Knowledge Extraction as an Emerging Discipline: A Bibliographic Analysis

This study aims to conduct a bibliometric analysis of knowledge extraction to examine its grassroots and interdisciplinary interactions based on papers in the Scopus database between 1980 and 2022. The study uses Biblimetrix, performance analysis, and science mapping techniques using 307 articles extracted from the Scopus database. The study used Biblimetrix (R package) and VOSviewer as a tool to carry out the performance analysis and science mapping analysis. The results show that the number of publications has significantly increased in the past decade, 1.53% of authors contribute at least a single article, and 98.46% of authors published multi-authored. China, the USA, and Japan were the most prolific countries in terms of the total number of citations and foreign collaborations. Expert Systems with Applications and the Journal of Knowledge Management are the top journals for knowledge extraction; Advances in Intelligent Systems and Computing (book series), and Lecture Notes in Computer Science are the top conference proceedings series in this field. Implications of knowledge extraction as an emerging discipline have been discussed based on the evidence and trends. The bibliometrics analysis can be helpful for professionals, scholars, and academics interested in bibliometric studies. it also provides essential information for making decisions on the vitality of disciplines.