
Blockchain technologies, heralded as a transformative force reshaping numerous industries, have recently garnered significant attention within the maritime sector. This study conducts a thorough bibliometric review of 107 scholarly papers authored by 310 scholars, exploring the convergence of blockchain and maritime across 74 reputable scientific journals sourced from the Web of Science databases. Utilizing the powerful R software and Bibliometrix tool, a comprehensive analysis of bibliographical data is undertaken to extract insightful findings. Traversing the scholarly landscape, this research elucidates the multifaceted perspectives and discoveries emerging within the maritime blockchain domain. Through the application of bibliometric techniques, the aim is to uncover prevalent patterns, trends, and crucial themes, thereby offering a comprehensive overview of the academic discourse. In addition to mapping out key contributors and influential journals, this study delves into the interdisciplinary nature of blockchain applications in maritime contexts, showcasing collaborative efforts among scholars from diverse backgrounds. The temporal evolution of scholarly contributions is meticulously examined, providing nuanced insights into the dynamic nature of the field and identifying periods of heightened activity. This research not only serves as a valuable resource for maritime and blockchain scholars but also lays the groundwork for future research endeavors. By integrating bibliometric rigor, diverse scholarly perspectives, and advanced analytical tools, a holistic understanding of the current state and future trajectories of blockchain technology in the maritime industry is facilitated.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
