A review of definitions and measures of system resilience

By Seyedmohsen Hosseini, Kash Barker, Jose Emmanuel Ramirez-Marquez. Reliability Engineering & System Safety, 2016

1,643 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Radiological and Ultrasound Technology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/49f08a3a467a3ce97f08bee8bfd9700dee870863

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. J. Jasiūnas
2. Peter D. Lund
3. Dmitry A. Ivanov
4. Guangtao Fu
5. Jani Mikkola

In Radiological and Ultrasound Technology

1. J. Jasiūnas
2. Peter D. Lund
3. Dmitry A. Ivanov
4. Jani Mikkola

In Statistics and Probability

1. J. Jasiūnas
2. Peter D. Lund
3. Dmitry A. Ivanov
4. Guangtao Fu
5. Hai Yang
6. Matjaz Perc
7. Jani Mikkola

Citations in the corpus

• Energy system resilience – A review (2021, methodology): “Likewise, the ultimate measure of energy systems is their impact on everyday life [51].”
• Resilience of Transportation Systems: Concepts and Comprehensive Review (2019, background): “[8] presented a review on resilience in”
• Impact on Electricity Consumption and Market Pricing of Energy and Ancillary Services during Pandemic of COVID-19 in Italy (2020, background): “Resilience definitions and frameworks have been proposed in different disciplines and applied in a variety of case studies worldwide [7].”
• Water-energy-food nexus: Concepts, questions and methodologies (2018, background): “322 Resilience refers to the ability of a system maintain and recover its essential 323 functions during and after an external shock or disturbance (Hosseini et al., 2016).”
• Statistical physics of vaccination (2016, background): “Along the above definition, may real-world social and engineering systems, such as online social networks [232, 359–365], airport traffic networks [358, 366, 367], biological metabolic networks [368, 369], and scientific collaboration and citation networks [370], can be put into the framework of mul”
• Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020, background): “We note that our discussion relates to SC resilience and viability, and not related to the resilience and viability in general, since the understandings differ across the disciplines [e.g., engineering, information, ecology, and medical sciences (Hosseini et al. 2016; Linkov and Kott 2019)].”