Academic Journal
Bibliometric Analysis of Publication in the Field of Artificial Intelligence and Cyber Security.
| Τίτλος: | Bibliometric Analysis of Publication in the Field of Artificial Intelligence and Cyber Security. |
|---|---|
| Συγγραφείς: | Karakus, Songul, Ay, Sevinc |
| Πηγή: | Balkan Journal of Electrical & Computer Engineering; Sep2025, Vol. 13 Issue 3, p355-366, 12p |
| Θεματικοί όροι: | Artificial intelligence, Internet security, Bibliometrics, Intrusion detection systems (Computer security) |
| Reviews & Products: | Web of Science (Web resource) |
| Περίληψη: | With the rapid changes in technology, artificial intelligence and cybersecurity have become two important areas inseparable from each other in today's digital world. The aim of this article is to analyze academic research on artificial intelligence and cybersecurity using bibliometric analysis method by providing an overview of artificial intelligence and cybersecurity. The findings obtained from the bibliometric analysis conducted between 2002-2025 (available at the time of the search) using the Web of Science database revealed that there were a total of 1296 publications and 4023 authors related to artificial intelligence and cybersecurity. The most frequently used keywords were examined by the authors using the VOSviewer software, and as a result of this examination, cybersecurity was found to be repeated 344 times, and artificial intelligence was found to be repeated 238 times. It has been also seen that the data obtained included publications from 97 countries and the country with the highest number of publications has China with 282 publications. The relationships between artificial intelligence and cyber security technologies have been also visualized with VOSviewer software. While artificial intelligence has been suggested in the theme analysis, methods such as intrusion detection system and feature selection have been identified as niche themes. As a result, this study shows the current status of studies on artificial intelligence and cyber security. It is also thought to guide future studies in this field. [ABSTRACT FROM AUTHOR] |
| Copyright of Balkan Journal of Electrical & Computer Engineering is the property of Balkan Journal of Electrical & Computer Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 190050722 RelevancyScore: 1023 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1023.08752441406 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bibliometric Analysis of Publication in the Field of Artificial Intelligence and Cyber Security. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Karakus%2C+Songul%22">Karakus, Songul</searchLink><br /><searchLink fieldCode="AR" term="%22Ay%2C+Sevinc%22">Ay, Sevinc</searchLink> – Name: TitleSource Label: Source Group: Src Data: Balkan Journal of Electrical & Computer Engineering; Sep2025, Vol. 13 Issue 3, p355-366, 12p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+security%22">Internet security</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Intrusion+detection+systems+%28Computer+security%29%22">Intrusion detection systems (Computer security)</searchLink> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22Web+of+Science+%28Web+resource%29%22">Web of Science (Web resource)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the rapid changes in technology, artificial intelligence and cybersecurity have become two important areas inseparable from each other in today's digital world. The aim of this article is to analyze academic research on artificial intelligence and cybersecurity using bibliometric analysis method by providing an overview of artificial intelligence and cybersecurity. The findings obtained from the bibliometric analysis conducted between 2002-2025 (available at the time of the search) using the Web of Science database revealed that there were a total of 1296 publications and 4023 authors related to artificial intelligence and cybersecurity. The most frequently used keywords were examined by the authors using the VOSviewer software, and as a result of this examination, cybersecurity was found to be repeated 344 times, and artificial intelligence was found to be repeated 238 times. It has been also seen that the data obtained included publications from 97 countries and the country with the highest number of publications has China with 282 publications. The relationships between artificial intelligence and cyber security technologies have been also visualized with VOSviewer software. While artificial intelligence has been suggested in the theme analysis, methods such as intrusion detection system and feature selection have been identified as niche themes. As a result, this study shows the current status of studies on artificial intelligence and cyber security. It is also thought to guide future studies in this field. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Balkan Journal of Electrical & Computer Engineering is the property of Balkan Journal of Electrical & Computer Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=190050722 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17694/bajece.1585201 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 355 Subjects: – SubjectFull: Web of Science (Web resource) Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Internet security Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Intrusion detection systems (Computer security) Type: general Titles: – TitleFull: Bibliometric Analysis of Publication in the Field of Artificial Intelligence and Cyber Security. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karakus, Songul – PersonEntity: Name: NameFull: Ay, Sevinc IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2147284X Numbering: – Type: volume Value: 13 – Type: issue Value: 3 Titles: – TitleFull: Balkan Journal of Electrical & Computer Engineering Type: main |
| ResultId | 1 |