Biblium

A Python library for comparative bibliometric analysis

Bibliographic Data

ID21443506
AuthorsLan Umek (0000-0003-2730-2597, corresponding author)
Year2026
Volume131
Issue5
Pages3359-3377
Publication date2026-05-01
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-026-05636-8
OpenAlexW7160069119
LanguageEN
References cited21

This paper presents Biblium, a Python library for bibliometric and scientometric analysis that introduces a formal framework for comparative group analysis—a capability largely absent from existing bibliometric software. The library’s primary methodological contribution is the BiblioGroup framework, which enables researchers to (1) organize bibliographic datasets into user-defined, potentially overlapping subgroups, (2) perform association testing with standardized residuals to quantify how bibliometric entities distinguish between groups, (3) apply correspondence analysis for dimensionality reduction of group–entity relationships, and (4) classify documents into groups using multiple machine learning algorithms. These capabilities address a fundamental analytical question in comparative scientometrics: what statistically distinguishes one subset of publications from another? Biblium also provides a comprehensive analytical environment supporting six major bibliographic databases (Scopus, Web of Science, OpenAlex, PubMed, Dimensions, Lens.org), descriptive bibliometrics, network analysis, temporal dynamics, and a graphical user interface for researchers without programming expertise. Cross-library consistency testing against five established Python bibliometric libraries demonstrated agreement on all compared metrics. Biblium is openly available on GitHub and PyPI

Bibliometrics · Consistency (knowledge bases) · Dimensionality reduction · Python (programming language) · Complex Network Analysis Techniques · Data Analysis with R · scientometrics and bibliometrics research

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Open DOIOpen Access