🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
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.

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2014 IEEE Conference on Computer Vision and Pattern Recognition(2014)10.1109/cvpr.2014.81Source: DataRank Database
Top 1%
21.0DataRank
21.0Top 1%
31492 citations · base score 10.4
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 7%Network Component 93%

Base Score Contribution

1.6

From this paper's citation signal

Citation Network Contribution

19.4

From 177 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (4)

Jeff Donahue,Trevor DarrellORCID,Jitendra MalikORCID,Ross Girshick

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