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Disciplinary knowledge production and diffusion in science
Journal article   Open access

Disciplinary knowledge production and diffusion in science

Erjia Yan
Journal of the Association for Information Science and Technology, v 67(9), pp 2223-2245
Sep 2016
DOI: https://doi.org/10.1002/asi.23541
url
http://hdl.handle.net/10.1002/asi.23541View
SubmittedOpen Access (License Unspecified),  Open

Abstract

informetrics
This study examines patterns of dynamic disciplinary knowledge production and diffusion. It uses a citation data set of Scopus‐indexed journals and proceedings. The journal‐level citation data set is aggregated into 27 subject areas and these subjects are selected as the unit of analysis. A 3‐step approach is employed: the first step examines disciplines' citation characteristics through scientific trading dimensions; the second step analyzes citation flows between pairs of disciplines; and the third step uses egocentric citation networks to assess individual disciplines' citation flow diversity through Shannon entropy. The results show that measured by scientific impact, the subjects of Chemical Engineering, Energy, and Environmental Science have the fastest growth. Furthermore, most subjects are carrying out more diversified knowledge trading practices by importing higher volumes of knowledge from a greater number of subjects. The study also finds that the growth rates of disciplinary citations align with the growth rates of global research and development (R&D) expenditures, thus providing evidence to support the impact of R&D expenditures on knowledge production.

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44 citations in Web of Science
52 citations in Scopus

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Web of Science research areas
Computer Science, Information Systems
Information Science & Library Science
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