Artificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis

Ionospheric 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.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.23919/picmet64035.2024.10653119
Citations
1
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.33

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article

Artificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis

Alisa Kongthon, Pornchai Supnithi
1 citations
Ionosphere and magnetosphere dynamics
0.33
article

Artificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis

Alisa Kongthon, Pornchai Supnithi
article en
1 citations

Abstract

Ionospheric 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.

King Mongkut's University of Technology Thonburi (TH), King Mongkut's Institute of Technology Ladkrabang (TH)
National Institute of Information and Communications Technology
Openalex Percentile: Top 35%
Ionosphere and magnetosphere dynamics
0.33
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Artificial Intelligence Applications in Ionospheric Irregularities: A Bibliometric Analysis — Alisa Kongthon, Pornchai Supnithi · (2024) | TGRS Research Map | TGRS