Visualization, Dynamicity, and Collaborative Networking of Scientific Production on Visible Light and Skin Aging: A Scientometric Analysis

The purpose of this is to examine the visualization, dynamicity, and collaborative networking of scientific production on visible light (VL) and skin aging through scientometric analysis. This research consisted of a cross-sectional and descriptive design with a scientometric approach that examined the publication trends and collaborative patterns among authors and institutions from 2018 to 2023. A comprehensive search strategy was also employed by using specific keywords related to VL and skin aging. In this case, several indicators were employed, including scholarly output, view count, field-weighted citation impact (FWCI), and citation count. The analyses were performed by using SciVal software and R Studio version 4.3.2. A total of 180 sources were identified, with 280 documents generated, indicating an annual growth rate of 6.72%. The documents, averaging 3.25 years in age, received an average of 12.14 citations, revealing their impact. Additionally, collaborations were evident, with a ratio of 5.6 coauthors per paper and 25.71% consisting of international collaborations. In terms of institutions, there were notable disparities in scholarly activities and impact metrics, highlighting the diversity of the research landscape. Meanwhile, journals, such as , revealed a substantial impact (FWCI 2.05). Overall, the impact of the journals showed a general upward trend, reflecting dynamicity and variability over time. An annual growth rate of 6.72% was found, with 180 sources and 280 papers on VL and skin aging. Moreover, international collaborations, the positive impact in leading journals, and the distribution patterns identified through scientometric laws underscored the vitality and complexity of the field. These results offer valuable insights into guiding future research in this multidisciplinary field.