H-Index Weighting

A composite quantitative metric that evaluates the trustworthiness of a cited source by aggregating multiple signals. This score synthesizes factors including author expertise, domain authority, publication rigor, and historical accuracy into a single actionable value. Unlike the H-index, which focuses solely on an individual author's citation impact, the Source Credibility Score provides a holistic view of the entire publication context. It is a foundational input for any algorithmic trust system, enabling AI models to prioritize information from verified, high-integrity origins over unvetted or low-quality references.

An algorithmic assessment of a source's importance within a directed network of citations, conceptually analogous to PageRank. Authority is not merely a count of citations but is derived from the quality and influence of the citing entities. A citation from a highly-ranked, authoritative paper confers significantly more weight than one from an obscure source. This graph-based approach maps the interconnectedness of academic and technical literature, identifying seminal works and key researchers that form the backbone of a field. It provides a structural, network-level complement to the author-centric H-index.

A journal-level metric reflecting the yearly average number of citations to articles published in the last two years in a specific journal. It serves as a proxy for the relative importance and perceived prestige of a publication venue within its field. While the H-index measures an author's career impact, the Impact Factor assesses the container's quality. Using both in tandem provides a powerful two-dimensional view: a high H-index author publishing in a high Impact Factor journal represents a strong positive signal for citation integrity scoring.

A temporal decay function applied to a citation's authority score to ensure information freshness. This mechanism prioritizes recently published or updated sources, reflecting the reality that knowledge in fast-moving fields like AI and biotechnology can become obsolete quickly. The weight is calculated by applying a half-life or exponential decay to the source's base authority score (which may include H-index factors). A seminal paper from a high H-index author may retain significant weight, but a decades-old source without recent corroboration will be algorithmically down-weighted to prevent the propagation of outdated facts.

A positive weighting signal applied to citations originating from established, high-trust top-level domains and institutional repositories. Sources from .gov, .edu, and recognized organizations like IEEE or Nature receive an inherent credibility boost. This heuristic operates independently of author-level metrics like the H-index, providing a baseline trust floor. For example, a government whitepaper from an author with a low H-index may still be treated as highly authoritative due to the institutional rigor and review processes implied by its domain of origin.

A hierarchical categorization system that ranks sources into discrete tiers based on their editorial rigor, peer-review status, and institutional backing. A typical taxonomy includes:

• Tier 1: Primary research, peer-reviewed journals, official government data
• Tier 2: Established industry publications, academic books, reputable think tanks
• Tier 3: Professional blogs, conference proceedings without formal review
• Tier 4: Social media, self-published content, forums H-index Weighting is most relevant for Tier 1 and 2 sources, where author citation metrics are meaningful. For lower tiers, other signals like domain authority and factual entailment take precedence.