ArticleJournal of air transport management2020
What can we learn from the JATM literature for the future of aviation post Covid-19? - A bibliometric and visualization analysis.
Article in Journal of air transport management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 95 citations in OpenAlex.
- Article
- Trends and emerging research directions of sustainable aviation: A bibliometric analysis.Heliyon · 2024Review
- Article
- An empirical analysis of American Passenger's willingness to fly in commercial airplanes after vaccination against COVID-19.Technology in society · 2023Article
- Analysis of Factors Affecting the Sustainable Success of Airlines During the COVID-19 Pandemic.Transportation research record · 2023Article
- Evaluating the Impact of the Pandemic Crisis on the Aviation Industry.Transportation research record · 2023Article
- Trends in Research about COVID-19 Vaccine Documented through Bibliometric and Visualization Analysis.Healthcare (Basel, Switzerland) · 2022Article
- Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance.Journal of air transport management · 2022Article
- The impact of the COVID-19 pandemic on O-D flow and airport networks in the origin country and in Northeast Asia.Journal of air transport management · 2022Article
- Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea.Journal of air transport management · 2022Article
- The effect of aviation responses to the control of imported COVID-19 cases.Journal of air transport management · 2021Article
- The impact of COVID-19 on airline passenger travel behavior: An exploratory analysis on the Chinese aviation market.Journal of air transport management · 2021Article
- Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis.Sustainable cities and society · 2021Article
- Impact of COVID-19 on air transport passenger markets: Examining evidence from the Chinese market.Journal of air transport management · 2021Article
- The impact of the COVID-19 pandemic on current tertiary aviation education and future careers: Students' perspective.Journal of air transport management · 2021Article
- A qualitative analysis of social and emotional perspectives of airline passengers during the COVID-19 pandemic.Journal of air transport management · 2021Article
- COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane.Journal of air transport management · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper aims to draw lessons from retrospectively evaluating the evolution of the air transport discipline right up to the COVID-19 outbreak through the
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.