| Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring R Gibb, E Browning, P Glover‐Kapfer, KE Jones Methods in Ecology and Evolution 10 (2), 169-185, 2019 | 527 | 2019 |
| Data integration for large-scale models of species distributions NJB Isaac, MA Jarzyna, P Keil, LI Dambly, PH Boersch-Supan, ... Trends in ecology & evolution 35 (1), 56-67, 2020 | 318 | 2020 |
| Bat detective—Deep learning tools for bat acoustic signal detection O Mac Aodha, R Gibb, KE Barlow, E Browning, M Firman, R Freeman, ... PLoS computational biology 14 (3), e1005995, 2018 | 242 | 2018 |
| Passive acoustic monitoring in ecology and conservation. E Browning, R Gibb, P Glover-Kapfer, KE Jones WWF-UK, 2017 | 178 | 2017 |
| Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds E Browning, M Bolton, E Owen, A Shoji, T Guilford, R Freeman Methods in Ecology and Evolution 9 (3), 681-692, 2018 | 100 | 2018 |
| Drivers of European bat population change: a review reveals evidence gaps E Browning, KE Barlow, F Burns, C Hawkins, K Boughey Mammal Review 51 (3), 353-368, 2021 | 37 | 2021 |
| Good practice guidelines for long-term ecoacoustic monitoring in the UK O Metcalf, C Abrahams, B Ashington, E Baker, T Bradfer-Lawrence, ... The UK Acoustics Network, 2023 | 14 | 2023 |
| An evaluation of the OpenWeatherMap API versus INMET using weather data from two Brazilian cities: Recife and Campina Grande A Musah, LMM Dutra, A Aldosery, E Browning, T Ambrizzi, IVG Borges, ... Data 7 (8), 106, 2022 | 10 | 2022 |
| Towards a general approach for bat echolocation detection and classification OM Aodha, S Martínez Balvanera, E Damstra, M Cooke, P Eichinski, ... bioRxiv, 2022.12. 14.520490, 2022 | 9 | 2022 |
| Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review CL Lima, ACG da Silva, GMM Moreno, C Cordeiro da Silva, A Musah, ... Frontiers in Public Health 10, 900077, 2022 | 9 | 2022 |
| Accounting for spatial autocorrelation and environment are important to derive robust bat population trends from citizen science data E Browning, R Freeman, KL Boughey, NJB Isaac, KE Jones Ecological Indicators 136, 108719, 2022 | 8 | 2022 |
| Differential effects of emerging broad-spectrum streetlight technologies on landscape-scale bat activity R Williams, C Walters, R Gibb, E Browning, D Tipping, K Jones bioRxiv, 525568, 2019 | 2 | 2019 |
| iBats Jersey–Review C Hawkins, E Browning, K Jones Technical Report to the States of Jersey Department of the Environment …, 2016 | 2 | 2016 |
| Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study A Musah, E Browning, A Aldosery, I Valerio Graciano Borges, T Ambrizzi, ... Frontiers in Tropical Diseases 4, 1039735, 2023 | 1 | 2023 |
| Valuing the economic benefits of species recovery programmes E Browning, M Christie, M Czajkowski, A Chalak, R Drummond, N Hanley, ... People and Nature, 2024 | | 2024 |
| Whombat: An open-source annotation tool for machine learning development in bioacoustics SM Balvanera, O Mac Aodha, MJ Weldy, H Pringle, E Browning, KE Jones arXiv preprint arXiv:2308.12688, 2023 | | 2023 |
| Improving the understanding of bat population trends in Great Britain E Browning UCL (University College London), 2022 | | 2022 |
| iBats Jersey: analysis of 10-years of monitoring data K Boughey, E Browning, S Scott, M Newman, S Langton, K Stoner | | |
