| Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach N Djurdjevac Conrad, L Helfmann, J Zonker, S Winkelmann, C Schütte EPJ Data Science 7 (1), 1-22, 2018 | 37 | 2018 |
| Optimal control of molecular dynamics using Markov state models C Schütte, S Winkelmann, C Hartmann Mathematical programming 134, 259-282, 2012 | 37 | 2012 |
| The spatiotemporal master equation: Approximation of reaction-diffusion dynamics via Markov state modeling S Winkelmann, C Schütte The Journal of Chemical Physics 145 (21), 2016 | 36 | 2016 |
| Hybrid models for chemical reaction networks: Multiscale theory and application to gene regulatory systems S Winkelmann, C Schütte The Journal of chemical physics 147 (11), 2017 | 32 | 2017 |
| Stochastic dynamics in computational biology S Winkelmann, C Schütte Springer, 2020 | 27 | 2020 |
| Optimal treatment strategies in the context of ‘treatment for prevention’against HIV-1 in resource-poor settings S Duwal, S Winkelmann, C Schütte, M von Kleist PLoS computational biology 11 (4), e1004200, 2015 | 25 | 2015 |
| From interacting agents to density-based modeling with stochastic PDEs L Helfmann, N Djurdjevac Conrad, A Djurdjevac, S Winkelmann, ... Communications in Applied Mathematics and Computational Science 16 (1), 1-32, 2021 | 24 | 2021 |
| Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading S Winkelmann, J Zonker, C Schütte, ND Conrad Mathematical biosciences 336, 108619, 2021 | 20 | 2021 |
| Agent-based modeling: Population limits and large timescales JH Niemann, S Winkelmann, S Wolf, C Schütte Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (3), 2021 | 18 | 2021 |
| A probabilistic framework for particle-based reaction–diffusion dynamics using classical Fock space representations MJ Del Razo, D Frömberg, AV Straube, C Schütte, F Höfling, ... Letters in Mathematical Physics 112 (3), 49, 2022 | 17 | 2022 |
| Markov control processes with rare state observation: theory and application to treatment scheduling in HIV–1 S Winkelmann, C Schütte, M Kleist Communications in Mathematical Sciences 12 (5), 859-877, 2014 | 15 | 2014 |
| Chemical diffusion master equation: Formulations of reaction–diffusion processes on the molecular level MJ del Razo, S Winkelmann, R Klein, F Höfling Journal of Mathematical Physics 64 (1), 2023 | 10 | 2023 |
| Stochastic pH oscillations in a model of the urea–urease reaction confined to lipid vesicles AV Straube, S Winkelmann, C Schütte, F Höfling The Journal of Physical Chemistry Letters 12 (40), 9888-9893, 2021 | 10 | 2021 |
| Variance of filtered signals: Characterization for linear reaction networks and application to neurotransmission dynamics A Ernst, C Schütte, SJ Sigrist, S Winkelmann Mathematical Biosciences 343, 108760, 2022 | 7 | 2022 |
| Markov decision processes with information costs: Theory and application S Winkelmann | 7 | 2013 |
| Rate-limiting recovery processes in neurotransmission under sustained stimulation A Ernst, N Unger, C Schütte, AM Walter, S Winkelmann Mathematical Biosciences 362, 109023, 2023 | 5 | 2023 |
| A route to the hydrodynamic limit of a reaction-diffusion master equation using gradient structures A Montefusco, C Schütte, S Winkelmann SIAM Journal on Applied Mathematics 83 (2), 837-861, 2023 | 5 | 2023 |
| Modelling altered signalling of G-protein coupled receptors in inflamed environment to advance drug design A Thies, V Sunkara, S Ray, H Wulkow, MÖ Celik, F Yergöz, C Schütte, ... Scientific Reports 13 (1), 607, 2023 | 3 | 2023 |
| Synchronization and Random Attractors in Reaction Jump Processes M Engel, G Olicón-Méndez, N Wehlitz, S Winkelmann Journal of Dynamics and Differential Equations, 1-36, 2024 | 2 | 2024 |
| Large population limits of Markov processes on random networks M Lücke, J Heitzig, P Koltai, N Molkenthin, S Winkelmann Stochastic Processes and their Applications 166, 104220, 2023 | 2 | 2023 |
