Akademik Veri Yönetim Sistemi
Journal of Coastal Research, cilt.41, sa.6, ss.1095-1114, 2025 (SCI-Expanded)
Shoreline changes are caused by both natural and human activities. The ability to predict these changes is critical for successful coastal management strategies. This study provides a comprehensive bibliometric analysis of shoreline change and future prediction research conducted from 1991 to 2022. Using the Web of Science database, 2068 articles were analyzed, with the 100 most cited publications examined in detail. The analysis used the Bibliometrix R package and the biblioShiny module for network mapping, identifying dominant themes such as coastal erosion, shoreline change, prediction, forecasting, and geospatial technologies like remote sensing, GIS, and the Digital Shoreline Analysis System (DSAS). The findings of the study indicate a significant rise in publications from 2004 to 2010, peaking at nine publications in 2010. However, from 2010 onward, a decline is observed at varying rates, with a particularly sharp decrease after 2019. Furthermore, although shoreline prediction studies were not among the most frequently cited works, tools like DSAS have become increasingly important within the field. The findings also underscore the interdisciplinary nature of shoreline research, which bridges environmental science, engineering, and technological innovation. The Journal of Coastal Research emerged as the most influential journal, with the highest number of citations and a Hirsch index of 13. As a result, this study offers insights into the development, prevailing trends, and interdisciplinary scope of shoreline change research, serving as a foundation for future investigations and more effective coastal management strategies.