| Temperature increase reduces global yields of major crops in four independent estimates C Zhao, B Liu, S Piao, X Wang, DB Lobell, Y Huang, M Huang, Y Yao, ... Proceedings of the National Academy of sciences 114 (35), 9326-9331, 2017 | 2783 | 2017 |
| Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison C Rosenzweig, J Elliott, D Deryng, AC Ruane, C Müller, A Arneth, ... Proceedings of the national academy of sciences 111 (9), 3268-3273, 2014 | 2549 | 2014 |
| 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 | 2447 | 2015 |
| Uncertainty in simulating wheat yields under climate change S Asseng, F Ewert, C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, ... Nature climate change 3 (9), 827-832, 2013 | 1392 | 2013 |
| IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change … K Calvin, D Dasgupta, G Krinner, A Mukherji, PW Thorne, C Trisos, ... (No Title), 2023 | 1304* | 2023 |
| Constraints and potentials of future irrigation water availability on agricultural production under climate change J Elliott, D Deryng, C Müller, K Frieler, M Konzmann, D Gerten, M Glotter, ... Proceedings of the National Academy of Sciences 111 (9), 3239-3244, 2014 | 1170 | 2014 |
| The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, KJ Boote, P Thorburn, ... Agricultural and forest meteorology 170, 166-182, 2013 | 1158 | 2013 |
| Future global climate: scenario-based projections and near-term information JY Lee, J Marotzke, G Bala, L Cao, S Corti, JP Dunne, F Engelbrecht, ... Cambridge University Press, 2021 | 831 | 2021 |
| IPCC, 2023: Climate Change 2023: Synthesis Report, Summary for Policymakers. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the … K Calvin, D Dasgupta, G Krinner, A Mukherji, PW Thorne, C Trisos, ... IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working …, 2023 | 820* | 2023 |
| Technical summary PA Arias, N Bellouin, E Coppola, RG Jones, G Krinner, J Marotzke, V Naik, ... Cambridge University Press, 2021 | 806 | 2021 |
| How do various maize crop models vary in their responses to climate change factors? S Bassu, N Brisson, JL Durand, K Boote, J Lizaso, JW Jones, ... Global change biology 20 (7), 2301-2320, 2014 | 753 | 2014 |
| Climate impacts on global agriculture emerge earlier in new generation of climate and crop models J Jägermeyr, C Müller, AC Ruane, J Elliott, J Balkovic, O Castillo, B Faye, ... Nature Food 2 (11), 873-885, 2021 | 628 | 2021 |
| Climate Change 2021: the physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; technical summary P Arias, N Bellouin, E Coppola, R Jones, G Krinner, J Marotzke, V Naik, ... | 620 | 2021 |
| Taking climate model evaluation to the next level V Eyring, PM Cox, GM Flato, PJ Gleckler, G Abramowitz, P Caldwell, ... Nature Climate Change 9 (2), 102-110, 2019 | 610 | 2019 |
| 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 | 599 | 2016 |
| Multimodel ensembles of wheat growth: many models are better than one P Martre, D Wallach, S Asseng, F Ewert, JW Jones, RP Rötter, KJ Boote, ... Global change biology 21 (2), 911-925, 2015 | 546 | 2015 |
| 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 | 512 | 2019 |
| Understanding and managing connected extreme events C Raymond, RM Horton, J Zscheischler, O Martius, A AghaKouchak, ... Nature climate change 10 (7), 611-621, 2020 | 500 | 2020 |
| Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions T Li, T Hasegawa, X Yin, Y Zhu, K Boote, M Adam, S Bregaglio, S Buis, ... Global change biology 21 (3), 1328-1341, 2015 | 456 | 2015 |
| Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation AC Ruane, R Goldberg, J Chryssanthacopoulos Agricultural and Forest Meteorology 200, 233-248, 2015 | 434 | 2015 |
