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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universiti Utara Malaysia Press
2020
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| Online Access: | https://repo.uum.edu.my/id/eprint/27851/1/JICT%2019%204%202020%20583-622.pdf |
| _version_ | 1825805701261295616 |
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| 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 |
| collection | UUM |
| 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. |
| first_indexed | 2024-07-04T06:36:34Z |
| format | Article |
| id | uum-27851 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:36:34Z |
| publishDate | 2020 |
| publisher | Universiti Utara Malaysia Press |
| record_format | eprints |
| spelling | uum-278512020-11-09T00:28:54Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 |
| 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 |
| title | 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_short | A scientometric analysis of the emerging topics in general computer science |
| title_sort | scientometric analysis of the emerging topics in general computer science |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/27851/1/JICT%2019%204%202020%20583-622.pdf |
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