| Experimental evaluation of a vibration-based leak detection technique for water pipelines S Yazdekhasti, KR Piratla, S Atamturktur, A Khan Structure and Infrastructure Engineering 14 (1), 46-55, 2018 | 80 | 2018 |
| Novel vibration-based technique for detecting water pipeline leakage S Yazdekhasti, KR Piratla, S Atamturktur, AA Khan Structure and Infrastructure Engineering 13 (6), 731-742, 2017 | 72 | 2017 |
| Sustainability analysis of a leakage-monitoring technique for water pipeline networks S Yazdekhasti, KR Piratla, J Sorber, S Atamturktur, A Khan, H Shukla Journal of Pipeline Systems Engineering and Practice 11 (1), 04019052, 2020 | 36 | 2020 |
| Empirical analysis of water-main failure consequences KR Piratla, SR Yerri, S Yazdekhasti, J Cho, D Koo, JC Matthews Procedia engineering 118, 727-734, 2015 | 34 | 2015 |
| Empirical analysis of large diameter water main break consequences SR Yerri, KR Piratla, JC Matthews, S Yazdekhasti, J Cho, D Koo Resources, Conservation and Recycling 123, 242-248, 2017 | 27 | 2017 |
| A failure risk-based culvert renewal prioritization framework KR Piratla, H Jin, S Yazdekhasti Infrastructures 4 (3), 43, 2019 | 18 | 2019 |
| Optimal selection of acoustic leak detection techniques for water pipelines using multi-criteria decision analysis S Yazdekhasti, KR Piratla, JC Matthews, A Khan, S Atamturktur Management of Environmental Quality: An International Journal 29 (2), 255-277, 2018 | 12 | 2018 |
| Analysis of Factors Influencing the Selection of Water Main Rehabilitation Methods S Yazdekhasti, KR Piratla, A Khan, S Atamturktur NASTT No Dig, 2014 | 9 | 2014 |
| Performance evaluation of pipe break machine learning models using datasets from multiple utilities TYJ Chen, G Vladeanu, S Yazdekhasti, CM Daly Journal of Infrastructure Systems 28 (2), 05022002, 2022 | 8 | 2022 |
| Evaluation of artificial intelligence tool performance for predicting water pipe failures S Yazdekhasti, G Vladeanu, C Daly Pipelines 2020, 203-211, 2020 | 6 | 2020 |
| Risk analysis in the absence of data to help plan capital improvement projects G Vladeanu, S Yazdekhasti, C Michael Daly Pipelines 2021, 125-134, 2021 | 3 | 2021 |
| Sustainable leakage monitoring systems for water distribution pipeline networks S Yazdekhasti, KR Piratla, J Sorber Pipelines 2017, 319-330, 2017 | 1 | 2017 |
| Statistical Modeling of Lead Service Line Locations Using Open‐Source Data. E Feider‐Blazer, TYJ Chen, S Yazdekhasti, CM Daly Journal: American Water Works Association 115 (1), 2023 | | 2023 |
| Role of Transient Pressure Monitoring in Sustainable Management of Water Distribution Systems C Duckworth, C Daly, S Yazdekhasti Pipelines 2019, 329-338, 2019 | | 2019 |
| Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring S Yazdekhasti Clemson University, 2017 | | 2017 |
| 2DV Hydrodynamic model for reservoir with artificial compressibility approach S Yazdekhasti, Z Akbarzadeh, MM Namin The 6th National Congress on Civil Engineering, Iran, 2011 | | 2011 |
| Hydrodynamic and Water Quality Modeling of Yamchi Reservoir Z Akbarzadeh, S Yazdekhasti, MM Namin VI EWRA International symposium – Water Engineering and Management in a …, 2011 | | 2011 |
| 2DV Hydrodynamic Modeling of Reservoirs S Yazdekhasti, Z Akbarzadeh, MM Namin VI EWRA International symposium- Water Engineering and Management in a …, 2011 | | 2011 |
| Theory of Nitrogen in Water Quality Models Z Akbarzadeh, S Yazdekhasti, MM Namin The 4th Conference and Exhibition on Environmental Engineering, Iran, 2010 | | 2010 |
| 2D Simulation of Hydrodynamic and Water Quality Variables of Yamchi reservoir S Yazdekhasti, Z Akbarzadeh, MM Namin The 4th Conference and Exhibition on Environmental Engineering, Iran, 2010 | | 2010 |
