Schramm, T., Gasser, I., Schwenker, S., Seiler, R., Lohse, A., &; Zobel, K. (2020). Linear Algebra driven by Data Science. Hamburg Open Online University.

Kolb, M., &; Savov, M. (2020). A Characterization of the Finiteness of Perpetual Integrals of Levy Processes. Bernoulli, 26(2), 1453–1472.https://doi.org/10.48550/arXiv.1903.03792 

Haddenhorst, B., Hüllermeier, E., &; Kolb, M. (2020). Generalized transitivity: A systematic comparison of concepts with an application to preferences in the Babington Smith model. International Journal of Approximate Reasoning, 119(2), 373–407.https://doi.org/10.1016/j.ijar.2020.01.007 

Hanusch, M. (2020). The regularity problem for Lie groups with asymptotic estimate Lie algebras. Indagationes Mathematicae, 31(1), 152–176.https://doi.org/10.1016/j.indag.2019.12.001 

Hanusch, M. (2020). The Strong Trotter Property for Locally ;c-convex Lie Groups. Journal of Lie Theory, 30(1), 025–032.

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.

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.

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 

Lünne, S., Schnell, S., &; Biehler, R. (2020). Motivation of out-of-field teachers for participating in professional development courses in mathematics. European Journal of Teacher Education, 44(5), 688–705.https://doi.org/10.1080/02619768.2020.1793950 

Barzel, B., &; Biehler, R. (2020). Theory-Based Design of Professional Development for Upper Secondary Teachers–Focusing on the Content-Specific Use of Digital Tools. In S. Zehetmeier, D. Potari, &; M. Ribeiro (Eds.), Professional development and knowledge of mathematics teachers (pp. 163–192). Routledge.

Biehler, R., &; Durand-Guerrier, V. (2020). University Mathematics Didactic Research on Number Theory, Algebra, Discrete Mathematics, Logic. 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.

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.

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 

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 

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 

Griese, B., Nieszporek, R., &; Biehler, R. (2020). Frei verfügbare Materialien für Unterricht und Fortbildung: Stochastik verständnisorientiert unterrichten. Stochastik in der Schule, 40(1), 10–17.

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 

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.

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 

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 

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.

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 

Schürmann, M., Liebendörfer, M., Gildehaus, L., Schaper, N., Hochmuth, R., Biehler, R., Lankeit, E., Kuklinski, C., &; Ruge, J. (2020). Chancen und Möglichkeiten eines Netzwerks von Mathematischen Lernzentren in Deutschland - Bericht zum digitalen Lernzentrumsworkshop am 22.10.2020. Dghd-Newsletter, 4/2020, 24–26.

Schürmann, M., Schaper, N., Liebendörfer, M., Biehler, R., Lankeit, E., Hochmuth, R., Ruge, J., &; Kuklinski, C. (2020). Ein Kurzbericht aus dem Forschungsprojekt WiGeMath-Lernzentren als Unterstützungsmaßnahme für mathematikbezogenes Lernen in der Studieneingangsphase. Dghd-Newsletter, 01/2020, 25–29.

Kuklinski, C., Leis, E., Liebendörfer, M., &; Hochmuth, R. (2020). Erklärung von Mathematikleistung im Ingenieursstudium. In A. Frank, S. Krauss, &; K. Binder (Eds.), Beiträge zum Mathematikunterricht 2019 53. Jahrestagung der Gesellschaft für Didaktik der Mathematik. WTM-Verlag.

Khellaf, S., Kuklinski, C., Liebendörfer, M., &; Hochmuth, R. (2020). Design und Evaluation einer mathematischen Unterstützungsmaßnahme für Ingenieure. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020 (pp. 493–496). WTM-Verlag.

Haak, I., Gildehaus, L., &; Liebendörfer, M. (2020). Entstehung und Bedeutung von Lerngruppen in der Studieneingangsphase. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020 (pp. 1405–1408). WTM-Verlag.

Liebendörfer, M., Gildehaus, L., &; Göller, R. (2020). Geschlechterunterschiede beim Einsatz von Lernstrategien in Mathematikveranstaltungen. In H.-S. Siller, W. Weigel, &; J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020 (pp. 1409–1412). WTM-Verlag.

