Emergence Detection in Bibliometrics
Emergence detection in bibliometrics is a family of text-mining and bibliometric methods for spotting emerging research topics and technologies early, by analysing the dynamics of terms, citations, and references in publication streams. It combines burst-detection algorithms that flag sudden surges in usage with operational criteria for what makes a topic genuinely 'emerging', turning large scholarly corpora into early signals of scientific and technological change.
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Sources
- Kleinberg, J. (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373-397. DOI: 10.1023/A:1024940629314 ↗
- Rotolo, D., Hicks, D., & Martin, B. R. (2015). What is an emerging technology? Research Policy, 44(10), 1827-1843. DOI: 10.1016/j.respol.2015.06.006 ↗
How to cite this page
ScholarGate. (2026, June 22). Emergence Detection in Bibliometrics (Emerging Topic / Burst Detection). ScholarGate. https://scholargate.app/en/science-technology-studies/emergence-detection-bibliometrics
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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- Co-word AnalysisScientometrics↔ compare
- Science MappingBibliometrics↔ compare
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