Afandi Abdul Ghani , Noor Apandi Osnin , Md Redzuan Zoolfakar
{"title":"Mathematical modelling application in maritime Vessel: An analysis of bibliometric research publications from 1962 to 2023 utilizing Scopus databases","authors":"Afandi Abdul Ghani , Noor Apandi Osnin , Md Redzuan Zoolfakar","doi":"10.1016/j.ocecoaman.2025.107747","DOIUrl":null,"url":null,"abstract":"<div><div>Mathematical modelling is a crucial tool in maritime research, optimizing vessel performance, safety, and environmental sustainability. This study provides a 61-year bibliometric analysis (1962–2023) of mathematical modelling in maritime vessels using Scopus data. It highlights global research trends, key contributors, and emerging themes such as Digital Twin technologies and artificial intelligence. While identifying research gaps, the analysis reveals the field's response to challenges like decarbonization and automation. Insights are provided for researchers, policymakers, and industry stakeholders to enhance sustainable practices and innovation. The findings emphasize the evolving role of mathematical modelling in addressing critical maritime issues, offering a roadmap for future advancements.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"267 ","pages":"Article 107747"},"PeriodicalIF":4.8000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean & Coastal Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0964569125002091","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
Mathematical modelling is a crucial tool in maritime research, optimizing vessel performance, safety, and environmental sustainability. This study provides a 61-year bibliometric analysis (1962–2023) of mathematical modelling in maritime vessels using Scopus data. It highlights global research trends, key contributors, and emerging themes such as Digital Twin technologies and artificial intelligence. While identifying research gaps, the analysis reveals the field's response to challenges like decarbonization and automation. Insights are provided for researchers, policymakers, and industry stakeholders to enhance sustainable practices and innovation. The findings emphasize the evolving role of mathematical modelling in addressing critical maritime issues, offering a roadmap for future advancements.
期刊介绍:
Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels.
We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts.
Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.