Network analysis: ten years shining light on host–parasite interactions R Runghen, R Poulin, C Monlleó-Borrull, C Llopis-Belenguer Trends in Parasitology 37 (5), 445-455, 2021 | 46 | 2021 |
Food web reconstruction through phylogenetic transfer of low‐rank network representation T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ... Methods in Ecology and Evolution 13 (12), 2838-2849, 2022 | 22 | 2022 |
An early career perspective on encouraging collaborative and interdisciplinary research in ecology JL Pannell, AM Dencer‐Brown, SS Greening, EA Hume, RM Jarvis, ... Ecosphere 10 (10), e02899, 2019 | 22 | 2019 |
Assessing unintended human‐mediated dispersal using visitation networks R Runghen, B Bramon Mora, A Godoy‐Lorite, DB Stouffer Journal of Applied Ecology 58 (4), 777-788, 2021 | 10 | 2021 |
Exploiting node metadata to predict interactions in bipartite networks using graph embedding and neural networks R Runghen, DB Stouffer, GV Dalla Riva Royal Society Open Science 9 (8), 220079, 2022 | 9* | 2022 |
Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ... Methods in Ecology and Evolution 14, 2917-2930, 2023 | 2* | 2023 |
Using network analysis to study and manage human-mediated dispersal of exotic species R Runghen, C Llopis-Belenguer, MR McNeill, GV Dalla Riva, DB Stouffer Biological Invasions 25 (11), 3369-3389, 2023 | 1 | 2023 |
Unintended hitchhikers: tracking exotic species in natural systems using a network approach. R Runghen University of Canterbury, 2021 | | 2021 |