Parent of origin, mosaicism, and recurrence risk: probabilistic modeling explains the broken symmetry of transmission genetics IM Campbell, JR Stewart, RA James, JR Lupski, P Stankiewicz, ... The American Journal of Human Genetics 95 (4), 345-359, 2014 | 125 | 2014 |

Exponential-family models of random graphs: inference in finite, super and infinite population scenarios M Schweinberger, PN Krivitsky, CT Butts, JR Stewart Statistical Science 35 (4), 627-662, 2020 | 95 | 2020 |

Concentration and consistency results for canonical and curved exponential-family models of random graphs M Schweinberger, J Stewart The Annals of Statistics 48 (1), 374-396, 2020 | 40 | 2020 |

Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms J Stewart, M Schweinberger, M Bojanowski, M Morris Social Networks 59, 98-119, 2019 | 40 | 2019 |

Large-scale estimation of random graph models with local dependence S Babkin, JR Stewart, X Long, M Schweinberger Computational Statistics & Data Analysis 152, 107029, 2020 | 19* | 2020 |

Pseudo-likelihood-based -estimation of random graphs with dependent edges and parameter vectors of increasing dimension JR Stewart, M Schweinberger arXiv preprint arXiv:2012.07167, 2020 | 10 | 2020 |

mlergm: Multilevel exponential-family random graph models J Stewart, M Schweinberger R package version 0.1, 2018 | 8 | 2018 |

Collaboration and growth in a large research cooperative: A network analytic approach LJ Ducharme, K Fujimoto, J Kuo, J Stewart, B Taylor, J Schneider Evaluation and Program Planning 102, 102375, 2024 | 2 | 2024 |

Model selection for network data based on spectral information JI Peņa Hidalgo, JR Stewart Applied Network Science 36 (9), 2024 | 1* | 2024 |

Rates of convergence and normal approximations for estimators of local dependence random graph models JR Stewart arXiv preprint arXiv:2404.11464, 2024 | 1 | 2024 |

Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges JR Stewart arXiv preprint arXiv:2404.11438, 2024 | | 2024 |

Learning cross-layer dependence structure in multilayer networks J Li, JR Stewart arXiv preprint arXiv:2307.14982, 2023 | | 2023 |

On the time to identify the nodes in a random graph JR Stewart Statistics & Probability Letters 195, 109779, 2023 | | 2023 |

Consistent Estimation of High-Dimensional Random Graph Models with Dependent Edge Variables JR Stewart Rice University, 2020 | | 2020 |