A bibliometric analysis on the visibility of the Sentinel-1 mission in the scientific literature

Abstract

Seven years after the launch of the first Sentinel-1 satellite, its data have been widely used in the scientific community. This study provides the first quantitative analysis of the visibility of the Sentinel-1 mission to the scientific literature through a bibliometric analysis of 1628 articles published in scientific journals during the 2014–2020 period. The main findings show that the number of Sentinel-1 mission-related papers increased significantly over the years, with an annual growth rate of 83%. Remote sensing is the most popular journal where 31.75% of the publication collection has been published. China and the USA are the two most productive countries with a share of 22.30% and 16.22% in the collection. Research based on the Sentinel-1 data covered a wide range of topics in geoscience disciplines. The use of SAR interferometry, focusing on the studies of landslide, earthquake, ground deformation, and subsidence, is the most important research direction using Sentinel-1 data. Image fusion of Sentinel-1 and Sentinel-2 observations for mapping and monitoring applications is the second most important research direction. Other popular research areas are glaciology, soil moisture, agriculture, rice monitoring, and ship detection. This study uses bibliographic data derived only from the Scopus database; therefore, it might not cover all Sentinel-1 related documents. However, this paper is a good reference for researchers who want to use Sentinel-1 data in their studies. The two Sentinel-1 satellites will provide scientific data for years to come, meaning that this type of analysis should be done on a regular basis.

Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database

“…Similar to what has been observed in previous articles about the journal selection of other fields related to satellite remote sensing (Hemati et al 2021;Pham-Duc and Nguyen 2022), a large proportion of GEE-related articles were published in Remote Sensing and Remote Sensing of Environment (Fig. 5).…”

“…Bibliometric analysis was utilized to analyze the trends of using GEE globally, following the guidelines presented in (Pham-Duc et al 2020;Pham-Duc and Nguyen 2022). The search query (Box 1) was used to retrieve relevant original and review articles from the Scopus database (https:// www.…”

A bibliometric analysis of situational interest research

“…The bibliometric coupling method was used to investigate the relationships between journals based on the number of citations in Figure 4. The thickness of the lines connecting the node indicates the strength of the bibliographic relationship between the journals, and the size of the nodes is proportional to the number of publications (Pham‐Duc & Nguyen, 2022). As shown in Figure 4, the International Journal of Science Education and Journal of Educational Psychology are the most influential journals published in situational interest research.…”

Global scientific literature on human resource development: a bibliometric analysis using Scopus database

“…Third, metadata of the final publication collection was exported into bibliography and comma-separated values files for data processing and data visualization using two popular bibliographic tools, namely, Biblioshiny (Aria and Cuccurullo, 2017) and VOSviewer (van Eck and Waltman, 2010). Biblioshiny is an open-source tool programmed in the R environment for executing a comprehensive science mapping analysis of scientific literature, whereas VOSviewer is a free Java tool, designed for analyzing and visualizing citation networks of scientific literature (Pham-Duc and Nguyen, 2022). Each tool has its advantages and limitations, however, combining information derived from both tools allows us to have a comprehensive overview on the global development of scientific literature related to the field of HRD research.…”

“…Biblioshiny is an open-source tool programmed in the R environment for executing a comprehensive science mapping analysis of scientific literature, whereas VOSviewer is a free Java tool, designed for analyzing and visualizing citation networks of scientific literature (Pham-Duc and Nguyen, 2022). Each tool has its advantages and limitations, however, combining information derived from both tools allows us to have a comprehensive overview on the global development of scientific literature related to the field of HRD research.…”