| Spatial and temporal analysis of a global landslide catalog D Kirschbaum, T Stanley, Y Zhou Geomorphology 249, 4-15, 2015 | 394 | 2015 |
| A heuristic approach to global landslide susceptibility mapping T Stanley, DB Kirschbaum Natural hazards 87, 145-164, 2017 | 245 | 2017 |
| Satellite‐based assessment of rainfall‐triggered landslide hazard for situational awareness D Kirschbaum, T Stanley Earth's Future 6 (3), 505-523, 2018 | 241* | 2018 |
| Natural hazard risk assessments at the global scale PJ Ward, V Blauhut, N Bloemendaal, JE Daniell, MC de Ruiter, ... Natural Hazards and Earth System Sciences 20 (4), 1069-1096, 2020 | 186 | 2020 |
| Changes in extreme precipitation and landslides over High Mountain Asia D Kirschbaum, SB Kapnick, T Stanley, S Pascale Geophysical Research Letters 47 (4), e2019GL085347, 2020 | 106 | 2020 |
| Landslide mapping using object-based image analysis and open source tools P Amatya, D Kirschbaum, T Stanley, H Tanyas Engineering Geology 282, 106000, 2021 | 86 | 2021 |
| Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR) CS Juang, TA Stanley, DB Kirschbaum PloS one 14 (7), e0218657, 2019 | 77 | 2019 |
| Landslides across the USA: occurrence, susceptibility, and data limitations BB Mirus, ES Jones, RL Baum, JW Godt, S Slaughter, MM Crawford, ... Landslides 17, 2271-2285, 2020 | 74 | 2020 |
| New global characterization of landslide exposure R Emberson, D Kirschbaum, T Stanley Natural Hazards and Earth System Sciences Discussions 2020, 1-21, 2020 | 70 | 2020 |
| A dynamic landslide hazard assessment system for Central America and Hispaniola DB Kirschbaum, T Stanley, J Simmons Natural Hazards and Earth System Sciences 15 (10), 2257-2272, 2015 | 64 | 2015 |
| Modeling landslide susceptibility over large regions with fuzzy overlay D Kirschbaum, T Stanley, S Yatheendradas Landslides 13, 485-496, 2016 | 63 | 2016 |
| Data-driven landslide nowcasting at the global scale TA Stanley, DB Kirschbaum, G Benz, RA Emberson, PM Amatya, ... Frontiers in Earth Science 9, 640043, 2021 | 57 | 2021 |
| Use of very high-resolution optical data for landslide mapping and susceptibility analysis along the Karnali highway, Nepal P Amatya, D Kirschbaum, T Stanley Remote Sensing 11 (19), 2284, 2019 | 44 | 2019 |
| Evaluating TMPA rainfall over the sparsely gauged East African Rift E Monsieurs, DB Kirschbaum, J Tan, JCM Mateso, L Jacobs, PD Plisnier, ... Journal of Hydrometeorology 19 (9), 1507-1528, 2018 | 43 | 2018 |
| Building a landslide hazard indicator with machine learning and land surface models TA Stanley, DB Kirschbaum, S Sobieszczyk, MF Jasinski, JS Borak, ... Environmental modelling & software 129, 104692, 2020 | 40 | 2020 |
| Global connections between El Nino and landslide impacts R Emberson, D Kirschbaum, T Stanley Nature communications 12 (1), 2262, 2021 | 30 | 2021 |
| Investigating the potential of a global precipitation forecast to inform landslide prediction S Khan, DB Kirschbaum, T Stanley Weather and Climate Extremes 33, 100364, 2021 | 24 | 2021 |
| Global soil water estimates as landslide predictor: the effectiveness of SMOS, SMAP, and GRACE observations, land surface simulations, and data assimilation A Felsberg, GJM De Lannoy, M Girotto, J Poesen, RH Reichle, T Stanley Journal of Hydrometeorology 22 (5), 1065-1084, 2021 | 21 | 2021 |
| Extreme precipitation in the Himalayan landslide hotspot T Stanley, DB Kirschbaum, S Pascale, S Kapnick Satellite Precipitation Measurement: Volume 2, 1087-1111, 2020 | 20 | 2020 |
| Rainfall‐induced landslide inventories for Lower Mekong based on Planet imagery and a semi‐automatic mapping method P Amatya, D Kirschbaum, T Stanley Geoscience Data Journal 9 (2), 315-327, 2022 | 18 | 2022 |
Dalia KirschbaumNASA Goddard Space Flight CenterVerified email at nasa.gov
