International Journal of Information Security: A Bibliometric Study, 2007-2023

Abstract

Abstract This study employs various bibliometric analysis techniques to examine the intellectual structure of the International Journal of Information Security from 2007 to 2023. The aim is to identify the most cited journals, underlying research themes within the article corpus, and gradual changes in the research themes over time. “Lecture Notes on Computer Science” is the most referenced knowledge source. In addition, articles on the theme of encryption techniques received the highest average citations, followed by key management and authentication protocols. Moreover, machine learning, blockchain, and the Internet of Things are emerging topics of interest among published authors in the International Journal of Information Security. Qualitative and quantitative comparisons between open-access and regular articles suggested a few notable differences in author keywords but no differences in the number of citations received. Furthermore, regression analysis found a negative correlation between citation counts with the length of the article abstract and article title and a positive correlation with page count, being published in a special issue, and if at least the affiliation of one of the authors is different from others. Finally, we also identified prominent authors, articles, institutions, and countries published in this journal.