Emerging Research Trends In Computer Science: A Bibliometric Analysis

This study explores emerging research areas in Computer Science through bibliometric analysis using data retrieved from the Scopus database. A systematic search was conducted using a predefined query, initially yielding 6,300 documents, which were refined based on publication year (2015–2025), subject area (Computer Science), document type (journal articles), language (English), and Open Access availability, resulting in 447 articles. The analysis was conducted by using the generated bibliometric maps, including term co-occurrence, and co-authorship networks. The results highlight key emerging research trends, including advancements in artificial intelligence, machine learning, cloud computing, Internet of Things (IoT), cybersecurity, and quantum computing. Additionally, global collaboration patterns reveal leading research contributors and potential areas for international cooperation. The findings provide valuable insights into the future directions of Computer Science research, offering strategic opportunities for institutions like Arusha Technical College to contribute to and benefit from these advancements.

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Publication Details

Journal
Global Journal of Pure and Applied Science
Published
2025-02-07
DOI
https://doi.org/10.4314/gjpas.v31i1.5
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

Emerging Research Trends In Computer Science: A Bibliometric Analysis

Japhet Kaijage Kashaija, Jane Lissah
2 citations
Global Journal of Pure and Applied Science
Online Learning and Analytics
3.39
article

Emerging Research Trends In Computer Science: A Bibliometric Analysis

Japhet Kaijage Kashaija, Jane Lissah
article en
2 citations

Abstract

This study explores emerging research areas in Computer Science through bibliometric analysis using data retrieved from the Scopus database. A systematic search was conducted using a predefined query, initially yielding 6,300 documents, which were refined based on publication year (2015–2025), subject area (Computer Science), document type (journal articles), language (English), and Open Access availability, resulting in 447 articles. The analysis was conducted by using the generated bibliometric maps, including term co-occurrence, and co-authorship networks. The results highlight key emerging research trends, including advancements in artificial intelligence, machine learning, cloud computing, Internet of Things (IoT), cybersecurity, and quantum computing. Additionally, global collaboration patterns reveal leading research contributors and potential areas for international cooperation. The findings provide valuable insights into the future directions of Computer Science research, offering strategic opportunities for institutions like Arusha Technical College to contribute to and benefit from these advancements.

Global Journal of Pure and Applied ScienceVol. 31(1)
Openalex Percentile: Top 8%
Online Learning and Analytics
3.39
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