| Balance in signed networks A Kirkley, GT Cantwell, MEJ Newman Physical Review E 99 (1), 012320, 2019 | 90 | 2019 |
| Efficient method for estimating the number of communities in a network MA Riolo, GT Cantwell, G Reinert, MEJ Newman Physical Review E 96 (3), 032310, 2017 | 70 | 2017 |
| Message passing on networks with loops GT Cantwell, MEJ Newman Proceedings of the National Academy of Sciences 116 (47), 23398-23403, 2019 | 52 | 2019 |
| Bayesian inference of network structure from unreliable data JG Young, GT Cantwell, MEJ Newman Journal of Complex Networks 8 (6), cnaa046, 2020 | 48 | 2020 |
| Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory G Cantwell, MJ Crossley, FG Ashby Psychonomic bulletin & review 22 (6), 1598-1613, 2015 | 44 | 2015 |
| Improved mutual information measure for clustering, classification, and community detection MEJ Newman, GT Cantwell, JG Young | 41* | |
| Belief propagation for networks with loops A Kirkley, GT Cantwell, MEJ Newman Science Advances 7 (17), eabf1211, 2021 | 26 | 2021 |
| Thresholding normally distributed data creates complex networks GT Cantwell, Y Liu, BF Maier, AC Schwarze, CA Serván, J Snyder, ... Physical Review E 101 (6), 062302, 2020 | 23 | 2020 |
| Mixing patterns and individual differences in networks GT Cantwell, MEJ Newman Physical Review E 99 (4), 042306, 2019 | 20 | 2019 |
| Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience G Cantwell, M Riesenhuber, JL Roeder, FG Ashby Neural Networks 89, 31-38, 2017 | 18 | 2017 |
| Inference, Model Selection, and the Combinatorics of Growing Trees GT Cantwell, G St-Onge, JG Young Physical Review Letters 126 (3), 038301, 2021 | 10* | 2021 |
| The friendship paradox in real and model networks GT Cantwell, A Kirkley, MEJ Newman Journal of Complex Networks 9 (2), cnab011, 2021 | 9 | 2021 |
| Belief propagation for permutations, rankings, and partial orders GT Cantwell, C Moore Physical Review E 105, L052303, 2022 | 3 | 2022 |
| Heterogeneous message passing for heterogeneous networks GT Cantwell, A Kirkley, F Radicchi arXiv preprint arXiv:2305.02294, 2023 | 1 | 2023 |
| Approximate sampling and estimation of partition functions using neural networks GT Cantwell arXiv preprint arXiv:2209.10423, 2022 | | 2022 |
| Robust Bayesian inference of network structure from unreliable data JG Young, GT Cantwell, MEJ Newman arXiv preprint arXiv:2008.03334, 2020 | | 2020 |
| Correlation in Complex Networks GT Cantwell | | 2020 |
Mark NewmanProfessor of Physics, University of MichiganVerified email at umich.edu
