Cited by: automating citation counts for monographs using Google Scholar

Abstract

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.

Citation

Coughlin, D., Dudash, A. and Gordon, J. (2023), "Cited by: automating citation counts for monographs using Google Scholar", Library Hi Tech News, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHTN-10-2023-0188