47 citations as recorded by crossref.

1. Extreme Events and Production Shocks for Key Crops in Southern Africa Under Climate Change T. Thomas et al. https://doi.org/10.3389/fclim.2022.787582
2. Physiological and metabolic changes in Selaginella tamariscina in response to desiccation and recovery Y. Xi et al. https://doi.org/10.1007/s10725-024-01237-8
3. Surveying perceptions and practices of high-end climate change R. Taylor et al. https://doi.org/10.1007/s10584-020-02659-9
4. Construction of indicator system of regional economic system impact factors based on fractional differential equations J. Zhang et al. https://doi.org/10.1016/j.chaos.2019.07.036
5. A crop yield change emulator for use in GCAM and similar models: Persephone v1.0 A. Snyder et al. https://doi.org/10.5194/gmd-12-1319-2019
6. Climate Fluctuations and Growing Sensitivity of Grape Production in Abruzzo (Central Italy) over the Past Sixty Years V. Guerriero et al. https://doi.org/10.3390/geographies4040042
7. Economic impacts of climate-induced crop yield changes: evidence from agri-food industries in six countries D. Wang et al. https://doi.org/10.1007/s10584-021-03062-8
8. A food crop yield emulator for integration in the compact Earth system model OSCAR (OSCAR-crop v1.0) X. Liu et al. https://doi.org/10.5194/gmd-19-5857-2026
9. Decomposing crop model uncertainty: A systematic review R. Chapagain et al. https://doi.org/10.1016/j.fcr.2022.108448
10. Climate change-related lessons learned from a long-term field experiment with maize K. Pokovai et al. https://doi.org/10.1007/s13593-025-01013-6
11. Pooled Prediction of the Individual and Combined Impact of Extreme Climate Events on Crop Yields in China J. Liu et al. https://doi.org/10.3390/agronomy15102319
12. Climate change impacts on crop yields E. Rezaei et al. https://doi.org/10.1038/s43017-023-00491-0
13. Floral Scents in Bee-Pollinated Buckwheat and Oilseed Rape under a Global Warming Scenario G. Cordeiro & S. Dötterl https://doi.org/10.3390/insects14030242
14. Improvement of the CERES-Rice model using controlled experiments and a Meta-analysis Q. Sun et al. https://doi.org/10.1007/s00704-020-03256-7
15. Building Ethiopia’s food security resilience to climate and hydrological change A. Murgatroyd et al. https://doi.org/10.1088/2976-601X/ad99dd
16. Statistical emulators of irrigated crop yields and irrigation water requirements É. Blanc https://doi.org/10.1016/j.agrformet.2019.107828
17. A rolling horizon simulation approach for managing demand with lead time variability F. Campuzano-Bolarín et al. https://doi.org/10.1080/00207543.2019.1634849
18. A Delphi assessment of climate change risks in southern Africa in the 21st century R. Scholes et al. https://doi.org/10.1016/j.crm.2023.100566
19. Global maize yield responses to essential climate variables: Assessment using atmospheric reanalysis and future climate scenarios Z. Zhao et al. https://doi.org/10.1016/j.compag.2025.110140
20. Plant pathogen infection risk tracks global crop yields under climate change T. Chaloner et al. https://doi.org/10.1038/s41558-021-01104-8
21. Extending a first-principles primary production model to predict wheat yields S. Qiao et al. https://doi.org/10.1016/j.agrformet.2020.107932
22. The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations W. Liu et al. https://doi.org/10.5194/gmd-16-7203-2023
23. Model projections indicate substantial decrease in yield stability for summer crops in Switzerland, but less so for winter crops M. dos Reis Martins & P. Calanca https://doi.org/10.1016/j.eja.2025.127855
24. Projected climate change impacts on mean and year-to-year variability of yield of key smallholder crops in Sub-Saharan Africa B. Stuch et al. https://doi.org/10.1080/17565529.2020.1760771
25. On the evolution of plant thermomorphogenesis W. Ludwig et al. https://doi.org/10.1093/jxb/erab310
26. Temperature-related excess mortality in German cities at 2 °C and higher degrees of global warming V. Huber et al. https://doi.org/10.1016/j.envres.2020.109447
27. The representation of climate impacts in the FRIDAv2.1 Integrated Assessment Model C. Wells et al. https://doi.org/10.5194/gmd-19-1229-2026
28. Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales S. Lange et al. https://doi.org/10.1029/2020EF001616
29. Measuring Variation of Crop Production Vulnerability to Climate Fluctuations over Time, Illustrated by the Case Study of Wheat from the Abruzzo Region (Italy) V. Guerriero et al. https://doi.org/10.3390/su16156462
30. Short-Term Forecasting of Crop Production for Sustainable Agriculture in a Changing Climate V. Guerriero et al. https://doi.org/10.3390/su17136135
31. Climate change adaptation and resilience among vegetable farmers K. Arimi https://doi.org/10.1080/19315260.2020.1861160
32. Future climate change significantly alters interannual wheat yield variability over half of harvested areas W. Liu et al. https://doi.org/10.1088/1748-9326/ac1fbb
33. Global and regional impacts of climate change at different levels of global temperature increase N. Arnell et al. https://doi.org/10.1007/s10584-019-02464-z
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35. Climate change impacts on flood peaks in Britain for a range of global mean surface temperature changes A. Rudd et al. https://doi.org/10.1111/jfr3.12863
36. Global food self-sufficiency in the 21st century under sustainable intensification of agriculture A. Beltran-Peña et al. https://doi.org/10.1088/1748-9326/ab9388
37. Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble C. Folberth et al. https://doi.org/10.1371/journal.pone.0221862
38. An empirical, Bayesian approach to modelling crop yield: Maize in USA R. Shirley et al. https://doi.org/10.1088/2515-7620/ab67f0
39. Multiple climate-related stressors in the tropics and beneficial changes in northern latitudes will mostly have emerged before 2050 A. Brouillet et al. https://doi.org/10.1371/journal.pone.0293551
40. Forecasting by means of a novel regression approach involving time-varying parameters: wheat yield projection based on climatic data V. Guerriero et al. https://doi.org/10.1088/2515-7620/ae4b91
41. CropFusionNet: an interpretable deep learning framework for uncertainty-aware crop yield forecasting across Germany A. Srivastava et al. https://doi.org/10.1016/j.aiia.2026.08.016
42. Future changes in agrometeorological extremes in the southern Mediterranean region: When and where will they affect croplands and wheatlands? B. Mirgol et al. https://doi.org/10.1016/j.agrformet.2024.110232
43. Pest management facing warming and chemical stresses: Multi-stress effects on the biological agent Trichogramma oleae W. Nusillard et al. https://doi.org/10.1016/j.scitotenv.2024.174709
44. Comparative changes in sugars and lipids show evidence of a critical node for regeneration in safflower seeds during aging L. Zhou et al. https://doi.org/10.3389/fpls.2022.1020478
45. Understanding nexuses between precipitation changes and climate change and variability in semi-arid lowlands of Mwanga District, Tanzania F. Bagambilana & W. Rugumamu https://doi.org/10.5897/AJEST2018.2586
46. Climate-triggered land transition and sustainable district planning: GIS-based allocation for housing, renewable energy and open space S. Isaac et al. https://doi.org/10.1108/SASBE-12-2025-0812
47. Warming enhances productivity despite exacerbated water and nutrient deficits in wild blueberry, a traditionally managed temperate crop P. Pahadi et al. https://doi.org/10.1016/j.agrformet.2025.110820