Data Analytics of the Scopus 2025 Dataset: Trends in Open Access, Publisher Influence, and Subject Area Distribution
DOI:
https://doi.org/10.58429/pgjsrt.v4n1a213Keywords:
Scopus, Journal Indexing, Open Access, Academic Publishing, ASJC Classification, Discontinued Journals, ISSN, Big Data AnalyticsAbstract
This study performs an extensive analysis of the Scopus Sources Dataset
(February 2025 edition) using big data analytics and visualization
techniques. Through systematic preprocessing, exploratory data
analysis, and graphical interpretation, we investigate the structure of
global scientific publishing. Key insights include the distribution of
journals by source type, publisher dominance in both Open Access (OA)
and Non-OA domains, ISSN/EISSN patterns, and ASJC field classification
frequencies. Results show strong clustering in specific publishers and
fields, a moderate OA presence, and a considerable share of journals
with dual ISSN registration. Our findings provide a comprehensive
snapshot of the scholarly publishing landscape as captured in Scopus
2025.
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