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
Oct 17, 2024 - R