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Optimization methods for the imputation of missing values in Educational Institutions Data

MethodsX(2021)10.1016/j.mex.2020.101208Source: DataRank Database

Optimization methods for the imputation of missing values in Educational Institutions Data is a research paper published in MethodsX (2021). On theSindex it has a DataRank of 0.243. It has been cited 3 times, with 2 citing works in its 1-hop citation network.

N/A

0.243DataRank · unranked

Scored on demand from live citation data

3 citations · 2 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.21)OA: goldTopics (22)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 86%Citation Network 14%

Base Score Contribution

0.208

From this paper's citation signal

Citation Network Contribution

0.0352

From 1 citing papers with measurable signal

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Top 2 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 2 citers.

Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms
MethodsX202412 citations62 referencesContributes 0.041
Reconstructing Missing Well-Log Data with LightGBM and BiRNN in Oil Fields
20250 citations33 referencesContributes 0.000

Authors (3)

R. Bruni,Cinzia Daraio ORCID,D. Aureli

Live enrichment

PubMed:34434731 PMC:PMC8374211 OpenAlex:https://openalex.org/W3119637569

H2020 European Research Council

Grant: 824091

European Research Infrastructure for Science, technology and Innovation policy Studies 2

Horizon 2020

FWCI

0.21

Citation Percentile

0.5%

Citation Trend

2020

2024

2025

goldLicense: cc-by

journalhttps://www.sciencedirect.com/science/article/pii/S2215016120304283/pdf

publisherhttps://www.sciencedirect.com/science/article/pii/S2215016120304283/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2215016120304283?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2215016120304283?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.mex.2020.101208

Fields of Study

Statistical Methods and InferenceBayesian Modeling and Causal InferenceData Mining Algorithms and Applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Imputation (statistics)Missing dataSmoothingComputer scienceMultivariate statisticsData miningStatisticsMathematicsMachine learningData ImputationEducational InstitutionsInformation ReconstructionInterconnected DataScienceQData imputation; Educational Institutions; Information Reconstruction; Interconnected data; Machine learning; Trend Smoothing Imputation and Donor ImputationMethod Article

Sustainable Development Goals

SDG 4: 4. Education