Year |
Citation |
Score |
2020 |
Barnes EM, Campbell BT, Vellidis G, Porter W, Payero J, Leib B, Sui R, Fisher DK, Anapalli S, Colaizzi P, Bordovsky J, Porter D, Ale S, Mahan J, Taghvaeian S, et al. Forty Years of Increasing Cotton’s Water Productivity and Why the Trend Will Continue Applied Engineering in Agriculture. 36: 457-478. DOI: 10.13031/Aea.13911 |
0.419 |
|
2020 |
Samimi M, Mirchi A, Moriasi D, Ahn S, Alian S, Taghvaeian S, Sheng Z. Modeling Arid/Semi-arid Irrigated Agricultural Watersheds with SWAT: Applications, Challenges, and Solution Strategies Journal of Hydrology. 125418. DOI: 10.1016/J.Jhydrol.2020.125418 |
0.534 |
|
2020 |
Barkhordari S, Shahadany SMH, Taghvaeian S, Firoozfar AR, Maestre JM. Reducing losses in earthen agricultural water conveyance and distribution systems by employing automatic control systems Computers and Electronics in Agriculture. 168: 105122. DOI: 10.1016/J.Compag.2019.105122 |
0.451 |
|
2020 |
Masasi B, Taghvaeian S, Gowda PH, Marek G, Boman R. Validation and application of AquaCrop for irrigated cotton in the Southern Great Plains of US Irrigation Science. 1-15. DOI: 10.1007/S00271-020-00665-4 |
0.473 |
|
2019 |
Movahedinia M, Samani JMV, Barakhasi F, Taghvaeian S, Stepanian R. Simulating the effects of low impact development approaches on urban flooding: a case study from Tehran, Iran. Water Science and Technology : a Journal of the International Association On Water Pollution Research. 80: 1591-1600. PMID 31961821 DOI: 10.2166/Wst.2019.412 |
0.334 |
|
2019 |
Ajaz A, Taghvaeian S, Khand K, Gowda PH, Moorhead JE. Development and Evaluation of an Agricultural Drought Index by Harnessing Soil Moisture and Weather Data Water. 11: 1375. DOI: 10.3390/W11071375 |
0.431 |
|
2019 |
Masasi B, Taghvaeian S, Boman R, Datta S. Impacts of Irrigation Termination Date on Cotton Yield and Irrigation Requirement Agriculture. 9: 1-15. DOI: 10.3390/Agriculture9020039 |
0.428 |
|
2019 |
Handa D, Frazier R, Taghvaeian S, Warren J. The Efficiencies, Environmental Impacts and Economics of Energy Consumption for Groundwater-Based Irrigation in Oklahoma Agriculture. 9: 27. DOI: 10.3390/Agriculture9020027 |
0.327 |
|
2019 |
Masasi B, Taghvaeian S, Gowda PH, Warren J, Marek G. Simulating Soil Water Content, Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCrop Jawra Journal of the American Water Resources Association. 55: 976-993. DOI: 10.1111/1752-1688.12757 |
0.458 |
|
2019 |
Shahdany SMH, Taghvaeian S, Maestre JM, Firoozfar AR. Developing a centralized automatic control system to increase flexibility of water delivery within predictable and unpredictable irrigation water demands Computers and Electronics in Agriculture. 163: 104862. DOI: 10.1016/J.Compag.2019.104862 |
0.514 |
|
2019 |
Wagle P, Gowda PH, Manjunatha P, Northup BK, Rocateli AC, Taghvaeian S. Carbon and water dynamics in co-located winter wheat and canola fields in the U.S. Southern Great Plains Agricultural and Forest Meteorology. 279: 107714. DOI: 10.1016/J.Agrformet.2019.107714 |
0.326 |
|
2018 |
Datta S, Taghvaeian S, Ochsner TE, Moriasi D, Gowda P, Steiner JL. Performance Assessment of Five Different Soil Moisture Sensors under Irrigated Field Conditions in Oklahoma. Sensors (Basel, Switzerland). 18. PMID 30400674 DOI: 10.3390/S18113786 |
0.381 |
|
2018 |
Taghvaeian S, Neale CMU, Osterberg JC, Sritharan SI, Watts DR. Remote Sensing and GIS Techniques for Assessing Irrigation Performance: Case Study in Southern California Journal of Irrigation and Drainage Engineering-Asce. 144: 5018002. DOI: 10.1061/(Asce)Ir.1943-4774.0001306 |
0.326 |
|
2018 |
Shahdany SMH, Firoozfar A, Maestre JM, Mallakpour I, Taghvaeian S, Karimi P. Operational performance improvements in irrigation canals to overcome groundwater overexploitation Agricultural Water Management. 204: 234-246. DOI: 10.1016/J.Agwat.2018.04.014 |
0.517 |
|
2018 |
Cid P, Taghvaeian S, Hansen NC. Evaluation of the Fao‐56 Methodology For Estimating Maize Water Requirements Under Deficit And Full Irrigation Regimes In Semiarid Northeastern Colorado Irrigation and Drainage. 67: 605-614. DOI: 10.1002/Ird.2245 |
0.468 |
|
2017 |
Khand K, Taghvaeian S, Hassan-Esfahani L. Mapping Annual Riparian Water Use Based on the Single-Satellite-Scene Approach Remote Sensing. 9: 832. DOI: 10.3390/Rs9080832 |
0.506 |
|
2015 |
DeJonge KC, Taghvaeian S, Trout TJ, Comas LH. Comparison of canopy temperature-based water stress indices for maize Agricultural Water Management. 156: 51-62. DOI: 10.1016/J.Agwat.2015.03.023 |
0.466 |
|
2014 |
Taghvaeian S, Comas L, DeJonge KC, Trout TJ. Conventional and simplified canopy temperature indices predict water stress in sunflower Agricultural Water Management. 144: 69-80. DOI: 10.1016/J.Agwat.2014.06.003 |
0.528 |
|
2014 |
Taghvaeian S, Chávez JL, Bausch WC, DeJonge KC, Trout TJ. Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize Irrigation Science. 32: 53-65. DOI: 10.1007/S00271-013-0415-Z |
0.44 |
|
2013 |
Taghvaeian S, Chávez JL, Hattendorf MJ, Crookston MA. Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation Treatments Remote Sensing. 5: 2327-2347. DOI: 10.3390/Rs5052327 |
0.54 |
|
2012 |
Taghvaeian S, Chávez JL, Hansen NC. Infrared thermometry to estimate crop water stress index and water use of irrigated maize in northeastern colorado Remote Sensing. 4: 3619-3637. DOI: 10.3390/Rs4113619 |
0.544 |
|
2011 |
Taghvaeian S, Neale CMU. Water balance of irrigated areas: a remote sensing approach Hydrological Processes. 25: 4132-4141. DOI: 10.1002/Hyp.8371 |
0.529 |
|
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