| A review of definitions and measures of system resilience S Hosseini, K Barker, JE Ramirez-Marquez Reliability Engineering & System Safety 145, 47-61, 2016 | 1984 | 2016 |
| Review of quantitative methods for supply chain resilience analysis S Hosseini, D Ivanov, A Dolgui Transportation research part E: logistics and transportation review 125, 285-307, 2019 | 1217 | 2019 |
| Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports S Hosseini, K Barker Computers & Industrial Engineering 93, 252-266, 2016 | 405 | 2016 |
| A Bayesian network model for resilience-based supplier selection S Hosseini, K Barker International Journal of Production Economics 180, 68-87, 2016 | 388 | 2016 |
| Resilient supplier selection and optimal order allocation under disruption risks S Hosseini, N Tajik, D Ivanov, MD Sarder, K Barker, A Al Khaled International Journal of Production Economics 213, 124-137, 2019 | 381 | 2019 |
| A survey on the imperialist competitive algorithm metaheuristic: implementation in engineering domain and directions for future research S Hosseini, A Al Khaled Applied Soft Computing 24, 1078-1094, 2014 | 354 | 2014 |
| Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review S Hosseini, D Ivanov Expert systems with applications 161, 113649, 2020 | 259 | 2020 |
| A hybrid ensemble and AHP approach for resilient supplier selection S Hosseini, AA Khaled Journal of Intelligent Manufacturing 30, 207-228, 2019 | 207 | 2019 |
| Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach S Hosseini, D Ivanov, A Dolgui International Journal of Production Research 58 (11), 3284-3303, 2020 | 199 | 2020 |
| Development of a Bayesian network model for optimal site selection of electric vehicle charging station S Hosseini, MD Sarder International Journal of Electrical Power & Energy Systems 105, 110-122, 2019 | 197 | 2019 |
| A new resilience measure for supply networks with the ripple effect considerations: A Bayesian network approach S Hosseini, D Ivanov Annals of Operations Research 319 (1), 581-607, 2022 | 187 | 2022 |
| A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port NUI Hossain, F Nur, S Hosseini, R Jaradat, M Marufuzzaman, SM Puryear Reliability Engineering & System Safety 189, 378-396, 2019 | 171 | 2019 |
| Conceptualization and measurement of supply chain resilience in an open-system context S Hosseini, D Ivanov, J Blackhurst IEEE Transactions on Engineering Management 69 (6), 3111-3126, 2020 | 147 | 2020 |
| Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context J Moosavi, S Hosseini Computers & industrial engineering 160, 107593, 2021 | 145 | 2021 |
| A general framework for assessing system resilience using Bayesian networks: A case study of sulfuric acid manufacturer S Hosseini, A Al Khaled, MD Sarder Journal of Manufacturing Systems 41, 211-227, 2016 | 144 | 2016 |
| A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system NUI Hossain, R Jaradat, S Hosseini, M Marufuzzaman, RK Buchanan International Journal of Critical Infrastructure Protection 25, 62-83, 2019 | 142 | 2019 |
| Applications of eco-friendly refrigerants and nanorefrigerants: A review A Kasaeian, SM Hosseini, M Sheikhpour, O Mahian, WM Yan, ... Renewable and Sustainable Energy Reviews 96, 91-99, 2018 | 136 | 2018 |
| A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic S Hosseini, D Ivanov International Journal of Production Research 60 (17), 5258-5276, 2022 | 115 | 2022 |
| A novel heuristic approach for solving aircraft landing problem with single runway S Vadlamani, S Hosseini Journal of Air Transport Management 40, 144-148, 2014 | 83 | 2014 |
| Hybrid imperialist competitive algorithm, variable neighborhood search, and simulated annealing for dynamic facility layout problem S Hosseini, AA Khaled, S Vadlamani Neural Computing and Applications 25, 1871-1885, 2014 | 76 | 2014 |
Dmitry IvanovBerlin School of Economics and LawVerified email at hwr-berlin.de