Co-Inertia Analysis in Neutrosophic Spaces: An Exploratory Bibliometric Study

This study explores the intersection between co-inertia analysis and neutrosophic spaces through a bibliometric analysis of 259 scientific articles indexed in Scopus (1994–2025). Employing PRISMA methodology and the bibliometrix software (version 5.2.0), the temporal evolution, intellectual structure, and collaboration networks in both fields are examined. Results reveal sustained growth in scientific production since 2010, primarily concentrated in France (71 articles, 27.4% of the corpus). Stéphane Dray emerges as the most influential author with 7252 citations, while Bioinformatics leads in impact (6863 citations across 6 articles). Keyword analysis positions ‘multivariate analysis’ as the central term, articulating three clusters: ecology, multivariate statistics, and genomics. However, explicit integration between co-inertia analysis and neutrosophic theory remains incipient, located in the emerging topics zone with low centrality and density. The thematic map identifies consolidated applications in ecology (macroinvertebrates, functional traits) and development opportunities in data integration under high uncertainty. This work establishes a conceptual foundation for future research on the coupling of multivariate methods with neutrosophic frameworks in contexts of heterogeneous information and indeterminacy.