2018
DOI: 10.3390/ijgi7030120
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A Co-Citation and Cluster Analysis of Scientometrics of Geographic Information Ontology

Abstract: Geographic information ontology represents an effective means of expressing geographic concepts and relationships between them. As an emerging field of study, it has drawn the attention of increasing numbers of scholars worldwide. In this study, both co-citation and cluster analysis methods of scientometrics are used to perform a comprehensive analysis of the papers on the topic of geographic information ontology indexed by the Web of Science (WoS) and published between 2001 and 2016. The results show that the… Show more

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Cited by 11 publications
(6 citation statements)
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“…Then, country collaboration and institution network analysis was employed to individuate existing relationships and cooperations among different institutions and countries (Liu, Li, Shen, Yang, & Luo, 2018). Besides producing a cluster view, CiteSpace software can also generate a timeline view.…”
Section: Discussionmentioning
confidence: 99%
“…Then, country collaboration and institution network analysis was employed to individuate existing relationships and cooperations among different institutions and countries (Liu, Li, Shen, Yang, & Luo, 2018). Besides producing a cluster view, CiteSpace software can also generate a timeline view.…”
Section: Discussionmentioning
confidence: 99%
“…The co-occurrence network analysis is based on a mixed method of clustering and network mapping built for data set mining and the selection of keywords (Okoro, 2023). The clustering technique enables highlighting gaps and key findings and keyword ranking to characterise the research directions and frontiers (Liu et al , 2018). Additionally, the distance-based approach indicated the nodes’ relatedness; the smaller the distance, the higher their relatedness (Van Eck and Waltman, 2014).…”
Section: Methodsmentioning
confidence: 99%
“…Different clusters helped identify groups of journals with shared intellectual interests and contributions by analyzing the frequency of their works being cited together by other publications of different journals. The Blue density area is the largest cluster, which shows out of 297 journals, the majority belong to the blue cluster, which showed that they have been frequently co-cited together and share thematic similarities in their research [53], and green's density area is the smallest, which shows the frequency of co-citation of journals was minimal. The figure shows "Journal of Cleaner Production" in the largest font which depicts that it has been co-cited the most (1,84,954 link strength) with other journals (296 links), followed by "Sustainability" with a co-citation frequency of 1,35,210 and links 296, and "Sustainable Development" with 53,262 co-citation frequencies and 296 links.…”
Section: Top Influential Journalsmentioning
confidence: 98%