🏆 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.

Soft-NMS — Improving Object Detection with One Line of Code

2017 IEEE International Conference on Computer Vision (ICCV)(2017)10.1109/iccv.2017.593Source: DataRank Database
Top 19%
5.6DataRank
5.6Top 19%
Open Access
1675 citations · base score 7.4
datarank_citation_only_1hop_v4Methodology
Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
Open Access
IInteroperable
RReusable

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

DataRank Breakdown

Base Component 20%Network Component 80%

Base Score Contribution

1.1

From this paper's citation signal

Citation Network Contribution

4.5

From 77 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (4)

Bharat SinghORCID,Rama ChellappaORCID,Larry S. Davis,Navaneeth Bodla

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