🏆 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.

High-Resolution Image Synthesis with Latent Diffusion Models

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2022)10.1109/cvpr52688.2022.01042Source: DataRank Database
Top 5%
14.5DataRank
14.5Top 5%
12725 citations · base score 9.5
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 10%Network Component 90%

Base Score Contribution

1.4

From this paper's citation signal

Citation Network Contribution

13.1

From 196 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (6)

Andreas Blattmann,Dominik Lorenz,Patrick EsserORCID,Bjorn Ommer,Björn OmmerORCID

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