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Supun Perera
Supun Perera
Institute of Transport and Logistics Studies (ITLS), University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Investigating transport network vulnerability by capacity weighted spectral analysis
MGH Bell, F Kurauchi, S Perera, W Wong
Transportation Research Part B: Methodological 99, 251-266, 2017
1312017
Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective
S Perera, MGH Bell, MCJ Bliemer
Applied network science 2, 1-25, 2017
1122017
An eigenvector centrality analysis of world container shipping network connectivity
KF Cheung, MGH Bell, JJ Pan, S Perera
Transportation Research Part E: Logistics and Transportation Review 140, 101991, 2020
862020
Network growth models: A behavioural basis for attachment proportional to fitness
M Bell, S Perera, M Piraveenan, M Bliemer, T Latty, C Reid
Nature Scientific Reports 7, 42431, 2017
752017
The relationship between nested patterns and the ripple effect in complex supply networks
VK Chauhan, S Perera, A Brintrup
International Journal of Production Research 59 (1), 325-341, 2021
542021
Resurgence of demand responsive transit services–Insights from BRIDJ trials in inner west of Sydney, Australia
S Perera, C Ho, D Hensher
Research in Transportation Economics 83, 100904, 2020
402020
Topological structure of manufacturing industry supply chain networks
SS Perera, MGH Bell, M Piraveenan, D Kasthurirathna, M Parhi
Complexity 2018 (1), 3924361, 2018
402018
Connectivity analysis of the global shipping network by eigenvalue decomposition
JJ Pan, MGH Bell, KF Cheung, S Perera, H Yu
Maritime Policy & Management 46 (8), 957-966, 2019
372019
Impact of change in head and neck position on ultrasound localisation of the cricothyroid membrane: an observational study
A Dixit, KK Ramaswamy, S Perera, V Sukumar, C Frerk
Anaesthesia 74 (1), 29-32, 2019
272019
An entropy maximizing approach to the ferry network design problem
MGH Bell, JJ Pan, C Teye, KF Cheung, S Perera
Transportation Research Part B: Methodological 132, 15-28, 2020
252020
Structural characteristics of complex supply chain networks
S Perera, HN Perera, D Kasthurirathna
2017 moratuwa engineering research conference (mercon), 135-140, 2017
212017
Detecting and improving public-transit connectivity with case studies of two world sport events
AA Ceder, S Perera
Transport Policy 33, 96-109, 2014
162014
Identifying container shipping network bottlenecks along China’s Maritime Silk Road based on a spectral analysis
J Pan, MGH Bell, KF Cheung, S Perera
Maritime Policy & Management 48 (8), 1138-1150, 2021
152021
Topological rationality of supply chain networks
S Perera, D Kasthurirathna, M Bell, M Bliemer
International Journal of Production Research 58 (10), 3126-3149, 2020
112020
Value chain approach for modelling resilience of tiered supply chain networks
S Perera, HN Perera, D Kasthurirathna
2017 Moratuwa Engineering Research Conference (MERCon), 159-164, 2017
112017
Modelling supply chains as complex networks for investigating resilience: an improved methodological framework
SS Perera, MGH Bell, MCJ Bliemer
Proceedings of the 37th Australasian Transport Research Forum (ATRF), Sydney …, 2015
112015
Resilience characteristics of supply network topologies generated by fitness based growth models
SS Perera, MGH Bell, MCJ Bliemer
Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016
92016
Challenges of one-year longitudinal follow-up of a prospective, observational cohort study using an anonymised database: recommendations for trainee research collaboratives
D Nepogodiev
BMC medical research methodology 19, 1-7, 2019
82019
Absorbing markov chain approach to modelling disruptions in supply chain networks
S Perera, MGH Bell, F Kurauchi, D Kasthurirathna
2019 Moratuwa Engineering Research Conference (MERCon), 515-520, 2019
72019
Network science approach to modelling emergence and topological robustness of supply networks: a review and perspective
S Perera, M Bell, M Bliemer
arXiv preprint arXiv:1803.09913, 2018
72018
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