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Predicting the impacts of epidemic outbreaks on global supply chains

A simulation-based analysis on the coronavirus outbreak (Covid-19/Sars-CoV-2) case

Bibliographic Data

ID23314630
AuthorsDmitry Ivanov (0000-0002-5573-4402, Berlin School of Economics and Law, corresponding author)
Year2020
Volume136
Pages101922
Publication date2020-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTransportation Research Part E: Logistics and Transportation Review (JOURNAL)
Journal identifiersISSN: 1366-5545 • E-ISSN: 1878-5794
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.tre.2020.101922
PMID32288597
OpenAlexW3013474995
LanguageEN
Citations received86
References cited65

Biology · Business · Coronavirus · Coronavirus disease 2019 (COVID-19) · Disease · Geography · Infectious disease (medical specialty) · Operations research · Outbreak · Pandemic · Risk analysis (engineering) · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Supply chain · Upstream (networking) · Computer Science · Engineering · Environmental Science · Medicine · Quality and Supply Management · Supply Chain Resilience and Risk Management · Sustainable Supply Chain Management · Virology

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Unique citing works86
Citations per year14,33
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 74

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