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A ten-year retrospective (2014-2024): Bibliometric insights into the study of internet of things in engineering education

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 15 No. 4 (2025)

DOI
10.11591/ijece.v15i4.pp4213-4226
ISSN
2722-2578, 2088-8708
Published
2025-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This article presents a comprehensive ten-year retrospective analysis (2014-2024) of the evolving landscape of internet of things (IoT) studies within engineering education, employing bibliometric insights. The pervasive influence of IoT technologies across diverse domains, including education, underscores the significance of examining its trajectory in engineering education research over the past decade. Recognizing the dynamic nature of this intersection is crucial for educators, researchers, and policymakers to adapt educational strategies to IoT-induced technological shifts. Addressing this imperative, the study conducts a detailed bibliometric review to identify gaps, trends, and areas necessitating further exploration. Methodologically, the study follows a framework involving a comprehensive search of Scopus and Web of Science databases to identify relevant articles. Selected articles undergo bibliometric analysis using the Biblioshiny tool, supplemented by manual verification and additional analysis in Excel. This approach facilitates robust evaluation of citation patterns, co-authorship networks, keyword trends, and publication patterns over the specified timeframe. Anticipated outcomes include the identification of seminal works, key contributors, influential journals, and science mapping. The study aims to unveil emerging themes, track research trends, and provide insights into collaborative networks shaping IoT discourse in engineering education. This analysis offers a roadmap for future research directions, guiding educators and researchers toward fruitful avenues of exploration.

Collaboration network of the authors

21 authors · 71 co-authorship links · 8 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Teknologi MARA
  • International University of Sarajevo
  • Universiti Malaysia Pahang Al-Sultan Abdullah
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mohd Nasir TaibUniversiti Teknologi MARA9
Noratikah Zawani MahabobUniversiti Teknologi MARA4
Aqib Fawwaz Mohd AmidonUniversiti Teknologi MARA4
Saiful Nizam TajuddinAffiliation unknown4
Ali Abd AlmisrebInternational University of Sarajevo4
Erny Haslina Abd LatibUniversiti Malaysia Pahang Al-Sultan Abdullah2
Saiful Nizam TajuddinAffiliation unknown2
Jasmin JamilAffiliation unknown2
Siti Mariatul Hazwa Mohd HuzirUniversiti Teknologi MARA2
Noor Aida Syakira Ahmad SabriUniversiti Teknologi MARA2
Nik Fasha Edora Nik KamaruzamanUniversiti Teknologi MARA2
Hasnain AbdullahUniversiti Teknologi MARA1
Azizah Hanom AhmadUniversiti Teknologi MARA1
Ahmad Ihsan Mohd YassinUniversiti Teknologi MARA1
Linda Mohd KasimUniversiti Teknologi MARA1
Norhayati Mohamad NoorUniversiti Teknologi MARA1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>A ten-year retrospective (2014-2024): Bibliometric insights into the study of internet of things in engineering education</dc:title><dc:creator>Yusoff, Zakiah Mohd</dc:creator><dc:creator>Nordin, Siti Aminah</dc:creator><dc:creator>Othman, Norhalida</dc:creator><dc:creator>Bakar, Zahari Abu</dc:creator><dc:creator>Ismail, Nurlaila</dc:creator><dc:description>&lt;jats:p&gt;This article presents a comprehensive ten-year retrospective analysis (2014-2024) of the evolving landscape of internet of things (IoT) studies within engineering education, employing bibliometric insights. The pervasive influence of IoT technologies across diverse domains, including education, underscores the significance of examining its trajectory in engineering education research over the past decade. Recognizing the dynamic nature of this intersection is crucial for educators, researchers, and policymakers to adapt educational strategies to IoT-induced technological shifts. Addressing this imperative, the study conducts a detailed bibliometric review to identify gaps, trends, and areas necessitating further exploration. Methodologically, the study follows a framework involving a comprehensive search of Scopus and Web of Science databases to identify relevant articles. Selected articles undergo bibliometric analysis using the Biblioshiny tool, supplemented by manual verification and additional analysis in Excel. This approach facilitates robust evaluation of citation patterns, co-authorship networks, keyword trends, and publication patterns over the specified timeframe. Anticipated outcomes include the identification of seminal works, key contributors, influential journals, and science mapping. The study aims to unveil emerging themes, track research trends, and provide insights into collaborative networks shaping IoT discourse in engineering education. This analysis offers a roadmap for future research directions, guiding educators and researchers toward fruitful avenues of exploration.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2025-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v15i4.pp4213-4226</dc:identifier><dc:identifier>10.11591/ijece.v15i4.pp4213-4226</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 15 No 4 (2025); 4213</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/36467/18378</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>