Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015 | 879 | 2015 |

Scan statistics on enron graphs CE Priebe, JM Conroy, DJ Marchette, Y Park Computational & Mathematical Organization Theory 11, 229-247, 2005 | 400 | 2005 |

The complete connectome of a learning and memory centre in an insect brain K Eichler, F Li, A Litwin-Kumar, Y Park, I Andrade, CM Schneider-Mizell, ... Nature 548 (7666), 175-182, 2017 | 391 | 2017 |

Comparative evaluation of pattern recognition techniques for detection of microcalcifications in mammography KS Woods, CC Doss, KW Bowyer, JL Solka, CE Priebe, ... International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993 | 278 | 1993 |

A consistent adjacency spectral embedding for stochastic blockmodel graphs DL Sussman, M Tang, DE Fishkind, CE Priebe Journal of the American Statistical Association 107 (499), 1119-1128, 2012 | 275 | 2012 |

Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning JT Vogelstein, Y Park, T Ohyama, RA Kerr, JW Truman, CE Priebe, ... Science 344 (6182), 386-392, 2014 | 257 | 2014 |

Flashgraph: Processing billion-node graphs on an array of commodity ssds DM Da Zheng, R Burns, J Vogelstein, CE Priebe, AS Szalay 13th USENIX Conference on File and Storage Technologies (FAST 15), 45-58, 2015 | 256 | 2015 |

Adaptive mixtures CE Priebe Journal of the American Statistical Association 89 (427), 796-806, 1994 | 218 | 1994 |

Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... The Journal of Machine Learning Research 18 (1), 8393-8484, 2017 | 186 | 2017 |

Random forests for photometric redshifts S Carliles, T Budavári, S Heinis, C Priebe, AS Szalay The Astrophysical Journal 712 (1), 511, 2010 | 160 | 2010 |

Graph matching: Relax at your own risk V Lyzinski, DE Fishkind, M Fiori, JT Vogelstein, CE Priebe, G Sapiro IEEE transactions on pattern analysis and machine intelligence 38 (1), 60-73, 2015 | 147 | 2015 |

Fast approximate quadratic programming for graph matching JT Vogelstein, JM Conroy, V Lyzinski, LJ Podrazik, SG Kratzer, ET Harley, ... PLOS one 10 (4), e0121002, 2015 | 145 | 2015 |

Community detection and classification in hierarchical stochastic blockmodels V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016 | 137 | 2016 |

Universally consistent vertex classification for latent positions graphs M Tang, DL Sussman, CE Priebe | 127 | 2013 |

Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe | 119 | 2014 |

Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown DE Fishkind, DL Sussman, M Tang, JT Vogelstein, CE Priebe SIAM Journal on Matrix Analysis and Applications 34 (1), 23-39, 2013 | 112 | 2013 |

A limit theorem for scaled eigenvectors of random dot product graphs A Athreya, CE Priebe, M Tang, V Lyzinski, DJ Marchette, DL Sussman Sankhya A 78, 1-18, 2016 | 110 | 2016 |

Consistent latent position estimation and vertex classification for random dot product graphs DL Sussman, M Tang, CE Priebe IEEE transactions on pattern analysis and machine intelligence 36 (1), 48-57, 2013 | 107 | 2013 |

A semiparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017 | 104 | 2017 |

Locality statistics for anomaly detection in time series of graphs H Wang, M Tang, Y Park, CE Priebe IEEE Transactions on Signal Processing 62 (3), 703-717, 2013 | 103 | 2013 |