The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis

Currently, the priority direction of the national economy in the world’s countries is the formation of an appropriate system of protection and security of critical infrastructure, which is able to quickly respond to exogenous and endogenous threats and risks and flexibly adapt to new operating condi...

Full description

Saved in:
Bibliographic Details
Main Author: Nataliia Trushkina
Format: Article
Language:English
Published: Anhalt University of Applied Sciences 2025-04-01
Series:Proceedings of the International Conference on Applied Innovations in IT
Subjects:
Online Access:https://icaiit.org/paper.php?paper=13th_ICAIIT_1/3_10
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849715349797208064
author Nataliia Trushkina
author_facet Nataliia Trushkina
author_sort Nataliia Trushkina
collection DOAJ
description Currently, the priority direction of the national economy in the world’s countries is the formation of an appropriate system of protection and security of critical infrastructure, which is able to quickly respond to exogenous and endogenous threats and risks and flexibly adapt to new operating conditions using digital technologies and information systems. At the same time, in the last decade, the role of artificial intelligence as a powerful tool in the management system for the development of critical infrastructure will grow. Therefore, the purpose of this article is to identify the relationship between artificial intelligence and the development of critical infrastructure by characterizing the evolution of key patterns of scientific publications on this problem. To achieve this goal, a relevant sample of scientific articles was formed based on identifying periods of publication activity and bibliometric analysis of keyword matches to identify promising areas of research in this area. The formed sample of publications for the study includes 606 documents indexed by the international scientometric database Scopus for the period 2011-2025. Bibliometric analysis and visualization of its results were carried out using the VOSviewer software product. Based on the visualization maps, seven clusters were identified and characterized by the content coincidence of keywords in the publications and five stages of the evolutionary development of artificial intelligence technologies for the effective functioning of critical infrastructure. Based on the analysis of empirical data, the exponential growth of the number of publications on the selected issues was confirmed (the annual growth rate of the number of scientific papers on this topic is 23.5% for 2011-2024). The results of the analysis can be used in further research to substantiate and develop an algorithm of actions for rapid response to crisis phenomena and adaptation of the functioning of critical infrastructure facilities to new global challenges.
format Article
id doaj-art-dcfe0ba37afc41fda16cdb612ffc5f47
institution DOAJ
issn 2199-8876
language English
publishDate 2025-04-01
publisher Anhalt University of Applied Sciences
record_format Article
series Proceedings of the International Conference on Applied Innovations in IT
spelling doaj-art-dcfe0ba37afc41fda16cdb612ffc5f472025-08-20T03:13:26ZengAnhalt University of Applied SciencesProceedings of the International Conference on Applied Innovations in IT2199-88762025-04-0113123124110.25673/119238The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric AnalysisNataliia Trushkina0https://orcid.org/0000-0002-6741-7738Research Center for Industrial Problems of Development of the National Academy of Sciences of Ukraine, Inzhenernyi Lane 1a, 61165 Kharkiv, UkraineCurrently, the priority direction of the national economy in the world’s countries is the formation of an appropriate system of protection and security of critical infrastructure, which is able to quickly respond to exogenous and endogenous threats and risks and flexibly adapt to new operating conditions using digital technologies and information systems. At the same time, in the last decade, the role of artificial intelligence as a powerful tool in the management system for the development of critical infrastructure will grow. Therefore, the purpose of this article is to identify the relationship between artificial intelligence and the development of critical infrastructure by characterizing the evolution of key patterns of scientific publications on this problem. To achieve this goal, a relevant sample of scientific articles was formed based on identifying periods of publication activity and bibliometric analysis of keyword matches to identify promising areas of research in this area. The formed sample of publications for the study includes 606 documents indexed by the international scientometric database Scopus for the period 2011-2025. Bibliometric analysis and visualization of its results were carried out using the VOSviewer software product. Based on the visualization maps, seven clusters were identified and characterized by the content coincidence of keywords in the publications and five stages of the evolutionary development of artificial intelligence technologies for the effective functioning of critical infrastructure. Based on the analysis of empirical data, the exponential growth of the number of publications on the selected issues was confirmed (the annual growth rate of the number of scientific papers on this topic is 23.5% for 2011-2024). The results of the analysis can be used in further research to substantiate and develop an algorithm of actions for rapid response to crisis phenomena and adaptation of the functioning of critical infrastructure facilities to new global challenges.https://icaiit.org/paper.php?paper=13th_ICAIIT_1/3_10critical infrastructurecritical infrastructure developmentartificial intelligencecyber threatcybersecurityinformation securitydigital spacestrategic managementrisk managementdigital transformation. information systeminformation technologybibliometric analysis
spellingShingle Nataliia Trushkina
The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis
Proceedings of the International Conference on Applied Innovations in IT
critical infrastructure
critical infrastructure development
artificial intelligence
cyber threat
cybersecurity
information security
digital space
strategic management
risk management
digital transformation. information system
information technology
bibliometric analysis
title The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis
title_full The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis
title_fullStr The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis
title_full_unstemmed The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis
title_short The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis
title_sort relationship between artificial intelligence and critical infrastructure development bibliometric analysis
topic critical infrastructure
critical infrastructure development
artificial intelligence
cyber threat
cybersecurity
information security
digital space
strategic management
risk management
digital transformation. information system
information technology
bibliometric analysis
url https://icaiit.org/paper.php?paper=13th_ICAIIT_1/3_10
work_keys_str_mv AT nataliiatrushkina therelationshipbetweenartificialintelligenceandcriticalinfrastructuredevelopmentbibliometricanalysis
AT nataliiatrushkina relationshipbetweenartificialintelligenceandcriticalinfrastructuredevelopmentbibliometricanalysis