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 database...

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Autores principales:	Norliza Katuk, Ku Ruhana Ku-Mahamud, Nur Haryani Zakaria, Ayad Mohammed Jabbar
Formato:	article
Lenguaje:	EN
Publicado:	UUM Press 2020
Materias:	scientometrics scientometric analysis bibliometrics citation analysis research trends Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/00a48d5fc69740cb9047350517e0514f
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spelling	oai:doaj.org-article:00a48d5fc69740cb9047350517e0514f2021-11-15T07:24:43ZA SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE10.32890/jict2020.19.4.61675-414X2180-3862https://doaj.org/article/00a48d5fc69740cb9047350517e0514f2020-08-01T00:00:00Zhttp://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.4.6https://doaj.org/toc/1675-414Xhttps://doaj.org/toc/2180-3862Citations 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. Norliza KatukKu Ruhana Ku-MahamudNur Haryani ZakariaAyad Mohammed JabbarUUM Pressarticlescientometricsscientometric analysisbibliometricscitation analysisresearch trendsInformation technologyT58.5-58.64ENJournal of ICT, Vol 19, Iss 4, Pp 583-622 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	scientometrics scientometric analysis bibliometrics citation analysis research trends Information technology T58.5-58.64
spellingShingle	scientometrics scientometric analysis bibliometrics citation analysis research trends Information technology T58.5-58.64 Norliza Katuk Ku Ruhana Ku-Mahamud Nur Haryani Zakaria Ayad Mohammed Jabbar 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	Norliza Katuk Ku Ruhana Ku-Mahamud Nur Haryani Zakaria Ayad Mohammed Jabbar
author_facet	Norliza Katuk Ku Ruhana Ku-Mahamud Nur Haryani Zakaria Ayad Mohammed Jabbar
author_sort	Norliza Katuk
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	UUM Press
publishDate	2020
url	https://doaj.org/article/00a48d5fc69740cb9047350517e0514f
work_keys_str_mv	AT norlizakatuk ascientometricanalysisoftheemergingtopicsingeneralcomputerscience AT kuruhanakumahamud ascientometricanalysisoftheemergingtopicsingeneralcomputerscience AT nurharyanizakaria ascientometricanalysisoftheemergingtopicsingeneralcomputerscience AT ayadmohammedjabbar ascientometricanalysisoftheemergingtopicsingeneralcomputerscience AT norlizakatuk scientometricanalysisoftheemergingtopicsingeneralcomputerscience AT kuruhanakumahamud scientometricanalysisoftheemergingtopicsingeneralcomputerscience AT nurharyanizakaria scientometricanalysisoftheemergingtopicsingeneralcomputerscience AT ayadmohammedjabbar scientometricanalysisoftheemergingtopicsingeneralcomputerscience
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A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE

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