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A scientometric analysis of the emerging topics in general computer science

Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing article citations for continuous content indexing in the databas...

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Main Authors: Katuk, Norliza, Ku-Mahamud, Ku Ruhana, Zakaria, Nur Haryani, Jabbar, Ayad Mohammed
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2020
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/27851/1/JICT%2019%204%202020%20583-622.pdf
http://repo.uum.edu.my/27851/
http://www.jict.uum.edu.my/index.php/previous-issues/173-journal-of-information-and-communication-technology-jict-vol-19-no-4-october-2020#a6
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spelling my.uum.repo.278512020-11-09T00:28:54Z http://repo.uum.edu.my/27851/ A scientometric analysis of the emerging topics in general computer science Katuk, Norliza Ku-Mahamud, Ku Ruhana Zakaria, Nur Haryani Jabbar, Ayad Mohammed QA75 Electronic computers. Computer science Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing article citations for continuous content indexing in the databases. With this aim in hand, this study intended to assist the editorial team of the Journal of Information and Communication Technology (JICT) in increasing the performance and impact of the journal. Currently, the journal has suffered from low citation count, which may jeopardise its sustainability. Past studies in library science suggested a positive correlation between keywords and citations. Therefore, keyword and topic analyses could be a solution to address the issue of journal citation. This article described a scientometric analysis of emerging topics in general computer science, the Scopus subject area for which JICT is indexed. This study extracted bibliometric data of the top 10% journals in the subject area to create a dataset of 5,546 articles. The results of the study suggested ten emerging topics in computer science that can be considered by the journal editorial team in selecting articles and a list of highly used keywords in articles published in 2019 and 2020 (as of 15 April 2020). The outcome of this study might be considered by the JICT editorial team and other journals in general computer science that suffer from a similar issue. Universiti Utara Malaysia Press 2020 Article PeerReviewed application/pdf en http://repo.uum.edu.my/27851/1/JICT%2019%204%202020%20583-622.pdf Katuk, Norliza and Ku-Mahamud, Ku Ruhana and Zakaria, Nur Haryani and Jabbar, Ayad Mohammed (2020) A scientometric analysis of the emerging topics in general computer science. Journal of Information and Communication Technology, 19 (4). pp. 583-622. ISSN 2180-3862 http://www.jict.uum.edu.my/index.php/previous-issues/173-journal-of-information-and-communication-technology-jict-vol-19-no-4-october-2020#a6
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Katuk, Norliza
Ku-Mahamud, Ku Ruhana
Zakaria, Nur Haryani
Jabbar, Ayad Mohammed
A scientometric analysis of the emerging topics in general computer science
description Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing article citations for continuous content indexing in the databases. With this aim in hand, this study intended to assist the editorial team of the Journal of Information and Communication Technology (JICT) in increasing the performance and impact of the journal. Currently, the journal has suffered from low citation count, which may jeopardise its sustainability. Past studies in library science suggested a positive correlation between keywords and citations. Therefore, keyword and topic analyses could be a solution to address the issue of journal citation. This article described a scientometric analysis of emerging topics in general computer science, the Scopus subject area for which JICT is indexed. This study extracted bibliometric data of the top 10% journals in the subject area to create a dataset of 5,546 articles. The results of the study suggested ten emerging topics in computer science that can be considered by the journal editorial team in selecting articles and a list of highly used keywords in articles published in 2019 and 2020 (as of 15 April 2020). The outcome of this study might be considered by the JICT editorial team and other journals in general computer science that suffer from a similar issue.
format Article
author Katuk, Norliza
Ku-Mahamud, Ku Ruhana
Zakaria, Nur Haryani
Jabbar, Ayad Mohammed
author_facet Katuk, Norliza
Ku-Mahamud, Ku Ruhana
Zakaria, Nur Haryani
Jabbar, Ayad Mohammed
author_sort Katuk, Norliza
title A scientometric analysis of the emerging topics in general computer science
title_short A scientometric analysis of the emerging topics in general computer science
title_full A scientometric analysis of the emerging topics in general computer science
title_fullStr A scientometric analysis of the emerging topics in general computer science
title_full_unstemmed A scientometric analysis of the emerging topics in general computer science
title_sort scientometric analysis of the emerging topics in general computer science
publisher Universiti Utara Malaysia Press
publishDate 2020
url http://repo.uum.edu.my/27851/1/JICT%2019%204%202020%20583-622.pdf
http://repo.uum.edu.my/27851/
http://www.jict.uum.edu.my/index.php/previous-issues/173-journal-of-information-and-communication-technology-jict-vol-19-no-4-october-2020#a6
_version_ 1684655808569147392
score 13.211869

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