Pathways to identify and reduce uncertainties in agricultural climate impact assessments
Most Cited Paper
in Rice Cultivation and Yield Improvement
18 Months Post-Publication
Class of 2026
“Pathways to identify and reduce uncertainties in agricultural climate impact assessments”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
Climate change impact assessment · uncertainty quantification · uncertainty reduction pathways · Climate change impact assessment · Agricultural systems modeling · model uncertainty · parameter uncertainty · scenario uncertainty · Crop modeling · Climate change adaptation · sensitivity analysis · ensemble modeling · Model intercomparison · agricultural vulnerability assessment · impact assessment methodology
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Rice Cultivation and Yield Improvement Papers, Class of 2026. https://pri.pepkio.com/top-papers/rice-cultivation-and-yield-improvement/2026. Accessed 2026-07-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459