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

Yasutomo Takano, Yuya Kajikawa () and Makoto Ando ()
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Yasutomo Takano: Department of Innovation, Graduate School of Innovation Management, Tokyo Institute of Technology, Campus Innovation Center 805N, 3-3-6 Shibaura, Minato-ku, Tokyo 108-0023, Japan
Yuya Kajikawa: Department of Innovation, Graduate School of Innovation Management, Tokyo Institute of Technology, Campus Innovation Center 805N, 3-3-6 Shibaura, Minato-ku, Tokyo 108-0023, Japan
Makoto Ando: Department of Electrical and Electronic Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1-S3-19 O-Okayama, Meguro-ku, Tokyo 152-8552, Japan

International Journal of Innovation and Technology Management (IJITM), 2017, vol. 14, issue 01, 1-19

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.

Keywords: Citation analysis; antenna; emerging research fronts (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0219877017400053

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