A critical review on supply chain risk–Definition, measure and modeling I Heckmann, T Comes, S Nickel Omega 52, 119-132, 2015 | 979 | 2015 |
Decision maps: A framework for multi-criteria decision support under severe uncertainty T Comes, M Hiete, N Wijngaards, F Schultmann Decision Support Systems 52 (1), 108-118, 2011 | 154 | 2011 |
Measuring disaster resilience: The impact of hurricane sandy on critical infrastructure systems. T Comes, BA Van de Walle ISCRAM 11 (May), 195-204, 2014 | 140 | 2014 |
World risk report 2016 M Garschagen, M Hagenlocher, M Comes, M Dubbert, R Sabelfeld, ... Bündnis Entwicklung Hilft and UNU-EHS, 2016 | 134 | 2016 |
Investigation of superstorm Sandy 2012 in a multi-disciplinary approach M Kunz, B Mühr, T Kunz-Plapp, JE Daniell, B Khazai, F Wenzel, ... Natural Hazards and Earth System Sciences 13 (10), 2579-2598, 2013 | 120 | 2013 |
Hurricane Harvey Report: A fact-finding effort in the direct aftermath of Hurricane Harvey in the Greater Houston Region T Sebastian, K Lendering, B Kothuis, N Brand, B Jonkman, P van Gelder, ... Delft University Publishers, 2017 | 77 | 2017 |
Cold chains, interrupted: The use of technology and information for decisions that keep humanitarian vaccines cool T Comes, K Bergtora Sandvik, B Van de Walle Journal of Humanitarian Logistics and Supply Chain Management 8 (1), 49-69, 2018 | 74 | 2018 |
Managing in-country transportation risks in humanitarian supply chains by logistics service providers: Insights from the 2015 Nepal earthquake H Baharmand, T Comes, M Lauras International journal of disaster risk reduction 24, 549-559, 2017 | 73 | 2017 |
Improving situation awareness in crisis response teams: An experimental analysis of enriched information and centralized coordination B Van de Walle, B Brugghemans, T Comes International Journal of Human-Computer Studies 95, 66-79, 2016 | 73 | 2016 |
Adapting rail and road networks to weather extremes: case studies for southern Germany and Austria C Doll, C Trinks, N Sedlacek, V Pelikan, T Comes, F Schultmann Natural hazards 72, 63-85, 2014 | 67 | 2014 |
Cognitive biases in humanitarian sensemaking and decision-making lessons from field research T Comes 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods …, 2016 | 63 | 2016 |
On the nature of information management in complex and natural disasters B Van de Walle, T Comes Procedia Engineering 107, 403-411, 2015 | 59 | 2015 |
Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience M Hiete, M Merz, T Comes, F Schultmann OR spectrum 34, 971-995, 2012 | 59 | 2012 |
A multicriteria Master Planning DSS for a sustainable humanitarian supply chain L Laguna-Salvadó, M Lauras, U Okongwu, T Comes Annals of Operations Research 283, 1303-1343, 2019 | 57 | 2019 |
A composite indicator model to assess natural disaster risks in industry on a spatial level M Merz, M Hiete, T Comes, F Schultmann Journal of Risk Research 16 (9), 1077-1099, 2013 | 55 | 2013 |
Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters H Baharmand, T Comes, M Lauras Transportation Research Part E: Logistics and Transportation Review 127, 86-110, 2019 | 50 | 2019 |
Leveraging partnerships with logistics service providers in humanitarian supply chains by blockchain-based smart contracts H Baharmand, T Comes IFAC-PapersOnLine 52 (13), 12-17, 2019 | 49 | 2019 |
Bringing structure to the disaster data typhoon: an analysis of decision-makers’ information needs in the response to Haiyan T Comes, O Vybornova, B Van de Walle 2015 AAAI Spring Symposium Series, 2015 | 46 | 2015 |
Exploring the future: Runtime scenario selection for complex and time-bound decisions T Comes, N Wijngaards, B Van de Walle Technological Forecasting and Social Change 97, 29-46, 2015 | 45 | 2015 |
Designing for networked community resilience T Comes Procedia engineering 159, 6-11, 2016 | 44 | 2016 |