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.
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
IEEE Transactions on Evolutionary Computation(2014)10.1109/tevc.2013.2281535Source: DataRank Database
Top 11%
15.8Top 11%
6591 citations · base score 8.8
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
1.3
From this paper's citation signal
Citation Network Contribution
14.5
From 187 citing papers with measurable signal
Authors (2)
Himanshu JainORCID,Kalyanmoy DebORCID