How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite

Xin Li, Qiang Yao, Xuli Tang (), Qian Li and Mengjia Wu
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Xin Li: Wuhan University
Qiang Yao: Wuhan University
Xuli Tang: Wuhan University
Qian Li: Peking University
Mengjia Wu: University of Technology Sydney

Scientometrics, 2020, vol. 125, issue 2, No 25, 1253-1274

Abstract: Abstract This paper aimed to provide an approach to investigate the historical roots and evolution of research fields in China by extending the reference spectroscopy year spectroscopy (RPYS). RootCite, an open source software accepts raw data from both the Web of Science and the China Social Science Citation Index (CSSCI), was developed using python. We took iMetrics in China as the research case. 5141 Chinese iMetrics related publications with 73 376 non-distinct cited references (CR) collected from the CSSCI were analyzed using RootCite. The results showed that the first CR in the field can be dated back to 1882 and written in English; but the majority (64.2%) of the CR in the field were Chinese publications. 17 peaks referring to 18 seminal works (13 in English and 5 in Chinese) were located during the period from 1900 to 2017. The field shared the same roots with that in the English world (e.g., Lotka’s law and Garfield’s “Citation Indexes”) but has its own characteristics, and it was then shaped by contributions from both the English world (e.g., Small’s “Co-citation” and Callon et al.’s “Co-word analysis”) and China (e.g., Qiu’s “Bibliometrics” and Su’s “CSSCI”). The three Chinese works have played irreplaceable and positive roles in the historical evolutionary path of the field, which should not be ignored, especially for the evolution of the field. This research demonstrated how RootCite aided the task of identifying the origin and evolution of research fields in China, which could be valuable for extending RPYS for countries with other languages.

Keywords: iMetrics in China; Reference publication year spectroscopy; RPYS; RootCite; Algorithm historiography; China Social Science Index (CSSCI) (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11192-020-03659-3

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