Near‐miss incident management in the chemical process industry JR Phimister, U Oktem, PR Kleindorfer, H Kunreuther Risk Analysis: An International Journal 23 (3), 445-459, 2003 | 354 | 2003 |
Operational risk assessment of chemical industries by exploiting accident databases A Meel, LM O’neill, JH Levin, WD Seider, U Oktem, N Keren Journal of Loss Prevention in the Process Industries 20 (2), 113-127, 2007 | 168 | 2007 |
The near‐miss management of operational risk A Muermann, U Oktem The Journal of Risk Finance 4 (1), 25-36, 2002 | 116 | 2002 |
Dynamic risk analysis using alarm databases to improve process safety and product quality: Part II—Bayesian analysis A Pariyani, WD Seider, UG Oktem, M Soroush AIChE Journal 58 (3), 826-841, 2012 | 80 | 2012 |
Incidents investigation and dynamic analysis of large alarm databases in chemical plants: A fluidized-catalytic-cracking unit case study A Pariyani, WD Seider, UG Oktem, M Soroush Industrial & Engineering Chemistry Research 49 (17), 8062-8079, 2010 | 65 | 2010 |
Dynamic risk analysis using alarm databases to improve process safety and product quality: Part I—Data compaction A Pariyani, WD Seider, UG Oktem, M Soroush AIChE Journal 58 (3), 812-825, 2012 | 63 | 2012 |
Assessment of catastrophe risk and potential losses in industry P Kleindorfer, UG Oktem, A Pariyani, WD Seider Computers & chemical engineering 47, 85-96, 2012 | 47 | 2012 |
Model‐predictive safety system for proactive detection of operation hazards TM Ahooyi, M Soroush, JE Arbogast, WD Seider, UG Oktem AIChE Journal 62 (6), 2024-2042, 2016 | 37 | 2016 |
Near-miss: a tool for integrated safety, health, environmental and security management UG Oktem American Institute of Chemical Engineers, 2003 | 34 | 2003 |
Dynamic prediction of risk levels for manufacturing operations through leading risk indicators UG Oktem, A Pariyani US Patent 8,884,759, 2014 | 33 | 2014 |
Near-miss system analysis: Phase I JR Phimister, U Oktem, PR Kleindorfer, H Kunreuther Risk Management and Decision Processes Center, The Wharton School …, 2000 | 30 | 2000 |
Improve process safety with near-miss analysis UG Oktem, WD Seider, M Soroush, A Pariyani Chemical Engineering Progress 109 (5), 20-27, 2013 | 28 | 2013 |
EMS and sustainable development: a model and comparative studies of integration U Oktem, P Lewis, D Donovan, JR Hagan, T Pace Strategic Sustainability, 56-75, 2017 | 26 | 2017 |
Maximum‐likelihood maximum‐entropy constrained probability density function estimation for prediction of rare events TM Ahooyi, M Soroush, JE Arbogast, WD Seider, UG Oktem AIChE Journal 60 (3), 1013-1026, 2014 | 25 | 2014 |
Near-miss management: Managing the bottom of the risk pyramid UG Oktem, R Wong, C Oktem Risk & Regulation 7 (10), 12-13, 2010 | 22 | 2010 |
Analysis of management actions, human behavior, and process reliability in chemical plants. I. Impact of management actions A Meel, WD Seider, U Oktem Process safety progress 27 (1), 7-14, 2008 | 20 | 2008 |
Estimation of complete discrete multivariate probability distributions from scarce data with application to risk assessment and fault detection TM Ahooyi, JE Arbogast, UG Oktem, WD Seider, M Soroush Industrial & Engineering Chemistry Research 53 (18), 7538-7547, 2014 | 17 | 2014 |
Improving process safety and product quality using large databases A Pariyani, W Seider, U Oktem, M Soroush Computer Aided Chemical Engineering 28, 175-180, 2010 | 17 | 2010 |
Analysis of management actions, human behavior, and process reliability in chemical plants. II. Near‐miss management system selection A Meel, WD Seider, U Oktem Process safety progress 27 (2), 139-144, 2008 | 17 | 2008 |
Near-miss management systems in the chemical process industry JR Phimister, U Oktem, PR Kleindorfer, H Kunreuther Center for Risk Management and Decision Processes, The Wharton School of …, 2001 | 16 | 2001 |