Artificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis

dc.contributor.authorAlisa Kongthon
dc.contributor.authorPornchai Supnithi
dc.date.accessioned2026-05-08T19:21:17Z
dc.date.issued2024-8-4
dc.description.abstractIonospheric irregularities such as equatorial plasma bubbles (EPBs) in low-latitude regions often lead to disruptions in trans-ionospheric radio systems, navigation systems and satellite communications. Understanding and monitoring equatorial plasma bubbles is important for improving the reliability of communication and navigation systems. Recently, artificial intelligence (AI) has been applied to a wide variety of satellite communication aspects including ionospheric irregularities detection. This paper aims to apply bibliometric analysis on research publications related to AI applications in ionospheric irregularities. Such analysis can help researchers understand the evolving trends in AI and its diverse sub-fields, guiding future research directions. In addition, researchers can use the results of bibliometric analysis to benchmark their own work against the broader research landscape, identifying areas where their contributions can have the most impact.
dc.identifier.doi10.23919/picmet64035.2024.10653119
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17959
dc.subjectIonosphere and magnetosphere dynamics
dc.subjectGeomagnetism and Paleomagnetism Studies
dc.subjectSpace Satellite Systems and Control
dc.titleArtificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis
dc.typeArticle

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