| Statistical clustering of temporal networks through a dynamic stochastic block model C Matias, V Miele Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2017 | 332 | 2017 |
| Ultra-fast sequence clustering from similarity networks with SiLiX V Miele, S Penel, L Duret BMC bioinformatics 12, 1-9, 2011 | 306 | 2011 |
| How structured is the entangled bank? The surprisingly simple organization of multiplex ecological networks leads to increased persistence and resilience S Kéfi, V Miele, EA Wieters, SA Navarrete, EL Berlow PLoS biology 14 (8), e1002527, 2016 | 203 | 2016 |
| DNA physical properties determine nucleosome occupancy from yeast to fly V Miele, C Vaillant, Y d'Aubenton-Carafa, C Thermes, T Grange Nucleic acids research 36 (11), 3746-3756, 2008 | 170 | 2008 |
| Fast online graph clustering via Erdős–Rényi mixture H Zanghi, C Ambroise, V Miele Pattern recognition 41 (12), 3592-3599, 2008 | 125 | 2008 |
| Diversity indices for ecological networks: a unifying framework using Hill numbers M Ohlmann, V Miele, S Dray, L Chalmandrier, L O’Connor, W Thuiller Ecology Letters, 2019 | 70 | 2019 |
| Core–periphery dynamics in a plant–pollinator network V Miele, R Ramos‐Jiliberto, DP Vázquez Journal of Animal Ecology, 2020 | 53 | 2020 |
| Deciphering the connectivity structure of biological networks using MixNet F Picard, V Miele, JJ Daudin, L Cottret, S Robin BMC bioinformatics 10, 1-11, 2009 | 52 | 2009 |
| Global survey of mobile DNA horizontal transfer in arthropods reveals Lepidoptera as a prime hotspot D Reiss, G Mialdea, V Miele, DM de Vienne, J Peccoud, C Gilbert, L Duret, ... PLoS genetics 15 (2), e1007965, 2019 | 47 | 2019 |
| High-quality sequence clustering guided by network topology and multiple alignment likelihood V Miele, S Penel, V Daubin, F Picard, D Kahn, L Duret Bioinformatics 28 (8), 1078-1085, 2012 | 45 | 2012 |
| Ecological networks to unravel the routes to horizontal transposon transfers S Venner, V Miele, C Terzian, C Biémont, V Daubin, C Feschotte, ... PLoS biology 15 (2), e2001536, 2017 | 41 | 2017 |
| Fruiting strategies of perennial plants: a resource budget model to couple mast seeding to pollination efficiency and resource allocation strategies S Venner, A Siberchicot, PF Pélisson, E Schermer, MC Bel-Venner, ... The American Naturalist 188 (1), 66-75, 2016 | 39 | 2016 |
| Revisiting animal photo‐identification using deep metric learning and network analysis V Miele, G Dussert, B Spataro, S Chamaillé-Jammes, D Allainé, ... Methods in Ecology and Evolution, 2021 | 38* | 2021 |
| Strategies for online inference of model-based clustering in large and growing networks H Zanghi, F Picard, V Miele, C Ambroise | 38 | 2010 |
| Non-trophic interactions strengthen the diversity—functioning relationship in an ecological bioenergetic network model V Miele, C Guill, R Ramos-Jiliberto, S Kéfi PLoS computational biology 15 (8), e1007269, 2019 | 31 | 2019 |
| Nine quick tips for analyzing network data V Miele, C Matias, S Robin, S Dray PLOS Computational Biology 15 (12), e1007434, 2019 | 28 | 2019 |
| Spatially constrained clustering of ecological networks V Miele, F Picard, S Dray Methods in Ecology and Evolution 5 (8), 771-779, 2014 | 28 | 2014 |
| DNA physical properties and nucleosome positions are major determinants of HIV-1 integrase selectivity M Naughtin, Z Haftek-Terreau, J Xavier, S Meyer, M Silvain, ... PloS one 10 (6), e0129427, 2015 | 26 | 2015 |
| Playing hide and seek with repeats in local and global de novo transcriptome assembly of short RNA-seq reads L Lima, B Sinaimeri, G Sacomoto, H Lopez-Maestre, C Marchet, V Miele, ... Algorithms for molecular biology 12, 1-19, 2017 | 23 | 2017 |
| Revealing the hidden structure of dynamic ecological networks V Miele, C Matias Royal Society open science 4 (6), 170251, 2017 | 22 | 2017 |
Catherine MatiasCNRS, Université Pierre et Marie Curie, COSTNET CA15109在 math.cnrs.fr 的电子邮件经过验证
