Bibliometric Analysis of ‘Bibliotherapy’ in the Digital Environment: Based on JSTOR Scholarly Publications

Abstract

Bibliometric analysis makes a significant contribution to directing researchers to more effective studies even before they start reading. It also allows them to quickly discover research gaps in the field, inspire new ideas for research, reveal research trends and map the research field for conceptual, social, or cognitive purposes. Accordingly, the main objective of this article is to provide an analysis of publications on bibliotherapy in JSTOR from 2010 to 2020. The bibliometric analysis method was used as the research method for this study. Data were collected using a standardized search approach through JSTOR using the keyword "bibliotherapy". A total of 906 books, book chapters and journal articles on bibliotherapy have been published across the world during the relevant period. The retrieved data set was analyzed with the text-mining facility of JSTOR. The findings of the study will be important for researchers to conduct more effective studies of bibliotherapy and library professionals to support their clients.