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All Journal (JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING
Limbong, Nur Hidayah
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Education Mathematics Other

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Automatic Processing of Bibliometric Data: Newest Literature Analysis Algorithms Limbong, Nur Hidayah; Yahfizham
(JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Vol. 7 No. 4 (2024): VOLUME 7 NUMBER 4, DECEMBER 2024
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jiml.v7i4.21479

Abstract

Automated processing of bibliometric data has become an integral element in understanding and measuring the impact of scientific research as well as trends in the academic literature. The purpose of this study was to evaluate and compare current literature analysis algorithms to identify advances in automated processing of bibliometric data. This study explores the use of the latest algorithms in literature analysis which includes identification of research themes, research network analysis, citation impact evaluation, and development of literature recommendation algorithms. This research exposes innovative applications that utilize the latest technologies in text processing and data analysis to assist researchers, libraries, and information professionals in revealing deep insights from the latest scientific literature. The results of this study illustrate that the automated processing of bibliometric data with the latest algorithms paves the way for a deeper understanding of the development of scientific research, its impact in the scientific community as well as improving bibliometric analysis methods and tools by integrating the latest algorithms, so that scientific research and trends can be identified more accurately and relevantly. The study could use more sophisticated multifaceted techniques to analyze simple productivity measures based on article citations. This research is also able to recognize and describe the development of new science and technology.
Co-Authors Yahfizham