August 23, 2025Deleted JournalOpen Access

Innovative methodological pillars for bibliometric studies: AI screening, data normalization and dual-tool analysis

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AI screening allows for faster and more consistent article inclusion decisions, improving efficiency in bibliometric studies.
Normalization of bibliometric data based on economic indicators leads to better cross-country research performance comparisons.
The dual-tool analysis using VOSviewer and Biblioshiny provides a more robust depiction of scientific knowledge structures.
This integrated framework advances bibliometric analysis methodologies, enhancing transparency and interpretability for researchers.

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This framework integrates AI screening and data normalization to improve bibliometric analysis, suggesting enhanced research insights.

Stefanis et al. (2025) studied this question.

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