Cited by: automating citation counts for monographs using Google Scholar

Research output: Contribution to journalArticlepeer-review


Purpose: The purpose of this paper is to investigate the feasibility of automating Google Scholar searching to harvest citation data of monographs for collection analysis. Design/methodology/approach: This study discusses the creation and refinement of a Scraper application programming interface query structure created to match library collection inventories to their Google Scholar listings to retrieve citation counts. Findings: This paper indicates that Google Scholar is a feasible and usable tool for retrieving monograph citation data. Originality/value: This study shows that Google Scholar citation data can be harvested for monographs in an automated fashion to serve as a source of bibliographic data, something not typically done outside of individual academics and writers tracking their personal academic impact factors.

Original languageEnglish (US)
JournalLibrary Hi Tech News
StateAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Library and Information Sciences

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