| Influence of measurement errors on networks: Estimating the robustness of centrality measures C Martin, P Niemeyer Network Science 7 (2), 180-195, 2019 | 29 | 2019 |
| On the impact of network size and average degree on the robustness of centrality measures C Martin, P Niemeyer Network Science 9 (S1), S61-S82, 2021 | 6 | 2021 |
| Estimating covariant Lyapunov vectors from data C Martin, N Sharafi, S Hallerberg Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (3), 033105, 2022 | 4 | 2022 |
| Comparing the sensitivity of social networks, web graphs, and random graphs with respect to vertex removal C Martin, P Niemeyer 2015 11th International Conference on Signal-Image Technology & Internet …, 2015 | 4 | 2015 |
| A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification C Martin, M Riebeling arXiv preprint arXiv:2005.14683, 2020 | 3 | 2020 |
| The Role of Network Size for the Robustness of Centrality Measures C Martin, P Niemeyer International Conference on Complex Networks and Their Applications, 40-51, 2019 | 1 | 2019 |
| The impact of partially missing communities on the reliability of centrality measures C Martin International Conference on Complex Networks and their Applications, 41-52, 2017 | 1 | 2017 |
| Robustness of centrality measures C Martin Leuphana Universität Lüneburg, 2020 | | 2020 |
