Scientometric Analysis of Natural Disaster Management Research
Bibliographic Data
| ID | 21738488 |
|---|---|
| Authors | Sahil Sahil (Guru Nanak Dev University, corresponding author), Sandeep K Sood (0000-0002-8196-5503, National Institute of Technology Kurukshetra) |
| Year | 2021 |
| Volume | 22 |
| Issue | 2 |
| Publication date | 2021-05-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Natural Hazards Review (JOURNAL) |
| Journal identifiers | ISSN: 1527-6988 • E-ISSN: 1527-6996 |
| Publisher | American Society of Civil Engineers (ASCE) (PUBLISHER • US) |
| DOI | 10.1061/(asce)nh.1527-6996.0000447 |
| OpenAlex | W3134634216 |
| Language | EN |
| Citations received | 6 |
| References cited | 35 |
Recent decades have witnessed the frequent occurrence of natural disasters and their destructive impacts, which have disrupted the social–economic balance and caused large-scale casualties in communities all over the world. This dramatic surge in natural disaster–related events has also impacted programs and research on disaster management in different countries around the world. Especially, recent years (2009–2019) have attracted huge scholarly attention in the natural disaster management (NDM) research domain, and subsequently, extensive research document production and high rate of received citations. These global trends have tended to examine the macrostructure of the evolution in the domain of NDM research, so global research patterns could be analyzed for grasping future research directive and improving research quality. Henceforth, this paper analyzes 4,912 natural disaster management–related research documents in Scopus, published during the period of 2009–2019 in a scientometric framework. This paper analyses the domain knowledge from the perspective of various disaster management subdomains and related research areas. First, the paper analyzes the publication distributions and citation patterns using various numerical indices, namely, publication numbers, productivity score, citations count, and normalized citation impact index (NCII) for descriptive statistical analyses (i.e., research growth progression, geographic distribution, subject-area distribution, author productivity, research following, journals’ influence, core literature, and authors’ influence). Second, the paper analyzes publication distribution, citation patterns, and keywords using network-based statistical approaches such as coauthorship networks for research collaborations, cocitation networks for intellectual landscaping, and co-occurrence networks for research frontiers. The presented study efficiently investigates the diversified perspectives of the NDM domain, and provides a multifacet avenue for roadmaps in the domain
Bibliometrics · Citation · Citation analysis · Data science · Economic growth · Economics · Emergency management · Environmental resource management · Geography · Library science · Natural disaster · Political science · Productivity · Regional science · Science Citation Index · Scientometrics · Scopus · Computer Science · Disaster Management and Resilience · Fire effects on ecosystems · Flood Risk Assessment and Management
Sustainable Development Goals (SDGs) as a Framework for Corporate Social Responsibility (CSR)
Barriers and facilitators to the participation of physical therapists in disaster response following natural hazard-driven sudden-onset disasters
Prepositioning and Multiperiod Distribution of Relief Supplies in Humanitarian Logistics
China’s Rural Comprehensive Disaster Reduction Policies (1949–2021)
Physical and psychological challenges faced by military, medical and public safety personnel relief workers supporting natural disaster operations
Evolution of customer relationship management to data mining-based customer relationship management
The Literature of Bibliometrics, Scientometrics, and Informetrics
State of the research in community resilience
Visualizing Bibliometric Networks
US billion-dollar weather and climate disasters
Co‐citation in the scientific literature
Mapping knowledge structure by keyword co-occurrence
A global bibliometric analysis of antiretroviral treatment adherence
Economic development and natural disasters
Software survey
| Citations per year | 1.5 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |