/**
 * profile-metrics — corpus-local influence/centrality metrics (#1501).
 *
 * Port of profiles/compute_metrics.py: per-paper CD-index + PageRank, and
 * per-PROF-P h-index / mean-CD / mean-PageRank + co-author centrality
 * (betweenness/eigenvector/clustering) + influence grade. Reuses corpus-graph
 * algorithms and the #1497 parser.
 *
 * @source historical: profiles/compute_metrics.py
 */
export interface PaperMetric {
    refId: string;
    cdIndex: number | null;
    pageRank: number;
}
export interface PersonMetric {
    profId: string;
    name: string;
    paperCount: number;
    hIndex: number;
    meanCdIndex: number | null;
    meanPageRank: number;
    betweenness: number;
    eigenvector: number;
    clustering: number;
    gradeInfluence: string;
}
export interface CorpusMetrics {
    papers: PaperMetric[];
    people: PersonMetric[];
}
/** Compute paper-level + person-level metrics across the corpus. */
export declare function computeMetrics(corpusRoot: string): CorpusMetrics;
/** Render person-level metrics as a markdown table (or `--papers` for paper-level). */
export declare function renderMetrics(m: CorpusMetrics, mode?: 'people' | 'papers'): string;
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