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Knowledge Mapping Analysis of Rural Landscape Using CiteSpace

This study visualizes and quantifies extant publications of rural landscape research (RLR)
inWeb 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.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:84665
Date11 April 2023
CreatorsWu, Yunong, Wang, Huijie, Wang, Zhexiao, Zhang, Bin, Meyer, Burghard C.
PublisherMDPI
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation2071-1050, 66

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