| Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP M Abdelgawad, AR Fayek Journal of Construction Engineering and management 136 (9), 1028-1036, 2010 | 468 | 2010 |
| Fuzzy Monte Carlo simulation and risk assessment in construction N Sadeghi, AR Fayek, W Pedrycz Computer‐Aided Civil and Infrastructure Engineering 25 (4), 238-252, 2010 | 242 | 2010 |
| Risk identification and common risks in construction: Literature review and content analysis NB Siraj, AR Fayek Journal of construction engineering and management 145 (9), 03119004, 2019 | 240 | 2019 |
| Competitive bidding strategy model and software system for bid preparation A Fayek Journal of construction engineering and management 124 (1), 1-10, 1998 | 189 | 1998 |
| Application of fuzzy logic to forecast seasonal runoff C Mahabir, FE Hicks, AR Fayek Hydrological processes 17 (18), 3749-3762, 2003 | 164 | 2003 |
| Predicting industrial construction labor productivity using fuzzy expert systems AR Fayek, A Oduba Journal of construction engineering and management 131 (8), 938-941, 2005 | 160 | 2005 |
| Initial metrics and pilot program results for measuring the performance of the Canadian construction industry J Rankin, AR Fayek, G Meade, C Haas, A Manseau Canadian Journal of Civil Engineering 35 (9), 894-907, 2008 | 147 | 2008 |
| Measuring and classifying construction field rework: A pilot study AR Fayek, M Dissanayake, O Campero Research Rep.(May), 2003 | 137 | 2003 |
| Use of fuzzy logic for predicting design cost overruns on building projects K Knight, A Robinson Fayek Journal of Construction Engineering and Management 128 (6), 503-512, 2002 | 131 | 2002 |
| Fuzzy numbers in cost range estimating AA Shaheen, AR Fayek, SM AbouRizk Journal of Construction Engineering and Management 133 (4), 325-334, 2007 | 122 | 2007 |
| Fuzzy logic approach for activity delay analysis and schedule updating AVO Oliveros, AR Fayek Journal of Construction Engineering and Management 131 (1), 42-51, 2005 | 116 | 2005 |
| Developing a standard methodology for measuring and classifying construction field rework AR Fayek, M Dissanayake, O Campero Canadian journal of civil engineering 31 (6), 1077-1089, 2004 | 106 | 2004 |
| Fuzzy reliability analyzer: Quantitative assessment of risk events in the construction industry using fuzzy fault-tree analysis M Abdelgawad, AR Fayek Journal of Construction Engineering and Management 137 (4), 294-302, 2011 | 100 | 2011 |
| A survey of the bidding practices of Canadian civil engineering construction contractors A Fayek, I Ghoshal, S AbouRizk Canadian Journal of civil engineering 26 (1), 13-25, 1999 | 89 | 1999 |
| Modeling and evaluating construction project competencies and their relationship to project performance MN Omar, AR Fayek Automation in Construction 69, 115-130, 2016 | 87 | 2016 |
| Neuro-fuzzy river ice breakup forecasting system C Mahabir, F Hicks, AR Fayek Cold regions science and technology 46 (2), 100-112, 2006 | 85 | 2006 |
| Development and implementation of a benchmarking and metrics program for construction performance and productivity improvement H Nasir, CT Haas, JH Rankin, AR Fayek, D Forgues, J Ruwanpura Canadian Journal of Civil Engineering 39 (9), 957-967, 2012 | 81 | 2012 |
| Comprehensive hybrid framework for risk analysis in the construction industry using combined failure mode and effect analysis, fault trees, event trees, and fuzzy logic M Abdelgawad, AR Fayek Journal of Construction Engineering and Management 138 (5), 642-651, 2012 | 81 | 2012 |
| Computational method for fuzzy arithmetic operations on triangular fuzzy numbers by extension principle NG Seresht, AR Fayek International Journal of Approximate Reasoning 106, 172-193, 2019 | 80 | 2019 |
| Identifying actions to control and mitigate the effects of the COVID-19 pandemic on construction organizations: Preliminary findings M Raoufi, AR Fayek Public Works Management & Policy 26 (1), 47-55, 2021 | 76 | 2021 |
