Bibliometric analysis of distributed generation

Wei Lee Woon, Hatem Zeineldin, Stuart Madnick

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


This paper presents an application of term frequency (TF) as a means of identifying useful trends from text documents. Of particular interest is the relationship between publication patterns, as characterized by TF, and the underlying technological developments. To demonstrate the usefulness of our approach, a case study on distributed generation (DG) was conducted. Important sub-domains of DG research were identified and the associated TF values were extracted using relevant keywords. The evolution of these values through time helps to highlight key trends in the development of DG-related technologies.

Original languageBritish English
Pages (from-to)408-420
Number of pages13
JournalTechnological Forecasting and Social Change
Issue number3
StatePublished - Mar 2011


  • Bibliometrics
  • Distributed generation
  • Technology mining


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