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Analysis of the ‘dynamics of railway vehicles’ research field development using scientometric approach
Vehicle System Dynamics ( IF 3.6 ) Pub Date : 2021-06-28 , DOI: 10.1080/00423114.2021.1922715
Anna Orlova 1 , Tamila Titova 2
Affiliation  

The paper demonstrates the possibilities of a scientometric approach using CiteSpace II software analysis of the field of railway dynamics with detection of research front, main clusters of cross-cited papers, their evolution and pivotal points (see terms in Sections 2.1 and 2.2). The initial database contained 5126 Web Of Science records published between 1975 and 2019 (45 years). The linguistic analysis determined the evolution of burst terms and grouped the papers in 14 clusters that corresponded with the view of the specialists in the field. ‘Railway vehicle’, ‘Curved track’ (hunting stability and derailment risk), ‘Unconventional railway truck’, ‘Railway turnout (crossing)’ and ‘Polygonal wear’ clusters were analysed in more detail with a determination of top-cited papers in each cluster and papers that determined connections between clusters (pivotal papers). Two pivotal papers were verified with their authors.



中文翻译:

使用科学计量学方法分析“铁路车辆动力学”研究领域的发展

该论文展示了使用 CiteSpace II 软件分析铁路动力学领域的科学计量方法的可能性,检测研究前沿、交叉引用论文的主要集群、它们的演变和关键点(参见第 2.1 和 2.2 节中的术语)。最初的数据库包含 5126 条发表于 1975 年至 2019 年(45 年)之间的 Web Of Science 记录。语言分析确定了突发术语的演变,并将论文分为 14 个与该领域专家的观点相对应的集群。‘铁路车辆’、‘曲线轨道’(狩猎稳定性和脱轨风险)、‘非常规铁路卡车’、对“铁路道岔(交叉)”和“多边形磨损”聚类进行了更详细的分析,确定了每个聚类中引用最多的论文和确定聚类之间连接的论文(关键论文)。两篇关键论文得到了作者的验证。

更新日期:2021-06-28
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