| January 2011: the extreme landslide disaster in Brazil ALC Netto, AM Sato, A de Souza Avelar, LGG Vianna, IS Araújo, ... Landslide Science and Practice: Volume 6: Risk Assessment, Management and …, 2013 | 139 | 2013 |
| National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data Q Lin, P Lima, S Steger, T Glade, T Jiang, J Zhang, T Liu, Y Wang Geoscience Frontiers 12 (6), 101248, 2021 | 82 | 2021 |
| Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility P Lima, S Steger, T Glade, FG Murillo-García Journal of Mountain Science 19 (6), 1670-1698, 2022 | 49 | 2022 |
| Landslide susceptibility mapping at national scale: a first attempt for Austria P Lima, S Steger, T Glade, N Tilch, L Schwarz, A Kociu Advancing Culture of Living with Landslides: Volume 2 Advances in Landslide …, 2017 | 39 | 2017 |
| Counteracting flawed landslide data in statistically based landslide susceptibility modelling for very large areas: a national-scale assessment for Austria P Lima, S Steger, T Glade Landslides 18 (11), 3531-3546, 2021 | 36 | 2021 |
| Landslides susceptibility and risk zoning at Angra Dos Reis, Rio de Janeiro State, SE-Brazil: a quali-quantitative approach at 1: 5,000 scale AL Coelho Netto, AS Avelar, AM Sato, MC Fernandes, RR Oliveira, ... Extreme rainfall induced landslides: an international perspective, 1, 262-296, 2014 | 10 | 2014 |
| As competências psicológicas no desporto: Estudo com atletas de natação P Lima | 9 | 2008 |
| Conventional data-driven landslide susceptibility models may only tell us half of the story: potential underestimation of landslide impact areas depending on the modeling design P Lima, S Steger, T Glade, M Mergili Geomorphology 430, 108638, 2023 | 8 | 2023 |
| Parâmetros Morfométricos Relacionados às Bacias de 1º Ordem e a Ocorrência de Deslizamentos Rasos na Bacia do Córrego Dantas: Nova Friburgo-RJ PHM Lima, BH Coutinho, GB Gomes, MC Fernandes, ALC Netto Revista Geonorte 5 (14), 218-223, 2014 | 3 | 2014 |
| Combining landslide susceptibility with potential runout. An integrative approach combining data-driven methods P Lima, S Steger, T Glade, M Mergili IAG Regional Conference on Geomorphology 2019, 2019 | 1 | 2019 |
| Ideal transforms and local cohomology defined by a pair of ideals LZ Chu, VH Jorge Pérez, PH Lima Journal of Algebra and Its Applications 17 (10), 1850200, 2018 | 1 | 2018 |
| Comparison of non-landslide sampling strategies to counteract inventory-based biases within national-scale statistical landslide susceptibility models P Lima, S Steger, T Glade EGU General Assembly Conference Abstracts, 13523, 2017 | 1 | 2017 |
| A framework to update 10-year-old landslide susceptibility predictions-assessing the accuracy of existing landslide susceptibility models P Lima, S Steger, H Petschko, J Goetz, M Bertagnoli, J Schweigl, T Glade EGU General Assembly Conference Abstracts, EGU-7080, 2023 | | 2023 |
| Risk assessment of earth mass movements in Lower Austria. Case study: NoeMotion Project YAJ Donato, P Lima, M Arango, T Glade ICG2022, 2022 | | 2022 |
| How well do landslide susceptibility maps hold up over time? Reviewing the accuracy of maps implemented for spatial planning in Lower Austria P Lima, S Steger, H Petschko, J Goetz, M Bertagnoli, J Schweigl, T Glade ICG2022, 2022 | | 2022 |
| Mobility and hazard analysis of selected landslides in Lower Austria MI Arango, P Lima, M Mergili, T Glade EGU General Assembly Conference Abstracts, EGU22-8646, 2022 | | 2022 |
| Exploiting newly available landslide data to verify existing landslide susceptibility maps a decade after their implementation P Lima, S Steger, H Petschko, J Goetz, J Schweigl, M Bertagnoli, T Glade EGU General Assembly Conference Abstracts, EGU22-7351, 2022 | | 2022 |
| Enhancing the completeness of statistical landslide susceptibility modeling by integration of release and propagation zones PH Lima, S Steger, T Glade, M Mergili EGU General Assembly Conference Abstracts, 8630, 2020 | | 2020 |
| Evaluation of statistical and machine learning based landslide susceptibility models for very large areas–coping with error prone input data. P Lima, S Steger, T Glade Geophysical Research Abstracts 21, 2019 | | 2019 |
| Modelling strategies to cope with limitations of statistical landslide susceptibility models applied for large areas. A national scale study for the Austrian territory P Lima, S Steger, T Glade EGU General Assembly Conference Abstracts, 9067, 2018 | | 2018 |
Thomas GladeProfessor for Geomorphic Systems and Risk Research, University of ViennaVerified email at univie.ac.at
