Bibliometric networks and analytics on gerontology research

Chien wen Shen, Duong Tuan Nguyen, Po Yu Hsu

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Purpose: The purpose of this paper is to bibliometrically analyze the gerontology-related research articles for a comprehensive understanding of the gerontology literature. Design/methodology/approach: This study employed the approach of visual analytics on 32 journals with a total of 99,204 articles published after 2000 to identify the main subfields, keywords, and growth trend. The investigated journals are either open access online or listed in the Social Sciences Citation Index. In addition, the 200 most frequently cited papers were analyzed through bibliographic coupling, co-word, and co-citation analysis. Findings: The selected most cited papers were mostly published before 2007, and psychiatry and psychology were the top research subfields. Dementia, older adult, and Alzheimer’s disease were the three most frequently occurring keywords, both in Author Keywords and KeyWords Plus. While coupling analysis yielded 12 research groups, co-word analysis classified the most frequently used 20 Author Keywords into two categories. Four research clusters were identified by the co-citation analysis. Originality/value: This research provides a comprehensive view of the gerontology research as well as an understanding of the subfields and their interrelations. It also provides government departments with directions for formulating and executing policies affecting older people not only in setting academic and professional priorities but also in understanding the key topics related to older people.

Original languageEnglish
Pages (from-to)88-100
Number of pages13
JournalLibrary Hi Tech
Issue number1
StatePublished - 7 Mar 2019


  • Bibliometric analysis
  • Co-citation analysis
  • Co-word analysis
  • Elderly
  • Gerontology
  • Network analysis


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