A roadmap for the computation of persistent homology N Otter, MA Porter, U Tillmann, P Grindrod, HA Harrington EPJ Data Science 6, 1-38, 2017 | 753 | 2017 |

Weisfeiler and lehman go cellular: Cw networks C Bodnar, F Frasca, N Otter, Y Wang, P Lio, GF Montufar, M Bronstein Advances in neural information processing systems 34, 2625-2640, 2021 | 225 | 2021 |

Weisfeiler and lehman go topological: Message passing simplicial networks C Bodnar, F Frasca, Y Wang, N Otter, GF Montufar, P Lio, M Bronstein International Conference on Machine Learning, 1026-1037, 2021 | 220 | 2021 |

Stratifying multiparameter persistent homology HA Harrington, N Otter, H Schenck, U Tillmann SIAM Journal on Applied Algebra and Geometry 3 (3), 439-471, 2019 | 68 | 2019 |

Cell graph neural networks enable the precise prediction of patient survival in gastric cancer Y Wang, YG Wang, C Hu, M Li, Y Fan, N Otter, I Sam, H Gou, Y Hu, ... NPJ precision oncology 6 (1), 45, 2022 | 28 | 2022 |

Magnitude meets persistence. Homology theories for filtered simplicial sets N Otter arXiv preprint arXiv:1807.01540, 2018 | 26 | 2018 |

On the effectiveness of persistent homology R Turkes, GF Montufar, N Otter Advances in Neural Information Processing Systems 35, 35432-35448, 2022 | 15 | 2022 |

Operads and phylogenetic trees JC Baez, N Otter arXiv preprint arXiv:1512.03337, 2015 | 15 | 2015 |

A topological perspective on weather regimes K Strommen, M Chantry, J Dorrington, N Otter Climate Dynamics 60 (5), 1415-1445, 2023 | 13 | 2023 |

Amplitudes on abelian categories B Giunti, JS Nolan, N Otter, L Waas arXiv e-prints, arXiv: 2107.09036, 2021 | 12 | 2021 |

Can neural networks learn persistent homology features? G Montúfar, N Otter, Y Wang arXiv preprint arXiv:2011.14688, 2020 | 12 | 2020 |

Cell graph neural networks enable the digital staging of tumor microenvironment and precise prediction of patient survival in gastric cancer Y Wang, YG Wang, C Hu, M Li, Y Fan, N Otter, I Sam, H Gou, Y Hu, ... MedRxiv, 2021.09. 01.21262086, 2021 | 8 | 2021 |

A roadmap for the computation of persistent homology. EPJ Data Sci. 6 (1), 17 (2017) N Otter, MA Porter, U Tillmann, P Grindrod, HA Harrington arXiv preprint arXiv:1506.08903, 0 | 8 | |

Alpha magnitude M O'Malley, S Kalisnik, N Otter Journal of Pure and Applied Algebra 227 (11), 107396, 2023 | 5 | 2023 |

A unified framework for equivalences in social networks N Otter, MA Porter arXiv preprint arXiv:2006.10733, 2020 | 4 | 2020 |

A roadmap for the computation of persistent homology. EPJ Data Sci. 6 (1), 1–38 (2017) N Otter, MA Porter, U Tillmann, P Grindrod, HA Harrington | 4 | |

A topological perspective on regimes in dynamical systems K Strommen, M Chantry, J Dorrington, N Otter arXiv preprint arXiv:2104.03196, 2021 | 3 | 2021 |

Applied Category Theory in Chemistry, Computing, and Social Networks J Baez, S Cho, D Cicala, N Otter, V de Paiva Not. Am. Math. Soc 69, 292-297, 2022 | 1 | 2022 |

Climate Science at the Interface Between Topological Data Analysis and Dynamical Systems Theory D Faranda, T Lacombe, N Otter, K Strommen Notices of the American Mathematical Society 71, 267-271, 2024 | | 2024 |

Pull-back Geometry of Persistent Homology Encodings S Liang, R Turkeš, J Li, N Otter, G Montúfar arXiv preprint arXiv:2310.07073, 2023 | | 2023 |