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.
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2019)10.1109/cvpr.2019.00075Source: DataRank Database
Top 15%
13.5Top 15%
Open Access
4741 citations · base score 8.5
datarank_citation_only_1hop_v4Methodology
›Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
Open Access
IInteroperable
RReusable
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Component 9%Network Component 91%
Base Score Contribution
1.3
From this paper's citation signal
Citation Network Contribution
12.2
From 200 citing papers with measurable signal