A New Metric for the Analysis of the Scientific Article Citation Network

IEEE Access

Frederick Kin Hing Phoa¹  Junji Nakano²  Livia Lin-Hsuan Chang³ 

[1] Academia Sinica, Institute of Statistical Science, Taipei, Taiwan;Department of Global Management, Chuo University, Tokyo, Japan;Department of Statistical Science, SOKENDAI (The Graduate University for Advanced Studies), Tokyo, Japan;

关键词: Article Network Influence;    bibliometrics;    citation analysis;    Web of Science;   

DOI  :  10.1109/ACCESS.2019.2937220

来源: DOAJ

【 摘 要 】

Citation plays an important role in the bibliometrics analysis since the introduction of the impact factors, but traditional measures mainly focused on the direct citations between articles. In this work, we introduce a new metric, namely Article Network Influence (ANI), to measure the influence of an article by using broader citation relationships quantitatively. We prepare our article citation networks from one of the largest citation databases called the Web of Science, and we demonstrate the use of ANI on the analysis of these networks in the statistics research community. These analyses appear in the top-20 influential articles in statistics within every 11 years during 1981-2016. We consider differences between the new metric and several traditional measures, including the impact factor, PageRank, and Field-Weighted Citation Impact (FWCI).

【 授权许可】

Unknown