A bibliometric review on serendipity literature available in Web of Science database using HistCite and Biblioshiny

Abstract

Purpose Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering. Design/methodology/approach This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined. Findings The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50. Originality/value To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.

Scientometrics of Religious Moderation (2009-2023): A Biblioshiny R Application

“…The data collection technique in this research uses the data mining method via the Scopus database which was accessed on October 5 2023 with a total of 78 documents related to the keyword "religious moderation". Meanwhile, the data analysis technique uses the help of the biblioshiny application to map metadata into conceptual maps (Chaudhari & Pawar, 2021;Ejaz et al, 2022;Thakuria et al, 2023). The data source for this research comes from the Scopus database which was updated on October 5 2023 with a total of 78 literature documents in metadata form consisting of four types of documents, namely 67 articles, 4 book chapters, 4 conference articles, and 3 reviews.…”