| Waterbird populations and pressures in the Baltic Sea H Skov, S Heinänen, R Žydelis, J Bellebaum, S Bzoma, M Dagys, ... Nordic Council of Ministers, 2011 | 172 | 2011 |
| Human uses, pressures and impacts in the eastern North Sea. JH Andersen, A Stock, S Heinänen, M Mannerla, M Vinther Danish Centre for Environment and Energy, 2013 | 65 | 2013 |
| Relative impacts of multiple human stressors in estuaries and coastal waters in the North Sea–Baltic Sea transition zone JH Andersen, Z Al-Hamdani, ET Harvey, E Kallenbach, C Murray, A Stock Science of The Total Environment 704, 135316, 2020 | 62 | 2020 |
| Effects of model assumptions and data quality on spatial cumulative human impact assessments A Stock, F Micheli Global Ecology and Biogeography 25 (11), 1321-1332, 2016 | 62 | 2016 |
| Uncertainty analysis and robust areas of high and low modeled human impact on the global oceans A Stock, LB Crowder, BS Halpern, F Micheli Conservation Biology, 2018 | 37 | 2018 |
| Potential for cumulative effects of human stressors on fish, sea birds and marine mammals in Arctic waters J Andersen, F Berzaghi, T Christensen, O Geertz-Hansen, A Mosbech, ... Estuarine, Coastal and Shelf Science, 2016 | 35 | 2016 |
| Satellite mapping of Baltic Sea Secchi depth with multiple regression models A Stock International Journal of Applied Earth Observation and Geoinformation 40, 55-64, 2015 | 35 | 2015 |
| Supporting interdisciplinary careers for sustainability JN Hernandez-Aguilera, W Anderson, AL Bridges, MP Fernandez, ... Nature Sustainability, 2021 | 31 | 2021 |
| Comparison of cloud-filling algorithms for marine satellite data A Stock, A Subramaniam, G van Dijken, L Wedding, K Arrigo, M Mills, ... Remote Sensing 12 (20), 3313, 2020 | 30 | 2020 |
| Open source software for mapping human impacts on marine ecosystems with an additive model A Stock Journal of Open Research Software 4 (1), e21, 2016 | 29 | 2016 |
| Mapping ecological indicators of human impact with statistical and machine learning methods: Tests on the California coast A Stock, AJ Haupt, ME Mach, F Micheli Ecological Informatics, 2018 | 28 | 2018 |
| Exploring multiple stressor effects with Ecopath, Ecosim, and Ecospace: Research designs, modeling techniques, and future directions A Stock, CC Murray, EJ Gregr, J Steenbeek, E Woodburn, F Micheli, ... Science of the Total Environment, 2023 | 19 | 2023 |
| Accuracy of empirical satellite algorithms for mapping phytoplankton diagnostic pigments in the open ocean: A supervised learning perspective A Stock, A Subramaniam Frontiers in Marine Science 7, 599, 2020 | 15 | 2020 |
| Spatiotemporal distribution of labeled data can bias the validation and selection of supervised learning algorithms: A marine remote sensing example A Stock ISPRS Journal of Photogrammetry and Remote Sensing, 46-60, 2022 | 12 | 2022 |
| Data leakage jeopardizes ecological applications of machine learning A Stock, EJ Gregr, KMA Chan Nature Ecology & Evolution, 2023 | 9 | 2023 |
| Iterative spatial leave-one-out cross-validation and gap-filling based data augmentation for supervised learning applications in marine remote sensing A Stock, A Subramaniam GIScience & Remote Sensing 59 (1), 1281-1300, 2022 | 7 | 2022 |
| Crossing natural and data set boundaries: coastal terrain modelling in the South-West Finnish Archipelago A Stock, H Tolvanen, R Kalliola International Journal of Geographical Information Science 24 (9), 1435-1452, 2010 | 7 | 2010 |
| S. Heinänen, M. Mannerla & M. Vinther (2013): Human uses, pressures and impacts in the eastern North Sea. Aarhus University, DCE–Danish Centre for Environment and Energy JH Andersen, A Stock Technical Report from DCE–Danish Centre for Environment and Energy, 0 | 7 | |
| Ocean Health F Micheli, G De Leo, F Ferretti, M Hines, K Honey, K Kroeker, RG Martone, ... Routledge Handbook of Ocean Resources and Management, 108-126, 2015 | 1 | 2015 |
| Uncertainty analysis and regression models for marine human impact mapping A Stock Stanford University, 2017 | | 2017 |
Fiorenza MicheliDavid and Lucile Packard Professor of Marine Science, Stanford University在 stanford.edu 的电子邮件经过验证
