| Land-use and land-cover change: local processes and global impacts EF Lambin, HJ Geist Springer Science & Business Media, 2008 | 1752 | 2008 |
| Land in sight?: Achievements, deficits and potentials of continental to global scale land-use modeling M Heistermann, C Müller, K Ronneberger Agriculture, Ecosystems & Environment 114 (2-4), 141-158, 2006 | 287 | 2006 |
| RainNet v1. 0: a convolutional neural network for radar-based precipitation nowcasting G Ayzel, T Scheffer, M Heistermann Geoscientific Model Development 13 (6), 2631-2644, 2020 | 253 | 2020 |
| Global scale DAYCENT model analysis of greenhouse gas emissions and mitigation strategies for cropped soils SJ Del Grosso, DS Ojima, WJ Parton, E Stehfest, M Heistemann, ... Global and Planetary Change 67 (1-2), 44-50, 2009 | 248 | 2009 |
| Simulation of global crop production with the ecosystem model DayCent E Stehfest, M Heistermann, JA Priess, DS Ojima, J Alcamo Ecological Modelling 209 (2-4), 203-219, 2007 | 230 | 2007 |
| Technical Note: An open source library for processing weather radar data (wradlib) T Heistermann, M., Jacobi, S., and Pfaff Hydrology and Earth System Sciences 17 (2), 863-871, 2013 | 200 | 2013 |
| Climate change impacts on the seasonality and generation processes of floods–projections and uncertainties for catchments with mixed snowmelt/rainfall regimes K Vormoor, D Lawrence, M Heistermann, A Bronstert Hydrology and Earth System Sciences 19 (2), 913-931, 2015 | 160 | 2015 |
| Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0. 1) G Ayzel, M Heistermann, T Winterrath Geoscientific Model Development 12 (4), 1387-1402, 2019 | 150 | 2019 |
| All convolutional neural networks for radar-based precipitation nowcasting G Ayzel, M Heistermann, A Sorokin, O Nikitin, O Lukyanova Procedia Computer Science 150, 186-192, 2019 | 109 | 2019 |
| An overview of using weather radar for climatological studies: Successes, challenges, and potential E Saltikoff, K Friedrich, J Soderholm, K Lengfeld, B Nelson, A Becker, ... Bulletin of the American Meteorological Society 100 (9), 1739-1752, 2019 | 97 | 2019 |
| Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany A Bronstert, A Agarwal, B Boessenkool, I Crisologo, M Fischer, ... Science of the total environment 630, 977-991, 2018 | 89 | 2018 |
| The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset G Ayzel, M Heistermann Computers & Geosciences 149, 104708, 2021 | 80 | 2021 |
| Benchmarking quantitative precipitation estimation by conceptual rainfall-runoff modeling. M Heistermann, D Kneis Water Resources Research 47 (6), 2011 | 61 | 2011 |
| The emergence of open-source software for the weather radar community M Heistermann, S Collis, MJ Dixon, S Giangrande, JJ Helmus, B Kelley, ... Bulletin of the American Meteorological Society 96 (1), 117-128, 2015 | 57 | 2015 |
| A dense network of cosmic-ray neutron sensors for soil moisture observation in a pre-alpine headwater catchment in Germany B Fersch, T Francke, M Heistermann, M Schrön, V Döpper, J Jakobi, ... Earth System Science Data 12, 2289-2309, 2020 | 52 | 2020 |
| HESS Opinions: A planetary boundary on freshwater use is misleading M Heistermann Hydrology and earth system sciences 21 (7), 3455-3461, 2017 | 49 | 2017 |
| Potentials and constraints of different types of soil moisture observations for flood simulations in headwater catchments A Bronstert, B Creutzfeldt, T Graeff, I Hajnsek, M Heistermann, S Itzerott, ... Natural hazards 60, 879-914, 2012 | 49 | 2012 |
| Immersive 3D geovisualization in higher education A Philips, A Walz, A Bergner, T Graeff, M Heistermann, S Kienzler, ... Journal of Geography in Higher Education 39 (3), 437-449, 2015 | 48 | 2015 |
| Towards subdaily rainfall disaggregation via Clausius–Clapeyron G Bürger, M Heistermann, A Bronstert Journal of Hydrometeorology 15 (3), 1303-1311, 2014 | 47 | 2014 |
| Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany O Seleem, G Ayzel, ACT de Souza, A Bronstert, M Heistermann Geomatics, Natural Hazards and Risk 13 (1), 1640-1662, 2022 | 44 | 2022 |
Axel BronstertInstitute for Environmental Science and Geography, University of PotsdamVerified email at uni-potsdam.de