| Maximal diversity and zipf’s law O Mazzarisi, A de Azevedo-Lopes, JJ Arenzon, F Corberi Physical review letters 127 (12), 128301, 2021 | 13 | 2021 |
| Multicritical points and topology-induced inverse transition in the random-field Blume-Capel model in a random network R Erichsen Jr, AA Lopes, SG Magalhaes Physical Review E 95 (6), 062113, 2017 | 12 | 2017 |
| Dynamical cluster size heterogeneity A de Azevedo-Lopes, AR de la Rocha, PMC de Oliveira, JJ Arenzon Physical Review E 101 (1), 012108, 2020 | 9 | 2020 |
| Energy-lowering and constant-energy spin flips: Emergence of the percolating cluster in the kinetic Ising model A de Azevedo-Lopes, RAL Almeida, PMC de Oliveira, JJ Arenzon Physical Review E 106 (4), 044105, 2022 | 2 | 2022 |
| Infection dynamics in the urinary tract-The importance of non-planktonic phases during early infection and resistance evolution M Raatz, K Drabik, A de Azevedo-Lopes, A Traulsen, B Waclaw bioRxiv, 2023.10. 23.563535, 2023 | | 2023 |
| On the onset of the percolating cluster in the Ising model after a temperature quench A de Azevedo-Lopes, RAL Almeida, PMC de Oliveira, JJ Arenzon arXiv e-prints, arXiv: 2206.05808, 2022 | | 2022 |
| Geometric properties of spin models: cluster size heterogeneity A de Azevedo-Lopes | | 2021 |
| Modelo de Blume-Capel na rede aleatória A de Azevedo-Lopes | | 2016 |
| Ghatak-Sherrington model with a random field in a random network AA Lopes, R Erichsen Junior Encontro Nacional de Física Estatística (2015: Vitória, ES). Livro de …, 2015 | | 2015 |
| Propriedades cognitivas em redes de neurônios não-monótonos AA Lopes | | 2013 |
| Aprendizado em Redes de Neurônios Biológicos AA Lopes | | 2011 |
