An attempt to identify technologically relevant papers based on their references
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An attempt to identify technologically relevant papers based on their references Yasuhiro Yamashita1 Received: 15 December 2019 © The Author(s) 2020
Abstract In this study, two indicators derived from references in papers were proposed to characterize the papers regarding technological relevance: (1) the number of reference papers that obtained citations from patents by the time of observation, i.e., the publication years of papers to be assessed (NR-PCP), and (2) the number of reference papers authored by the firms’ researchers (NR-FP). Next, the two indicators were applied to papers published in 2001 to assess their performance. The results obtained by the two indicators were evaluated by citations from patents until 2016 in various conditions: scientific field, institutional sector, and period of measurement. Results showed a robustness of both indicators in many conditions. NR-PCP showed better results in most cases than NR-FP, although its recall was inferior to NR-FP for papers in which all references were newer than 1996. Based on the result that NR-PCP was preferred as an indicator, the rationale of using reference papers cited in the patent by the period of observation (R-PCP) as an indicator was considered based on the papers’ potential distances from the border between science and technology, which was obtained from an extended version of the citation network originally proposed by Ahmadpoor and Jones (Science 357:583–587, 2017. https://doi.org/10.1126/ science.aam9527). Finally, issues to be addressed were discussed. Keywords Patent-paper citations · References · Indicator · Technological relevance
Introduction Today, information on the latest research output is essential in the research planning and formulation of science, technology, and innovation strategies. For example, the European Union’s Future Emerging Technology program tried to utilize bibliographic coupling clustering of the newest papers in its horizon scanning activity (Warnke et al. 2016). Actually, they could not utilize the result of the activity because of the huge computation time; they utilized instead the Research Fronts database provided by Clarivate Analytics, which contained various indicators of co-citation clusters of the recent * Yasuhiro Yamashita [email protected] 1
Japan Science and Technology Agency, Science Plaza, 5‑3, Yonbancho, Chiyoda‑ku, Tokyo 102‑8666, Japan
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Scientometrics
6 years’ highly cited papers (Clarivate Analytics refers to them as “research fronts”). The author’s organization (Japan Science and Technology Agency) also introduced the Research Fronts and Hot Papers provided by Clarivate Analytics, consisting of recently published papers that obtained the top 0.1 percent of citations during the last two months, to find emerging research topics. On the other hand, scientific research has been expected to be a driving forth of innovation. For example, the 5th Japanese Science and Technology Basic Plan for FY 2016–2020 listed four pillars: (1) acting to create new va
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