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 

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 (pp. 125–128). WTM-Verlag.

Winkler, M. (2020). Single-point blow-up in the Cauchy problem for the higher-dimensional Keller-Segel system. Nonlinearity, 33, 5007–5048.

Winkler, M. (2020). Boundedness in a two-dimensional Keller-Segel-Navier-Stokes system involving a rapidly diffusing repulsive signal. Zeitschrift Für Angewandte Mathematik Und Physik, 71, Article 10.

Winkler, M. (2020). Can simultaneous density-determined enhacement of diffusion and cross-diffusion foster boundedness in Keller-Segel type systems involving signal-dependent motilities? Nonlinearity, 33, 6590–6623.

Winkler, M. (2020). The role of superlinear damping in the construction of solutions to drift-diffusion problems with initial data in $L^1$. Advances in Nonlinear Analysis, 9, 526–566.

Winkler, M. (2020). Attractiveness  of constant states in logistic-type Keller-Segel systems involving subquadratic growth restrictions. Advanced Nonlinear Studies, 20, 795–817.

Winkler, M. (2020). Small-mass solutions in the two-dimensional Keller-Segel system coupled to the Navier-Stokes equations. SIAM Journal on Mathematical Analysis, 52, 2041–2080.

Winkler, M. (2020). Can Fluid Interaction Influence the Critical Mass for Taxis-Driven Blow-up in Bounded Planar Domains? Acta Applicandae Mathematicae, 169, 577–591.

Winkler, M. (2020). Blow-up profiles and liefe beyond blow-up in the fully parabolic Keller-Segel system. Journal d’Analyse Mathématique, 141, 585–624.

Rodriguez, N., &; Winkler, M. (2020). Relaxation by nonlinear diffusion enhancement in a two-dimensional cross-diffusion model for urban crime propagation. Mathematical Models &; Methods in Applied Sciences, 30, 2105–2137.

Li, G., Tao, Y., &; Winkler, M. (2020). Larg time behavior in a predator-prey system with indirect pursuit-evasion interaction. Discrete and Continuous Dynamical Systems --B, 25, 4383–4398.

Tao, Y., &; Winkler, M. (2020). Global classical solutions to a doubly haptotactic cross-diffusion system modeling oncolytic virotherapy. Journal of Differential Equations, 268, 4973–4997.

Tao, Y., &; Winkler, M. (2020). A critical virus production rate for blow-up suppression in a haptotaxis model for oncolytic virotherapy. Nonlinear Analysis, 198, Article 111870.

Stinner, C., &; Winkler, M. (2020). Refined regularity and stabilization properties in a degenerate haptotaxis system. Discrete and Continuous Dynamical Systems --A, 40, 4039–4058.

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 

Rösler, M. (2020). Riesz distributions and Laplace transform in the Dunkl setting of type A. Journal of Functional Analysis, 278(12), Article 108506.https://doi.org/10.1016/j.jfa.2020.108506 

Luks, T., &; Xiao, Y. (2020). Multiple Points of Operator Semistable Lévy Processes. Journal of Theoretical Probability, 33(1), 153–179.https://doi.org/10.1007/s10959-018-0859-4 

Steiner, E., &; Winkler, M. (2020). Mathematical Analysis of Two Competing Cancer Cell Migration Mechanisms Driven by Interstitial Fluid Flow. Journal of Nonlinear Science, 30, 1809–1847.

Elsenhans, A.-S., Klüners, J., &; Nicolae, F. (2020). Imaginary quadratic number fields with class groups of small exponent. Acta Arithmetica, 193(3), 217–233.https://doi.org/10.4064/aa180220-20-3 

Klüners, J., &; Müller, R. (2020). The conductor density of local function fields with abelian Galois group. Journal of Number Theory, 212, 311–322.https://doi.org/10.1016/j.jnt.2019.11.007 

Burban, I., &; Zheglov, A. (2020). Cohen-Macaulay modules over the algebra of planar quasi-invariants and Calogero-Moser systems. Proceedings of the London Mathematical Society, 121(4), 1033–1082.https://doi.org/10.1112/plms.12341