Knowledge Mapping Analysis of Rural Landscape Using CiteSpace

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 li...

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Bibliographic Details
Published in:Sustainability 2020-01, Vol.12 (1), p.66
Main Authors: Wu, Yunong, Wang, Huijie, Wang, Zhexiao, Zhang, Bin, Meyer, Burghard C.
Format: Article
Language:English
Subjects:
Bibliometrics
Biodiversity
Citation indexes
Cluster analysis
Clustering
Cocitation
Data collection
Keywords
Knowledge
Land use
Land use management
Landscape architecture
Mapping
Network analysis
Research methodology
Science
Social sciences
Software
Sustainability
Trends
Visualization
Citations: Items that this one cites
Items that cite this one
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su12010066