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Analysis of institutional authors

Camacho, DavidAuthor

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December 3, 2024
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A Comprehensive Study on Quantum Computing Technologies in Smart City: Review and Future Directions

Publicated to: Human-centric Computing and Information Sciences. 14 64- - 2024-11-30 14(), DOI: 10.22967/HCIS.2024.14.064

Authors:

EL Azzaoui, A; Arif, T; Park, H; Chen, HT; Camacho, D; Park, JH
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Affiliations

Seoul Natl Univ Sci & Technol, Dept Comp Sci & Engn, Seoul, South Korea - Author
Tech Univ Madrid, Dept Comp Syst Engn, Madrid, Spain - Author

Abstract

The word quantum has recently become an interesting topic for experts worldwide. With its innovative solutions to improve network management, security, and computational efficiency, quantum computing has the potential to revolutionize smart city architectural design. Although it's still in its early stages, the incorporation of quantum computing into smart city infrastructures holds great potential for improvements in several areas, such as energy systems, transportation, and healthcare. The purpose of this study is to outline the state-of-the-art and future directions for quantum computing technology in smart city applications. With an emphasis on their usefulness and advantages in urban settings, we provide an extensive overview of the current quantum computing frameworks, along with a thorough analysis of quantum algorithms, network architectures, and communication protocols designed for smart cities are some of the study's major contributions. We also examine realistic deployment scenarios that tackle both the future directions of research and the current technological hurdles. Furthermore, our study also addresses the adoption and deployment of quantum computing solutions in smart cities by offering urban planners and technologists strategic insights and foundational knowledge through an in-depth analysis. In addition, our study provides reference guidance on integrating the solutions proposed in recent papers into a unified architectural framework for quantum computing technologies.
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Keywords

ChallengesMachineModelQuantum algorithmQuantum communicationQuantum computingQuantum networksSmart citSmart city

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Human-centric Computing and Information Sciences due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 119/258, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Science, Information Systems. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Computer Science (Miscellaneous).

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-13:

  • WoS: 1
  • Scopus: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-13:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 7 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Republic of Korea.

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    Awards linked to the item

    This research was supported by the Strategic Networking & Development Program funded by the Ministry of Science and ICT through the National Research Foundation of Korea (No. RS-2023-00267476) .
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