A survey of Chinese Interpreting Studies: Who influences who ... and why?

نویسندگان

  • Ziyun Xu
  • Leonid B. Pekelis
چکیده

This paper describes how scholars in Chinese Interpreting Studies (CIS) interact with each other and form discrete circles of influence. It also discusses what it means to be an influential scholar in the community, and the relationship between an author’s choice of research topic and his academic influence. The study examines an all-but-exhaustive collection of 59,303 citations from 1,289 MA theses, 32 doctoral dissertations and 2,909 research papers, combining traditional citation analysis with the newer Social Network Analysis to paint a panorama of CIS. It concludes that the community cannot be broadly divided into Liberal Arts and Empirical Science camps; rather, it comprises several distinct communities with various defining features. The analysis also reveals that the top Western influencers have an array of academic backgrounds and research interests across many different disciplines, whereas their Chinese counterparts are predominantly focused on Interpreting Studies. Last but not least, there is found to be a positive correlation between choosing non-mainstream research topics and having a high level of academic influence in the community. Subjects Data Mining, Machine Learning, Data Science, Digital Libraries, Social Computing

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عنوان ژورنال:
  • PeerJ PrePrints

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2015