| Review and analysis of pipeline leak detection methods NVS Korlapati, F Khan, Q Noor, S Mirza, S Vaddiraju Journal of pipeline science and engineering 2 (4), 100074, 2022 | 147 | 2022 |
| Bayesian network and game theory risk assessment model for third-party damage to oil and gas pipelines Y Cui, N Quddus, CV Mashuga Process Safety and Environmental Protection 134, 178-188, 2020 | 105 | 2020 |
| Motion of a spherical particle in a cylindrical channel using arbitrary Lagrangian–Eulerian method N Al Quddus, WA Moussa, S Bhattacharjee Journal of colloid and interface science 317 (2), 620-630, 2008 | 78 | 2008 |
| Identifying causality and contributory factors of pipeline incidents by employing natural language processing and text mining techniques G Liu, M Boyd, M Yu, SZ Halim, N Quddus Process safety and environmental protection 152, 37-46, 2021 | 77 | 2021 |
| Developing quantitative structure–property relationship models to predict the upper flammability limit using machine learning S Yuan, Z Jiao, N Quddus, JSII Kwon, CV Mashuga Industrial & Engineering Chemistry Research 58 (8), 3531-3537, 2019 | 69 | 2019 |
| Lessons learnt from the impact of hurricane Harvey on the chemical and process industry A Misuri, VC Moreno, N Quddus, V Cozzani Reliability Engineering & System Safety 190, 106521, 2019 | 67 | 2019 |
| Towards a causal model from pipeline incident data analysis SZ Halim, M Yu, H Escobar, N Quddus Process Safety and Environmental Protection 143, 348-360, 2020 | 64 | 2020 |
| Resilience assessment of a subsea pipeline using dynamic Bayesian network M Yazdi, F Khan, R Abbassi, N Quddus Journal of Pipeline Science and Engineering 2 (2), 100053, 2022 | 59 | 2022 |
| A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines M Yazdi, F Khan, R Abbassi, N Quddus, H Castaneda-Lopez Reliability Engineering & System Safety 223, 108474, 2022 | 58 | 2022 |
| Beirut ammonium nitrate explosion: Are not we really learning anything? HJ Pasman, C Fouchier, S Park, N Quddus, D Laboureur Process Safety Progress, e12203, 2020 | 47 | 2020 |
| An integrated risk prediction model for corrosion-induced pipeline incidents using artificial neural network and Bayesian analysis P Kumari, SZ Halim, JSI Kwon, N Quddus Process Safety and Environmental Protection 167, 34-44, 2022 | 46 | 2022 |
| A method for facility layout optimisation including stochastic risk assessment CB Ahumada, N Quddus, MS Mannan Process Safety and Environmental Protection 117, 616-628, 2018 | 43 | 2018 |
| Supporting risk management decision making by converting linguistic graded qualitative risk matrices through interval type-2 fuzzy sets Y Hong, HJ Pasman, N Quddus, MS Mannan Process Safety and Environmental Protection 134, 308-322, 2020 | 38 | 2020 |
| Guidance to improve the effectiveness of process safety management systems in operating facilities SW Behie, SZ Halim, B Efaw, TM O'Connor, N Quddus Journal of loss prevention in the process industries 68, 104257, 2020 | 35 | 2020 |
| A summary and synthesis of procedural regulations and standards—Informing a procedures writer's guide SC Peres, N Quddus, P Kannan, L Ahmed, P Ritchey, W Johnson, ... Journal of Loss Prevention in the Process Industries 44, 726-734, 2016 | 34 | 2016 |
| Development of a FRAM-based framework to identify hazards in a complex system M Yu, N Quddus, C Kravaris, MS Mannan Journal of Loss Prevention in the Process Industries 63, 103994, 2020 | 28 | 2020 |
| Comparison of explosion models for detonation onset estimation in large-scale unconfined vapor clouds CB Ahumada, FI Papadakis-Wood, P Krishnan, S Yuan, N Quddus, ... Journal of Loss Prevention in the Process Industries 66, 104165, 2020 | 25 | 2020 |
| Development of a procedure writers’ guide framework: Integrating the procedure life cycle and reflecting on current industry practices L Ahmed, N Quddus, P Kannan, SC Peres, MS Mannan International Journal of Industrial Ergonomics 76, 102930, 2020 | 19 | 2020 |
| Bow-tie analysis of underwater robots in offshore oil and gas operations M Yu, JA Venkidasalapathy, Y Shen, N Quddus, SM Mannan Offshore technology conference, D011S013R005, 2017 | 19 | 2017 |
| A framework to identify and respond to weak signals of disastrous process incidents based on FRAM and machine learning techniques M Yu, H Pasman, M Erraguntla, N Quddus, C Kravaris Process Safety and Environmental Protection 158, 98-114, 2022 | 17 | 2022 |
M. Sam MannanProfessor of Chemical Engineering, Texas A&M UniversityOverená e-mailová adresa na: tamu.edu