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Irrigation & Drainage Systems Engineering

ISSN: 2168-9768

Open Access

Citations Report

Irrigation & Drainage Systems Engineering : Citations & Metrics Report

Articles published in Irrigation & Drainage Systems Engineering have been cited by esteemed scholars and scientists all around the world.

Irrigation & Drainage Systems Engineering has got h-index 13, which means every article in Irrigation & Drainage Systems Engineering has got 13 average citations.

Following are the list of articles that have cited the articles published in Irrigation & Drainage Systems Engineering.

  2020 2019 2018 2017 2016

Year wise published articles

20 13 24 23 26

Year wise citations received

201 146 128 144 140
Journal total citations count 1570
Journal impact factor 5.43
Journal 5 years impact factor 7.20
Journal cite score 7.80
Journal h-index 13
Journal h-index since 2016 13
Important citations

ADARE, Z. M. (2015). INFLUENCE OF SOWING TIME AND DEFICIT IRRIGATION IN RELATION TO TEMPERATURE AND SOLAR RADIATION ON GROWTH AND YIELD OF COTTON (Gossypium hirsutum L.) (Doctoral dissertation, PROFESSOR JAYASHANKAR TELANGANA STATE AGRICULTURAL UNIVERSITY, RAJENDRANAGAR, HYDERABAD).

EPISODIC, C. C. F. D. U. (2013). IRRIGATION INTERRUPTION. The Effects of Varying Levels of Deficit Irrigation and Episodic Drought Stress on, 77.

Amonoo, S. E., & Tack, J. (2013). Effect of Late Season Precipitation on Cotton Yield Distributions (Doctoral dissertation, MISSISSIPPI STATE UNIVERSITY).

Simao, F. R., Ritchie, G. L., & Bednarz, C. W. (2013). Cotton physiological parameters affected by episodic irrigation interruption. Journal of Agricultural Science and Technology. A, 3(6A), 443.

Bordovsky, J. P., Mustian, J. T., Ritchie, G. L., & Lewis, K. L. (2015). Cotton irrigation timing with variable seasonal irrigation capacities in the Texas south plains. Applied Engineering in Agriculture, 31(6), 883-897.

Lorenzini, G., Medici, M., Saro, O., & De Wrachien, D. (2014). Water droplets behavior in sprinkler irrigation: Thermal-fluid dynamical assessment and quantum considerations. Journal of Engineering Thermophysics, 23(4), 316-324.

Gorrie, A. (2016). Optimisation of solar desalination process: an investigation of the critical parameters affecting solar still water production in the context of a developing country.

De Wrachien, D., Lorenzini, G., & Medici, M. WATER DROPLET AND AERIAL PATH IN IRRIGATION SYSTEMS: CLASSICAL AND QUANTUM TERMOFLUIDYNAMICAL APPROACHES AND NUMERICAL APPROXIMATION METHODS.

Moretti, S. (2009). Giulio Lorenzini. Journal of Heat Transfer, 131, 081801-1.

DE WRACHIEN, D., LORENZINI, G., MAMBRETTI, S., & MEDICI, M. 44. SIMPOZIJ.

LORENZINI, G., MEDICI, M., SARO, O., & WRACHIEN, D. D. (2015). Sprinkler jet flow: classical and quantum thermal-fluid dynamical assessment. In Proceedings of the 43rd International Symposium on Agricultural Engineering, Actual Tasks on Agricultural Engineering, Opatija, Croatia, 24-27 February 2015 (pp. 77-87). University of Zagreb.

Medici, M., Lorenzini, G., & De Wrachien, D. (2014). Water Droplet Trajectories in a Sprinkler Jet Flow: The Quantum Hydrodynamic Framework. Irrigation and Drainage, 63(3), 359-364.

DE WRACHIEN, D. A. N. I. E. L. E., LORENZINI, G., & MAMBRETTI, S. (2013). Water droplet trajectories in a sprinkler spray flow: the classic versus quantum and single versus multi-droplet pictures. International Journal of Computational Methods and Experimental Measurements, 1(2), 164-172.

Zheng, M., Li, Y., Tian, Y., Hu, J., Zhao, Y., & Yu, L. (2015). Effect of blade installation angle on power efficiency of resistance type VAWT by CFD study. International Journal of Energy and Environmental Engineering, 6(1), 1-7.

De Wrachien, D., & Lorenzini, G. (2012). Quantum mechanics applied to the dynamic assessment of a cluster of water particles in sprinkler irrigation. Journal of Engineering Thermophysics, 21(3), 193-197.

Lorenzini, G., & Moretti, S. (2014). Bejan’s Constructal theory and overall performance assessment: The global optimization for heat exchanging finned modules. Thermal Science, 18(2), 339-348.

Li, H., Wigmosta, M. S., Wu, H., Huang, M., Ke, Y., Coleman, A. M., & Leung, L. R. (2013). A physically based runoff routing model for land surface and earth system models. Journal of Hydrometeorology, 14(3), 808-828.

Hejazi, M. Water Modeling in GCAM–Key Accomplishments & Future Directions.

Hejazi, M. Modeling water, land, and energy interactions in GCAM-a water focus.

Krey, V. (2014). Global energy‐climate scenarios and models: a review. Wiley Interdisciplinary Reviews: Energy and Environment, 3(4), 363-383.

Relevant Topics

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