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A Bibliometric Model for Identifying Emerging Research Topics
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.). Danish Centre for Studies in Research & Research Policy, Aarhus University, Denmark.
2018 (English)In: Journal of the Association for Information Science and Technology, ISSN 2330-1635, E-ISSN 2330-1643, Vol. 69, no 2, p. 290-304Article in journal (Refereed) Published
Abstract [en]

Detecting emerging research topics is essential, not only for research agencies but also for individual researchers. Previous studies have created various bibliographic indicators for the identification of emerging research topics. However, as indicated by Rotolo et al. (Research Policy 44, 1827-1843, ), the most serious problems are the lack of an acknowledged definition of emergence and incomplete elaboration of the linkages between the definitions that are used and the indicators that are created. With these issues in mind, this study first adjusts the definition of an emerging technology that Rotolo et al. (2015) have proposed to accommodate the analysis. Next, a set of criteria for the identification of emerging topics is proposed according to the adjusted definition and attributes of emergence. Using two sets of parameter values, several emerging research topics are identified. Finally, evaluation tests are conducted by demonstration of the proposed approach and comparison with previous studies. The strength of the present methodology lies in the fact that it is fully transparent, straightforward, and flexible.

Place, publisher, year, edition, pages
WILEY , 2018. Vol. 69, no 2, p. 290-304
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-221924DOI: 10.1002/asi.23930ISI: 000419516900009OAI: oai:DiVA.org:kth-221924DiVA, id: diva2:1178989
Note

QC 20180131

Available from: 2018-01-31 Created: 2018-01-31 Last updated: 2018-01-31Bibliographically approved

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