Knowledge Mapping Analysis of Rural Landscape Using CiteSpace

• Published in: Sustainability Vol. 12; no. 1; p. 66
• Main Authors: Wu, Yunong, Wang, Huijie, Wang, Zhexiao, Zhang, Bin, Meyer, Burghard C.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2020
• Subjects: Bibliometrics; Citation indexes; Cluster analysis; Clustering; Cocitation; Data collection; Keywords; Knowledge; Landscape architecture; Research methodology; Science; Social sciences; Software; Sustainability; Trends; Visualization
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su12010066

This study visualizes and quantifies extant publications of rural landscape research (RLR) in Web of Science using CiteSpace for a wide range of research topics, from a multi-angle analysis of the overall research profile, while providing a method and approach for quantitative analysis of massive literature data. First, it presents the number of papers published, subject distribution, author network, the fundamental condition of countries, and research organizations involved in RLR through network analysis. Second, it identifies the high-frequency and high betweenness-centrality values of the basic research content of RLR through keyword co-occurrence analysis and keyword time zones. Finally, it identifies research fronts and trending topics of RLR in the decade from 2009 to 2018 by using co-citation clustering, and noun-term burst detection. The results show that basic research content involves protection, management, biodiversity, and land use. Five clearer research frontier pathways and top 20 research trending topics are extracted to show diversified research branch development. All this provides the reader with a general preliminary grasp of RLR, showing that cooperation and analysis involving multiple disciplines, specialties, and angles will become a dominant trend in the field.