Journal of Air Transport Management

Papers
(The H4-Index of Journal of Air Transport Management is 30. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
COVID-19 pandemic and prospects for recovery of the global aviation industry228
COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane173
Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19113
Post pandemic aviation market recovery: Experience and lessons from China108
A Linear Programming approach for robust network revenue management in the airline industry91
Ready for digital transformation? The effect of organisational readiness, innovation, airport size and ownership on digital change at airports57
An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry54
Changes in airport operating procedures and implications for airport strategies post-COVID-1949
Airport capacity management: A review and bibliometric analysis49
The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective48
The impact of COVID-19 on airline passenger travel behavior: An exploratory analysis on the Chinese aviation market48
Pandemics and environmental shocks: What aviation managers should learn from COVID-19 for long-term planning48
A bibliometric analysis of airport service quality45
Impact of COVID-19 on air transport passenger markets: Examining evidence from the Chinese market45
Predicting demand for air taxi urban aviation services using machine learning algorithms39
An exploratory empirical analysis of willingness to hire and pay for flying taxis and shared flying car services39
Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea38
Efficiency evaluation of Brazilian airlines operations considering the Covid-19 outbreak37
Predicting airline passengers’ loyalty using artificial neural network theory36
Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports36
Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation34
The impact of the COVID-19 pandemic on current tertiary aviation education and future careers: Students’ perspective34
Using causal machine learning for predicting the risk of flight delays in air transportation34
Where does flygskam come from? The role of citizens’ lack of knowledge of the environmental impact of air transport in explaining the development of flight shame34
Determinants of blockchain adoption in the aviation industry: Empirical evidence from Korea31
Comparative accessibility of Chinese airports and high-speed railway stations: A high-resolution, yet scalable framework based on open data31
A qualitative analysis of social and emotional perspectives of airline passengers during the COVID-19 pandemic30
Applying deep learning models to twitter data to detect airport service quality30
Building an assessment model for measuring airport resilience30
Dynamic relationship between air transport, economic growth and inbound tourism in Cambodia, Laos, Myanmar and Vietnam30
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