Trends and Typology of Emerging Antenna Propagation Technologies: Citation Network Analysis

Abstract

The detection of emerging technologies is vital for R&D managers and policymakers; hence, the bibliometric approach to analyzing papers and patents was developed. In this study, we proposed a new method, the research classification schema (RCS). We used citation network analysis to classify technologies into four categories: change-maker, breakthrough, matured, and incremental. Each technology is then plotted on the RCS based on its publication profile. A case study in the field of antennas was undertaken to evaluate the relevance and effectiveness of the RCS. The RCS method demonstrates the usefulness of the identification process of promising technologies, and therefore, the convenience of target designing research projects in universities and companies. We also discussed the effect of the resolution limit of clustering algorithms on the RCS to improve reliability.

Study on Horizon Scanning with a Focus on the Development of AI-Based Medical Products: Citation Network Analysis

“…Another possible bias, as mentioned [ 81 ], is that researchers mainly check and cite papers written in their native language or journals they contribute to, or that they tend to search and cite papers using the same terminology and not others, even when the technological meaning is the same.…”

Study on horizon-scanning with a focus on the development of AI-based medical products: citation network analysis

“…Another possible bias, as mentioned by Takano et al (2017) 70 , is that researchers mainly check and cite papers written in their native language or journals they contribute to, or that they tend to search and cite papers using the same terminology and not others — even when the technological meaning is the same.…”

‘State-of-the-art’ of ‘state-of-the-art’: Extracting science-social issues interface

“…Clusters were divided into minimum scale of sub-clusters with sizes around several tens or hundreds [14] ((2) in Table 1). These sub-clusters were then mapped into an academic landscape [15][16][17], which helped visualize the relationship between technologies. Sub-clusters separated from main network or sub-clusters with the sizes are too small to be research field were removed as noise by checking their research focus((3) in Table 1).…”