| The MONICA model: Testing predictability for crop growth, soil moisture and nitrogen dynamics C Nendel, M Berg, KC Kersebaum, W Mirschel, X Specka, M Wegehenkel, ... Ecological Modelling 222 (9), 1614-1625, 2011 | 276 | 2011 |
| Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments F Tao, RP Rötter, T Palosuo, C Gregorio Hernández Díaz‐Ambrona, ... Global change biology 24 (3), 1291-1307, 2018 | 183 | 2018 |
| Impact of spatial soil and climate input data aggregation on regional yield simulations H Hoffmann, G Zhao, S Asseng, M Bindi, C Biernath, J Constantin, ... PloS one 11 (4), e0151782, 2016 | 108 | 2016 |
| Effect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables G Zhao, H Hoffmann, LGJ Van Bussel, A Enders, X Specka, C Sosa, ... Climate Research 65, 141-157, 2015 | 66 | 2015 |
| Spatial sampling of weather data for regional crop yield simulations LGJ Van Bussel, F Ewert, G Zhao, H Hoffmann, A Enders, D Wallach, ... Agricultural and Forest Meteorology 220, 101-115, 2016 | 63 | 2016 |
| The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ... Environmental Modelling & Software 145, 105206, 2021 | 48 | 2021 |
| Variability of effects of spatial climate data aggregation on regional yield simulation by crop models H Hoffmann, G Zhao, LGJ van Bussel, A Enders, X Specka, C Sosa, ... Climate Research 65, 53-69, 2015 | 46 | 2015 |
| Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops G Zhao, H Hoffmann, J Yeluripati, S Xenia, C Nendel, E Coucheney, ... Environmental Modelling & Software 80, 100-112, 2016 | 45 | 2016 |
| Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models F Tao, T Palosuo, RP Rötter, CGH Díaz-Ambrona, MI Mínguez, ... Agricultural and Forest Meteorology 281, 107851, 2020 | 44 | 2020 |
| Simulating regional winter wheat yields using input data of different spatial resolution C Nendel, R Wieland, W Mirschel, X Specka, C Guddat, KC Kersebaum Field crops research 145, 67-77, 2013 | 44 | 2013 |
| Analysing the parameter sensitivity of the agro-ecosystem model MONICA for different crops X Specka, C Nendel, R Wieland European Journal of Agronomy 71, 73-87, 2015 | 41 | 2015 |
| Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands M Kuhnert, J Yeluripati, P Smith, H Hoffmann, M Van Oijen, J Constantin, ... European Journal of Agronomy 88, 41-52, 2017 | 36 | 2017 |
| The implication of input data aggregation on up-scaling soil organic carbon changes B Grosz, R Dechow, S Gebbert, H Hoffmann, G Zhao, J Constantin, ... Environmental modelling & software 96, 361-377, 2017 | 34 | 2017 |
| How well do crop modeling groups predict wheat phenology, given calibration data from the target population? D Wallach, T Palosuo, P Thorburn, E Gourdain, S Asseng, B Basso, ... European Journal of Agronomy 124, 126195, 2021 | 30 | 2021 |
| The BonaRes metadata schema for geospatial soil-agricultural research data–Merging INSPIRE and DataCite metadata schemes X Specka, P Gärtner, C Hoffmann, N Svoboda, M Stecker, U Einspanier, ... Computers & Geosciences 132, 33-41, 2019 | 28 | 2019 |
| Management and spatial resolution effects on yield and water balance at regional scale in crop models J Constantin, H Raynal, E Casellas, H Hoffmann, M Bindi, L Doro, ... Agricultural and forest meteorology 275, 184-195, 2019 | 26 | 2019 |
| Uncertainties in scaling-up crop models for large-area climate change impact assessments F Ewert, LGJ van Bussel, G Zhao, H Hoffmann, T Gaiser, X Specka, ... Handbook of Climate Change and Agroecosystems, 452 p., 2015 | 26 | 2015 |
| Multi-model evaluation of phenology prediction for wheat in Australia D Wallach, T Palosuo, P Thorburn, Z Hochman, F Andrianasolo, S Asseng, ... Agricultural and Forest Meteorology 298, 108289, 2021 | 21 | 2021 |
| Effects of input data aggregation on simulated crop yields in temperate and Mediterranean climates GR Maharjan, H Hoffmann, H Webber, AK Srivastava, L Weihermüller, ... European journal of agronomy 103, 32-46, 2019 | 19 | 2019 |
| The MiLA tool: Modeling greenhouse gas emissions and cumulative energy demand of energy crop cultivation in rotation C Peter, X Specka, J Aurbacher, P Kornatz, C Herrmann, M Heiermann, ... Agricultural systems 152, 67-79, 2017 | 17 | 2017 |
