🏆 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.

Very Deep Convolutional Networks for Large-Scale Image Recognition

arXiv (Cornell University)(2014)10.48550/arxiv.1409.1556Source: DataRank Database
Top 1%
24.0DataRank
24.0Top 1%
Open Access
75407 citations · base score 11.2
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 7%Network Component 93%

Base Score Contribution

1.7

From this paper's citation signal

Citation Network Contribution

22.4

From 199 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (2)

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