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CyberGIS-Vis for Democratizing Access to Scalable Spatiotemporal Geovisual Analytics: A Case Study of COVID-19

(2024)10.1145/3681777.3698474Source: DataRank Database

CyberGIS-Vis for Democratizing Access to Scalable Spatiotemporal Geovisual Analytics: A Case Study of COVID-19 is a research paper (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.78)OA: goldTopics (13)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Joon-Seok Kim ORCID,Yuqin Jiang ORCID,Jeon‐Young Kang ORCID,Jin-Woo Park ORCID,Chaeyeon Han ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4404106136

National Science Foundation

Grant: 2118329

National Science Foundation

Grant: 2321070

National Institutes of Health

Grant: R01-AI147487

FWCI

0.78

Citation Percentile

0.8%

Citation Trend

2024

2025

goldLicense: cc-by-nc

https://dl.acm.org/doi/pdf/10.1145/3681777.3698474

HYBRIDhttps://dl.acm.org/doi/pdf/10.1145/3681777.3698474

https://dl.acm.org/doi/pdf/10.1145/3681777.3698474

publisherhttps://dl.acm.org/doi/10.1145/3681777.3698474

https://doi.org/10.1145/3681777.3698474

Fields of Study

Data Visualization and AnalyticsGeographic Information Systems StudiesData-Driven Disease SurveillanceComputer ScienceEnvironmental ScienceGeography

Keywords

AnalyticsCoronavirus disease 2019 (COVID-19)Computer scienceScalabilityData scienceDatabaseMedicine