A Scopus-based bibliometric study of maritime research involving the Automatic Identification System. (June 2021)
- Record Type:
- Journal Article
- Title:
- A Scopus-based bibliometric study of maritime research involving the Automatic Identification System. (June 2021)
- Main Title:
- A Scopus-based bibliometric study of maritime research involving the Automatic Identification System
- Authors:
- Meyers, Steven D.
Azevedo, Laura
Luther, Mark E. - Abstract:
- Highlights: The number of publications, authors and institutions is growing rapidly. US researchers are underrepresented. Collaboration between institutions was relatively sparse. Recent changes indicate China has made a strategic shift into this field. International organizations provide cooperative platforms for competing entities. Abstract: Vessel traffic records from the Automatic Identification System (AIS) are a useful source of information for maritime data analytics, and of training data for maritime artificial intelligence systems. Researchers utilizing these data are developing the foundations for operational maritime tools essential to economic expansion and security. The global growth and distribution of this research effort from 1997 to 2019 was examined through a bibliometric study of 817 Scopus-listed publications. Indications of both collaboration and accelerating competition were found by examining the number of publications and authors, national and institutional affiliations of the authors, and number of citations received. Prior to 2003 about 1–5 publications per year appeared in the literature. The annual number of publications has doubled roughly every 5 years since the mid-2000s, reaching 140 in 2019. About 82% of publications were by authors based in a single country. Overall, authors affiliated with China contributed to 27% of all publications, followed by the US (9%) and Italy (8%). Authors from EU countries, taken collectively, were most commonHighlights: The number of publications, authors and institutions is growing rapidly. US researchers are underrepresented. Collaboration between institutions was relatively sparse. Recent changes indicate China has made a strategic shift into this field. International organizations provide cooperative platforms for competing entities. Abstract: Vessel traffic records from the Automatic Identification System (AIS) are a useful source of information for maritime data analytics, and of training data for maritime artificial intelligence systems. Researchers utilizing these data are developing the foundations for operational maritime tools essential to economic expansion and security. The global growth and distribution of this research effort from 1997 to 2019 was examined through a bibliometric study of 817 Scopus-listed publications. Indications of both collaboration and accelerating competition were found by examining the number of publications and authors, national and institutional affiliations of the authors, and number of citations received. Prior to 2003 about 1–5 publications per year appeared in the literature. The annual number of publications has doubled roughly every 5 years since the mid-2000s, reaching 140 in 2019. About 82% of publications were by authors based in a single country. Overall, authors affiliated with China contributed to 27% of all publications, followed by the US (9%) and Italy (8%). Authors from EU countries, taken collectively, were most common (37%). From 2016 to 2019 the number of authors from China quadrupled, and the number of publications with at least one China-affiliated author quintupled, producing about 39% of all publications in that time period. Some policy questions arising from this study are presented, and the need for continuing international collaboration and cooperative development are discussed. … (more)
- Is Part Of:
- Transportation research interdisciplinary perspectives. Volume 10(2021)
- Journal:
- Transportation research interdisciplinary perspectives
- Issue:
- Volume 10(2021)
- Issue Display:
- Volume 10, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 10
- Issue:
- 2021
- Issue Sort Value:
- 2021-0010-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06
- Subjects:
- Automatic Identification System -- Maritime data -- Artificial intelligence -- Maritime policy -- Scientific collaboration -- Research trends
Transportation -- Periodicals
388.05 - Journal URLs:
- https://www.sciencedirect.com/journal/transportation-research-interdisciplinary-perspectives/issues ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.trip.2021.100387 ↗
- Languages:
- English
- ISSNs:
- 2590-1982
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
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