This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomalies, and patterns in bibliometric data through a combination of statistical modeling and exploratory data analysis.
data-science data-visualization data-analysis scopus r-language systematic-reviews anomaly-detection bibliometrics literature-review data-analysis-in-r report-generation regression-modeling pdf-analysis research-tools bibliometrix-package llm-integration trending-analysis reserach-
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Updated
Dec 27, 2024 - R