🏆 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.

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

IEEE Transactions on Medical Imaging(2001)10.1109/42.906424Source: DataRank Database
Top 9%
17.7DataRank
17.7Top 9%
Open Access
7285 citations · base score 8.9
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 8%Network Component 92%

Base Score Contribution

1.3

From this paper's citation signal

Citation Network Contribution

16.4

From 185 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (3)

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