🏆 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.

FaceNet: A unified embedding for face recognition and clustering

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2015)10.1109/cvpr.2015.7298682Source: DataRank Database
Top 4%
18.6DataRank
18.6Top 4%
Open Access
11024 citations · base score 9.3
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

1.4

From this paper's citation signal

Citation Network Contribution

17.2

From 200 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (3)

Dmitry Kalenichenko,James Philbin,Florian Schroff

Related Papers