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.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2017)10.1109/cvpr.2017.16Source: DataRank Database
Top 12%
18.2Top 12%
9702 citations · base score 9.2
datarank_citation_only_1hop_v4Methodology
›Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
IInteroperable
RReusable
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Component 8%Network Component 92%
Base Score Contribution
1.4
From this paper's citation signal
Citation Network Contribution
16.8
From 197 citing papers with measurable signal