Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.
Focal Loss for Dense Object Detection
2017 IEEE International Conference on Computer Vision (ICCV)(2017)10.1109/iccv.2017.324Source: DataRank Database
Top 2%
19.4Top 2%
25041 citations · base score 10.1
datarank_citation_only_1hop_v4Methodology
›Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
IInteroperable
RReusable
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Component 8%Network Component 92%
Base Score Contribution
1.5
From this paper's citation signal
Citation Network Contribution
17.8
From 197 citing papers with measurable signal