Methodology
DataRank v4.0 Citation-Only 1-Hop Model
DataRank now uses a citation-only 1-hop approximation. FAIR/DataCite/repository metadata remain visible for context and auditing, but do not affect score computation.
v4.0 β Citation-Only 1-Hop DataRank
CurrentMarch 2026
Core equations
Seed base score B(p) uses only the paper's citation count. Network score N(p)uses only citer citation counts and reference outdegree, with self-citations removed by OpenAlex author-ID overlap.
Scoring scope
- Active runtime damping:
DATARANK_DAMPING(default0.85) SSCORE_CITATION_BOOSTis accepted for backward env compatibility but is no-op- FAIR/DataCite/file/download/OA signals are retained in API/UI as metadata only (non-scoring)
- Canonical API fields are emitted with legacy aliases mapped to the same numeric values
Strengths
- +Simple and auditable: score depends only on citation counts and graph structure
- +Stable interpretation across sources: no metadata-weight tuning in scoring
- +1-hop model is fast enough for live DOI streaming
Limitations
- -Depends on citation coverage and latency in external indexes
- -1-hop approximation omits multi-hop citation propagation
- -Scores remain corpus-relative for percentile ranking
Percentile Ranking
Papers are sorted by DataRank and mapped into equal quintiles (S1βS5). Percentiles and quintiles are recomputed on each full corpus backfill.
Researcher Score
Each researcher's score is the mean of their top 10 paper DataRank scores within the indexed corpus. This directly reflects the quality of an author's highest-impact work in the database.
Where p1, p2, β¦, pk are the author's papers sorted by DataRank descending.
Scope
- -Author scores reflect only papers indexed in this database, not the author's full publication record
- -Co-authors on the same paper currently receive the same paper-level DataRank contribution
- -Click on any author to see which papers contributed to their score
Computation Audit
Each run is logged to datarank_snapshotswith algorithm version (current: datarank_citation_only_1hop_v4), damping factor, corpus size, and score distribution.
See it in action
Search any DOI and get a DataRank score, percentile tier, and base-vs-network breakdown in seconds.