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Scientific Article details

Title How the V4 Nations Handle the Idea of Smart Cities
ID_Doc 40951
Authors Blazek, R; Durana, P; Jaros, J
Title How the V4 Nations Handle the Idea of Smart Cities
Year 2022
Published Information, 13, 12
DOI 10.3390/info13120570
Abstract Smart city is a term that includes digital, information, and communication technologies that contribute to increasing the level and quality of life in individual cities. It focuses primarily on the efficient use of existing resources but also on the discovery of new ones, with the goal of lowering energy consumption while also reducing environmental impact and optimizing traffic in specific areas of the city. This concept is increasingly coming to the fore. Thus, the aim of this article was to determine the level of involvement of Slovak, Czech, Polish, and Hungarian authors in solutions for Smart cities using Web of Science data. The analysis of countries that form the Visegrad Four (V4) region reveals how the region ranks compared to other countries that are actively involved in Smart cities based on VosViewer. To map a specific region of countries, it is necessary to first understand the underlying causes of the problem worldwide. Then, the status of the authors, the number of articles and citations, and universities may be actively discussed and graphically depicted for each nation in Visegrad. Based on the discovered results, academics can identify the contributors and institutions that have solved the issue individually or in co-authorships over a long period. The findings provide data for future testing of selected dependencies and a platform for creating a scientific model to rank countries. In addition, the authorities may focus on identified clusters of key areas that are an essential part of Smart cities and provide a higher quality of life in their city for the people.
Author Keywords bibliographic analysis; smart city; Visegrad Four
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000902738200001
WoS Category Computer Science, Information Systems
Research Area Computer Science
PDF https://www.mdpi.com/2078-2489/13/12/570/pdf?version=1670483417
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