| Fast computation of matrix function-based centrality measures for layer-coupled multiplex networks K Bergermann, M Stoll Physical Review E 105 (3), 034305, 2022 | 15* | 2022 |
| Semi-supervised learning for aggregated multilayer graphs using diffuse interface methods and fast matrix-vector products K Bergermann, M Stoll, T Volkmer SIAM Journal on Mathematics of Data Science 3 (2), 758-785, 2021 | 11 | 2021 |
| Orientations and matrix function-based centralities in multiplex network analysis of urban public transport K Bergermann, M Stoll Applied Network Science 6, 1-33, 2021 | 10 | 2021 |
| Modeling the morphology evolution of organic solar cells K Bergermann GAMM Archive for Students 1 (1), 18-27, 2019 | 4 | 2019 |
| Code release: Multiplex-matrix-function-centralities K Bergermann https://github.com/KBergermann/Multiplex-matrix-function-centralities, 2021 | 3* | 2021 |
| A Twitter network and discourse analysis of the Rana Plaza collapse K Bergermann, M Wolter Applied Network Science 8 (1), 1-21, 2023 | 1 | 2023 |
| A nonlinear spectral core-periphery detection method for multiplex networks K Bergermann, M Stoll, F Tudisco arXiv preprint arXiv:2310.19697, 2023 | 1 | 2023 |
| Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors K Bergermann, C Deibel, R Herzog, RCI MacKenzie, JF Pietschmann, ... Communications in Computational Physics 34 (1), 1-17, 2023 | 1 | 2023 |
| Adaptive Rational Krylov Methods for Exponential Runge–Kutta Integrators K Bergermann, M Stoll SIAM Journal on Matrix Analysis and Applications 45 (1), 744-770, 2024 | | 2024 |
| An extension of the strain transfer principle for fiber reinforced materials F Ospald, K Bergermann, R Herzog Computational Mechanics 67 (5), 1453-1463, 2021 | | 2021 |
Martin StollTU ChemnitzVerified email at mathematik.tu-chemnitz.de
