Cotton Fiber in Web of Science and Scopus: Mapping and Visualization of Research Topics and Publishing Patterns. Issue 4 (3rd April 2021)

• Record Type: Journal Article
• Authors: Stopar, Karmen; Mackiewicz-Talarczyk, Maria; Bartol, Tomaž
• Is Part Of: Journal of natural fibers. Volume 18:Issue 4(2021)
• Page Start: 547
• Page End: 558
• Publication Date: 2021-04-03
• Subjects: Fiber plants -- cotton -- scientific information -- bibliometrics -- scientometrics -- science mapping -- visualization; 纤维植物 -- 棉花 -- 科学信息 -- 文献计量学 -- 科学计量学 -- 科学制图 -- 可视化; Textile research -- Periodicals; Textile research; Periodicals; 677.005
• DOI: 10.1080/15440478.2019.1636742
• Languages: English
• ISSNs: 1544-0478

Abstract

ABSTRACT: This study wishes to assess publishing patterns in cotton research (Gossypium Spp.) with the methods of information science (bibliometrics, scientometrics, science mapping, visualization). Citation databases (information systems) Scopus, Web of Science (WOS) and Google Scholars are employed. Scopus Subject Areas and WOS Research Areas are summarized. Regarding countries, USA displays the highest counts of total records. In the last decade, the highest number of papers was published by authors from China. Visualizations (network and overlay) using program VOSviewer are conducted on WOS data in order to determine co-occurrence and clusters of connected publications, country input and author collaboration (co-authorship) as well as clusters of interrelated research topics (text data). Clustering of co-citing publications and text data (based on titles and abstracts) results in different well-defined clusters which show related research topics and average period of research. Visualizations conducted on large datasets (big data) offer exploratory information on the current state in a scientific field or discipline as well as indicate possible developments in the future.