Edge computing research: a bibliometric analysis and JEC Volume 3 Issue 2 (2024) highlights

This editorial presents a bibliometric analysis of edge computing research published in IEEE Access from 2018 to 2023, followed by an overview and discussion of the papers featured in the current issue of the Journal of Edge Computing (JEC), Volume 3, Issue 2 (2024). The IEEE Access analysis reveals key trends and themes in edge computing research, including IoT integration, AI and machine learning applications, resource management, wireless networks, and security concerns. The most cited authors, countries, and collaboration patterns are also identified. The JEC papers align well with these findings, addressing challenges and proposing novel solutions in areas such as IoT interoperability, plant disease detection using deep learning, wireless technologies in IoT projects, efficient operating systems, and adaptive IoT honeypot frameworks. The research in both IEEE Access and JEC demonstrates the rapid advancements and growing importance of edge computing in various domains.

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Institutions

Publication Details

Journal
Journal of Edge Computing
Published
2024-11-21
DOI
https://doi.org/10.55056/jec.853
Citations
2
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.70
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article

Edge computing research: a bibliometric analysis and JEC Volume 3 Issue 2 (2024) highlights

Tetiana А. Vakaliuk
2 citations
Journal of Edge Computing
IoT and Edge/Fog Computing
0.70
article

Edge computing research: a bibliometric analysis and JEC Volume 3 Issue 2 (2024) highlights

Tetiana А. Vakaliuk
article en
2 citations

Abstract

This editorial presents a bibliometric analysis of edge computing research published in IEEE Access from 2018 to 2023, followed by an overview and discussion of the papers featured in the current issue of the Journal of Edge Computing (JEC), Volume 3, Issue 2 (2024). The IEEE Access analysis reveals key trends and themes in edge computing research, including IoT integration, AI and machine learning applications, resource management, wireless networks, and security concerns. The most cited authors, countries, and collaboration patterns are also identified. The JEC papers align well with these findings, addressing challenges and proposing novel solutions in areas such as IoT interoperability, plant disease detection using deep learning, wireless technologies in IoT projects, efficient operating systems, and adaptive IoT honeypot frameworks. The research in both IEEE Access and JEC demonstrates the rapid advancements and growing importance of edge computing in various domains.

Journal of Edge ComputingVol. 3(2)
Zhytomyr Polytechnic State University (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
IoT and Edge/Fog Computing
0.70
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Edge computing research: a bibliometric analysis and JEC Volume 3 Issue 2 (2024) highlights — Tetiana А. Vakaliuk · Journal of Edge Computing (2024) | TGRS Research Map | TGRS