A study of scientometric methods to identify emerging technologies via modeling of milestones

Robert K. Abercrombie (), Akaninyene W. Udoeyop () and Bob G. Schlicher ()
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Robert K. Abercrombie: Computational Sciences and Engineering
Akaninyene W. Udoeyop: Cisco Systems, Advanced Security Initiatives Group
Bob G. Schlicher: Computational Sciences and Engineering

Scientometrics, 2012, vol. 91, issue 2, No 3, 327-342

Abstract: Abstract This work examines a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, patents, news archives, and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain we investigated.

Keywords: Knowledge exchange; Emerging technologies identification; Technology life cycle modeling; Scholarly publications and citations; Patents; News archives; On-line mapping networks; Normalization of disparate data sets (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (12)

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DOI: 10.1007/s11192-011-0614-4

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