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Overview of content related to 'bibliometrics'

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This page provides an overview of 2 articles related to 'bibliometrics', listing most recently updated content first. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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Bibliometrics is a set of methods to quantitatively analyze academic literature. Citation analysis and content analysis are commonly used bibliometric methods. While bibliometric methods are most often used in the field of library and information science, bibliometrics have wide applications in other areas. Many research fields use bibliometric methods to explore the impact of their field, the impact of a set of researchers, or the impact of a particular paper. (Excerpt from Wikipedia article: Bibliometrics)

Key statistics

Metadata related to 'bibliometrics' (as derived from all content tagged with this term):

  • Number of articles referring to 'bibliometrics': 9 (0.5% of published articles)
  • Total references to 'bibliometrics' across all Ariadne articles: 21
  • Average number of references to 'bibliometrics' per Ariadne article: 2.33
  • Earliest Ariadne article referring to 'bibliometrics': 1996-03
  • Trending factor of 'bibliometrics': 0 (see FAQs on monitoring of trends)

See our 'bibliometrics' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'bibliometrics' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'bibliometrics':

  1. michael day (see articles on this topic by this author)
  2. charles oppenheim (see articles on this topic by this author)
  3. isobel stark (see articles on this topic by this author)
  4. andrew cox (see articles on this topic by this author)
  5. barbara sen (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

Book Review: Information Science in Transition

Michael Day reviews an edited volume published to commemorate the founding of the Institute of Information Scientists in 1958.

April 2010, issue63, review

Book Review: Annual Review of Information Science and Technology, Volume 36

Michael Day takes a detailed look at the structure and content of this hardy annual.

July 2003, issue36, review

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by Dr. Radut