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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
UUM Press
2020-08-01
|
| Series: | Journal of ICT |
| Subjects: | |
| Online Access: | http://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.4.6 |
| _version_ | 1811190359160520704 |
|---|---|
| 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 |
| collection | DOAJ |
| 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 | 2024-04-11T14:49:48Z |
| format | Article |
| id | doaj.art-00a48d5fc69740cb9047350517e0514f |
| institution | Directory Open Access Journal |
| issn | 1675-414X 2180-3862 |
| language | English |
| last_indexed | 2024-04-11T14:49:48Z |
| publishDate | 2020-08-01 |
| publisher | UUM Press |
| record_format | Article |
| series | Journal of ICT |
| spelling | doaj.art-00a48d5fc69740cb9047350517e0514f2022-12-22T04:17:32ZengUUM PressJournal of ICT1675-414X2180-38622020-08-0119458362210.32890/jict2020.19.4.6A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCENorliza Katuk0Ku Ruhana Ku-Mahamud1Nur Haryani Zakaria2Ayad Mohammed Jabbar3Universiti Utara MalaysiaSchool of Computing, Universiti Utara Malaysia, MalaysiaSchool of Computing, Universiti Utara Malaysia, MalaysiaCollege of Arts and Sciences, Shatt Al-Arab University, IraqCitations 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.http://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.4.6scientometricsscientometric analysisbibliometricscitation analysisresearch trends |
| spellingShingle | Norliza Katuk Ku Ruhana Ku-Mahamud Nur Haryani Zakaria Ayad Mohammed Jabbar A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE Journal of ICT scientometrics scientometric analysis bibliometrics citation analysis research trends |
| 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 | scientometrics scientometric analysis bibliometrics citation analysis research trends |
| url | http://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.4.6 |
| 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 |