| Estimating the eigenvalue error of Markov state models N Djurdjevac, M Sarich, C Schütte Multiscale Modeling & Simulation 10 (1), 61-81, 2012 | 98 | 2012 |
| 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 | 43 | 2018 |
| 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 | 32 | 2021 |
| Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts H Wulkow, TOF Conrad, N Djurdjevac Conrad, SA Mueller, K Nagel, ... PLoS One 16 (4), e0249676, 2021 | 29 | 2021 |
| Finding dominant structures of nonreversible Markov processes ND Conrad, M Weber, C Schütte Multiscale Modeling & Simulation 14 (4), 1319-1340, 2016 | 28 | 2016 |
| Tracking online topics over time: understanding dynamic hashtag communities P Lorenz-Spreen, F Wolf, J Braun, G Ghoshal, N Djurdjevac Conrad, ... Computational social networks 5, 1-18, 2018 | 26 | 2018 |
| Modelling opinion dynamics under the impact of influencer and media strategies L Helfmann, N Djurdjevac Conrad, P Lorenz-Spreen, C Schütte Scientific Reports 13 (1), 19375, 2023 | 25 | 2023 |
| 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 | 24 | 2021 |
| Modularity revisited: A novel dynamics-based concept for decomposing complex networks M Sarich, N Djurdjevac, S Bruckner, TOF Conrad, C Schütte Journal of Computational Dynamics 1 (1), 191-212, 2014 | 24 | 2014 |
| On Markov state models for metastable processes N Djurdjevac, M Sarich, C Schütte Proceedings of the International Congress of Mathematicians 2010 (ICM 2010 …, 2010 | 22 | 2010 |
| Random walks on complex modular networks12 N Djurdjevac, S Bruckner, TO Conrad, C Schütte JNAIAM 6 (1-2), 29-50, 2011 | 21 | 2011 |
| Mathematical Modeling of the Spreading of Innovations in the Ancient World: Communicated by Michael Meyer ND Conrad, D Furstenau, A Grabundzija, L Helfmann, M Park, W Schier, ... eTopoi. Journal for Ancient Studies 2018, 1-32, 2018 | 14 | 2018 |
| Koopman-based spectral clustering of directed and time-evolving graphs S Klus, N Djurdjevac Conrad Journal of Nonlinear Science 33 (1), 8, 2023 | 13 | 2023 |
| Identifying lncRNA-mediated regulatory modules via ChIA-PET network analysis D Thiel, ND Conrad, E Ntini, RX Peschutter, H Siebert, A Marsico BMC bioinformatics 20, 1-16, 2019 | 13 | 2019 |
| Reactive flows and unproductive cycles for random walks on complex networks R Banisch, N Djurdjevac Conrad, C Schütte The European Physical Journal Special Topics 224 (12), 2369-2387, 2015 | 13* | 2015 |
| Cycle-flow–based module detection in directed recurrence networks R Banisch, ND Conrad Europhysics Letters 108 (6), 68008, 2015 | 13 | 2015 |
| Modularity of directed networks: Cycle decomposition approach ND Conrad, R Banisch, C Schütte Journal of Computational Dynamics 2 (1), 1-24, 2015 | 13 | 2015 |
| Feedback loops in opinion dynamics of agent-based models with multiplicative noise N Djurdjevac Conrad, J Köppl, A Djurdjevac Entropy 24 (10), 1352, 2022 | 12 | 2022 |
| Methods for analyzing complex networks using random walker approaches N Djurdjevac | 11 | 2012 |
| Multilevel optimization for policy design with agent-based epidemic models JH Niemann, S Uram, S Wolf, ND Conrad, M Weiser Journal of Computational Science 77, 102242, 2024 | 9 | 2024 |
Tim ConradZuse Institute BerlinVerified email at zib.de
