Biblio Infinity: AI-assisted bibliometric analysis and science mapping in the browser

Biblio Infinity is a free, MIT-licensed, browser-based bibliometric analysis and science-mapping tool. It imports Scopus CSV, Web of Science, PubMed, BibTeX, RIS and OpenAlex corpora and computes, entirely client-side: statistics dashboards (h/g-index, author impact, Bradford and Lotka laws), keyword co-occurrence, co-authorship, country, direct-citation, reference co-citation and bibliographic-coupling networks with association-strength normalization, Louvain clustering with modularity and silhouette, Brandes betweenness pivotal points, Kleinberg burst detection, RPYS, thematic strategic maps, three-fields plots, historiographs and world collaboration maps — with AI-assisted cluster naming and interpretation (aggregate data only; raw files never leave the browser), standard map/network file import/export, and publication-ready SVG/PNG figure and report export. Version 1.0 ships with an 82-check validation audit against networkx, python-louvain and textbook implementations, plus a sync guard proving the audited functions are byte-identical to the served code (see the validation package inside this archive and https://draistudio.com/biblioinfinity/about.html).