| Rising temperatures reduce global wheat production S Asseng, F Ewert, P Martre, RP Rötter, DB Lobell, D Cammarano, ... Nature climate change 5 (2), 143-147, 2015 | 2161 | 2015 |
| Similar estimates of temperature impacts on global wheat yield by three independent methods B Liu, S Asseng, C Müller, F Ewert, J Elliott, DB Lobell, P Martre, ... Nature Climate Change 6 (12), 1130-1136, 2016 | 526 | 2016 |
| Climate change impact and adaptation for wheat protein S Asseng, P Martre, A Maiorano, RP Rötter, GJ O’Leary, GJ Fitzgerald, ... Global change biology 25 (1), 155-173, 2019 | 420 | 2019 |
| The uncertainty of crop yield projections is reduced by improved temperature response functions E Wang, P Martre, Z Zhao, F Ewert, A Maiorano, RP Rötter, BA Kimball, ... Nature plants 3 (8), 1-13, 2017 | 279 | 2017 |
| Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications C Müller, J Elliott, J Chryssanthacopoulos, A Arneth, J Balkovic, P Ciais, ... Geoscientific Model Development 10 (4), 1403-1422, 2017 | 249 | 2017 |
| Global wheat production with 1.5 and 2.0° C above pre‐industrial warming B Liu, P Martre, F Ewert, JR Porter, AJ Challinor, C Müller, AC Ruane, ... Global Change Biology 25 (4), 1428-1444, 2019 | 140 | 2019 |
| Multimodel ensembles improve predictions of crop–environment–management interactions D Wallach, P Martre, B Liu, S Asseng, F Ewert, PJ Thorburn, ... Global change biology 24 (11), 5072-5083, 2018 | 137 | 2018 |
| Diagnosis of bacterial spot of tomato using spectral signatures CD Jones, JB Jones, WS Lee Computers and electronics in agriculture 74 (2), 329-335, 2010 | 115 | 2010 |
| Spatial and temporal uncertainty of crop yield aggregations V Porwollik, C Müller, J Elliott, J Chryssanthacopoulos, T Iizumi, DK Ray, ... European Journal of Agronomy 88, 10-21, 2017 | 84 | 2017 |
| The global gridded crop model intercomparison phase 1 simulation dataset C Müller, J Elliott, D Kelly, A Arneth, J Balkovic, P Ciais, D Deryng, ... Scientific data 6 (1), 50, 2019 | 80 | 2019 |
| Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications. Geosci. Model Dev. 10, 1403–1422. doi: 10.5194 C Müller, J Elliott, J Chryssanthacopoulos, A Arneth, J Balkovic, P Ciais, ... gmd-10-1403-2017, 2017 | 68* | 2017 |
| The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0) JA Franke, C Müller, J Elliott, AC Ruane, J Jägermeyr, J Balkovic, P Ciais, ... Geoscientific Model Development 13 (5), 2315-2336, 2020 | 66 | 2020 |
| Global patterns of crop yield stability under additional nutrient and water inputs C Müller, J Elliott, TAM Pugh, AC Ruane, P Ciais, J Balkovic, D Deryng, ... PLoS One 13 (6), e0198748, 2018 | 59 | 2018 |
| Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble C Folberth, J Elliott, C Müller, J Balkovič, J Chryssanthacopoulos, ... PLoS One 14 (9), e0221862, 2019 | 56 | 2019 |
| A quantitative assessment of Beneficial Management Practices to reduce carbon and reactive nitrogen footprints and phosphorus losses on dairy farms in the US Great Lakes region K Veltman, CA Rotz, L Chase, J Cooper, P Ingraham, RC Izaurralde, ... Agricultural Systems 166, 10-25, 2018 | 54 | 2018 |
| Quantification of greenhouse gas emissions from open field-grown Florida tomato production CD Jones, CW Fraisse, M Ozores-Hampton Agricultural systems 113, 64-72, 2012 | 53 | 2012 |
| Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC models RK Gaillard, CD Jones, P Ingraham, S Collier, RC Izaurralde, W Jokela, ... Ecological applications 28 (3), 694-708, 2018 | 52 | 2018 |
| Uncertainties in global crop model frameworks: effects of cultivar distribution, crop management and soil handling on crop yield estimates C Folberth, J Elliott, C Müller, J Balkovic, J Chryssanthacopoulos, ... Biogeosciences Discussions 2016, 1-30, 2016 | 43 | 2016 |
| The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0) JA Franke, C Müller, J Elliott, AC Ruane, J Jägermeyr, A Snyder, M Dury, ... Geoscientific Model Development (Online) 13 (PNNL-SA-139208), 2020 | 35 | 2020 |
| Carbon-negative biofuel production S Kim, X Zhang, AD Reddy, BE Dale, KD Thelen, CD Jones, ... Environmental Science & Technology 54 (17), 10797-10807, 2020 | 35 | 2020 |
