Maritime Policy & Management

Papers
(The H4-Index of Maritime Policy & Management is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Digitalization and new technologies for sustainable business models at the ship–port interface: a bibliometric analysis85
Forecasting COVID-19 impact on RWI/ISL container throughput index by using SARIMA models42
Agency encroachment and information sharing: cooperation and competition in freight forwarding market28
Passive or proactive capacity sharing? A perspective of cooperation and competition between two regional ports26
Ship detention prediction via feature selection scheme and support vector machine (SVM)24
Developing and demonstrating a maturity model for smart ports23
A fuzzy best–worst method (BWM) to assess the potential environmental impacts of the process of ship recycling22
Green supply chain management strategy and financial performance in the shipping industry22
Ship selection in port state control: status and perspectives22
Digital empowerment for shipping development: a framework for establishing a smart shipping index system20
Shipping companies’ choice of low sulfur fuel oil with government subsidy and different maritime supply chain power structures19
Exploring technical and non-technical competencies of navigators for autonomous shipping19
Life Cycle Assessment and Life Cycle Costing for assessing maritime transport: a comprehensive literature review19
Assessing key performance indicators in the shipbuilding industry; an MCDM approach19
Stepping up: the need for Proactive Employer Investment in Safeguarding Seafarers’ Mental Health and Wellbeing18
Port activity and technical efficiency: determinants and external factors18
Spatial-temporal heterogeneity of global ports resilience under Pandemic: a case study of COVID-1918
Stock market reactions of maritime shipping industry in the time of COVID-19 pandemic crisis: an empirical investigation18
A deep learning approach for port congestion estimation and prediction18
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