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.