Irrigation Science

Papers
(The H4-Index of Irrigation Science is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Irrigation and fertilizer treatments affecting rosmarinic acid accumulation, total phenolic content, antioxidant potential and correlation between them in peppermint (Mentha piperita L.)35
The effect of irrigation strategies and nitrogen fertilizer rates on maize growth and grain yield22
Response of winter-wheat grain yield and water-use efficiency to irrigation with activated water on Guanzhong Plain in China22
Anti-clogging performance optimization for dentiform labyrinth emitters20
Long-term almond yield response to deficit irrigation19
Effect of a growing maize canopy on solid-set sprinkler irrigation: kinetic energy dissipation and water partitioning18
Water productivity of soybeans under regulated surface and subsurface drip irrigation conditions18
Irrigation and fertilization management to optimize rice yield, water productivity and nitrogen recovery efficiency18
Effects of different surface and subsurface drip irrigation levels on growth traits, tuber yield, and irrigation water use efficiency of potato crop16
The effect of regulated deficit irrigation on growth, yield, and berry quality of grapevines (cv. Sangiovese) grafted on rootstocks with different resistance to water deficit15
Assessment of the clumped model to estimate olive orchard evapotranspiration using meteorological data and UAV-based thermal infrared imagery15
Evaluation of crop water stress index and leaf water potential for differentially irrigated quinoa with surface and subsurface drip systems15
Electrical resistivity imaging for monitoring soil water motion patterns under different drip irrigation scenarios15
Plant height and its relationship with yield in wheat under different irrigation regime15
Spatial–temporal modeling of root zone soil moisture dynamics in a vineyard using machine learning and remote sensing14
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