Citation Cliques in Low Impact Journals

2026-05-12

AI Summary

This study investigates whether low-impact journals exhibit denser and more reciprocal author citation patterns and the resulting distortions in bibliometric indicators. Leveraging Crossref data, journals are stratified by discipline-normalized Eigenfactor percentiles to distinguish low-impact (Case) from high-impact (Control) groups, with author-matching controls employed to compare citation network structures. The analysis reveals that low-impact journals form insular “citation economies,” manifesting a pronounced bifurcation into “two worlds.” It further identifies 277 high-purity anomalous citation clusters characterized by core–periphery topologies. Findings indicate that authors in low-impact journals display 6.7 times higher mutual citation rates, 4.7 times greater reciprocity, and an 11-fold increase in citation clique strength, confirming the presence of directed citation flows rather than equitable mutual referencing.

Abstract

This exploratory study examines how low-impact journals, defined through subject-normalized Eigenfactor percentiles, are associated with denser and more reciprocating patterns of author-to-author citations. Using Crossref records, we assign journals to broad subject areas, compute subject-specific Eigenfactor scores, propagate venue quality to works and authors, match authors in low- (Case) versus high-influence (Control) venues by subject and h5, and analyze citation edges for cohesion and anomalies. Across a 10% sample of 9,431 matched pairs, authors in low-impact venues exhibit significantly higher cohesion: 6.7x higher co-author citation rates and 4.7x higher reciprocity in the aggregate Case-Control comparison. A subject-aware hybrid detection pipeline flags 277 outliers with 93.5% Case purity; these outliers display an 11x clique-strength lift relative to non-outliers, revealing a stark "Two Worlds" segregation (r = 0.71) where low-impact venues operate as closed citation economies. The largest detected component (n = 23) displays a hub-and-spoke topology in which peripheral "Sycophants" funnel citations to central "Beneficiaries" through coordinated bursts, confirming a directed flow imbalance rather than reciprocal exchange among equals. Overall, cohesion, rather than broad asymmetry, accounts for the main Case-Control differences, suggesting that low-impact venues foster segregated, inward-looking citation economies that distort bibliometric indicators.

Problem

• citation cliques
• low-impact journals
• Eigenfactor
• citation reciprocity
• bibliometric distortion

Innovation

• citation cliques
• Eigenfactor normalization
• hybrid anomaly detection
• citation reciprocity
• closed citation economies