To read this content please select one of the options below:

A bibliometric analysis of Library Review trends

Kenneth Cosh (Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand)
Sakgasit Ramingwong (Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand)
Lachana Ramingwong (Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand)

Global Knowledge, Memory and Communication

ISSN: 2514-9342

Article publication date: 25 October 2022

148

Abstract

Purpose

This paper aims to identify and understand changing research themes within this field and apply a novel technique for text mining.

Design/methodology/approach

Statistical text mining methods are applied as an approach to bibliographic analysis to nearly 30 years of papers published in Library Review and Global Knowledge, Memory and Communication to identify key research themes and analyse how they have evolved over this period.

Findings

Key stable research themes include students, literacy, learning, research, while emerging research themes include social media, networking and knowledge sharing through information and communication technology.

Originality/value

A novel approach to bibliometric analysis is applied to a large collection of texts published in the library field.

Keywords

Citation

Cosh, K., Ramingwong, S. and Ramingwong, L. (2022), "A bibliometric analysis of Library Review trends", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-06-2022-0149

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles