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Anticipating human resilience and vulnerability on the path to 2030

What can we learn from Covid-19

Bibliographic Data

ID9842460
AuthorsStefano Armenia (0000-0002-0777-4004, Link Campus University, corresponding author), Steven Arquitt (0000-0002-5228-9008, Millennium Engineering and Integration (United States)), Matteo Pedercini (0000-0002-5452-9116, Millennium Engineering and Integration (United States)), Alessandro Pompei (0000-0001-7481-0979, Sapienza University of Rome)
Year2022
Volume139
Pages102936
Publication date2022-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFutures (JOURNAL)
Journal identifiersISSN: 0016-3287 • E-ISSN: 1873-6378
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.futures.2022.102936
PMID35382386
OpenAlexW4220773948
LanguageEN
Citations received5
References cited46

Business · Computer security · Coronavirus disease 2019 (COVID-19 · Economics · Environmental resource management · Face (sociological concept · Management science · Pandemic · Perspective (graphical · Political science · Psychological resilience · Resilience (materials science · Risk analysis (engineering · Social science · Sociology · Vulnerability (computing · Artificial Intelligence · Complex Systems and Decision Making · Computer Science · COVID-19 epidemiological studies · Ecosystem dynamics and resilience · Medicine · Psychology · Social Psychology

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  • Abrupt climate change

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Unique citing works5
Citations per year1,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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Open DOIOpen Access
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