ISSN 1003-8035 CN 11-2852/P

    基于CiteSpace的浅层滑坡文献计量分析

    Metrological analyses on literatures of shallow landslides using CiteSpace software

    • 摘要: 基于Web of Science数据库,以1999—2019年检索所得1240篇浅层滑坡期刊论文为样本,利用CiteSpace对该领域内国家/机构、学科/期刊和高频关键词进行文献计量和可视化分析,结果表明:浅层滑坡研究的国际合作非常普遍,意大利在浅层滑坡研究中占据核心地位,意大利国家研究委员和中国科学院两家机构在该领域发挥重要作用,GEOMORPHOLOGYLANDSLIDES杂志为浅层滑坡研究代表性期刊。复合模型算法为浅层滑坡研究领域近期的热点主题。

       

      Abstract: Based on Web of Science database, 1240 papers retrieved from journals of shallow landslides from 1999-2019 were taken as samples, and CiteSpace was used to conduct bibliometric and visual analysis on the national / institutional, discipline / journal and high-frequency keywords in this field. The results show that: international cooperation in shallow landslides research is very common, and Italy occupies the core position in shallow landslides research. Both Italy National Research Council and Chinese Academy of Sciences play an important role in this field. GEOMORPHOLOGY and LANDSLIDES are representative journals of shallow landslide research. Hybrid model is the hot topic in the field of shallow landslide research.

       

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