic mode decomposition. Nonlinearity, 31(7), 3359–3380.https://doi.org/10.1088/1361-6544/aabc8f 
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Beermann, D., Dellnitz, M., Peitz, S., &; Volkwein, S. (2018). POD-based multiobjective optimal control of PDEs with non-smooth objectives. In PAMM (pp. 51–54).https://doi.org/10.1002/pamm.201710015 
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