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Analysis of institutional authors

Gonzalez-Mendes SAuthorGonzález-Sánchez RAuthorGarcía-Muiña FAuthor

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Proceedings Paper

Enabling the Sustainable Urban Future of Smart Cities with Blockchain and Artificial Intelligence

Publicated to:Lecture Notes In Networks And Systems. 839 343-353 - 2024-01-01 839(), DOI: 10.1007/978-981-99-8324-7_29

Authors: González-Mendes S; González-Sánchez R; Costa CJ; García-Muiña F

Affiliations

Advance/ISEG; Lisbon School of Economic and Management; Universidade de Lisboa; Lisboa; Portugal - Author
Business Administration (ADO); Applied Economics II and Fundaments of Economic Analysis Rey Juan Carlos University; Madrid; Spain - Author

Abstract

The rapid growth of the global urban population has led to various economic, environmental, and social challenges. Smart cities have emerged as a solution to address these issues and provide intelligent services for improved quality of life. Disruptive technologies like blockchain and artificial intelligence (AI) play a significant role in implementing smart cities. Blockchain ensures secure and transparent data flow, while AI facilitates data processing and analysis. By leveraging these technologies, smart cities can enhance decision-making processes and improve management efficiency. Bibliometric analysis reveals the prominent authors, institutions, countries, and journals in research related to these topics. The analysis also identifies five clusters of research trends, including improving security through prediction analysis in machine learning, addressing challenges in management systems, developing new networks with blockchain and IoT, improving transportation and smart mobility, and intrusion and attack detection on the internet using deep learning. These research trends highlight the integration of blockchain, AI, and other technologies to create sustainable and efficient smart cities. It proposes a new business model for companies in the transportation sector. Findings show that is relevant to educate the population and the workforce in using new technologies and sharing economy to support the environment, using new platform systems with cryptocurrencies and the support of governments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Keywords

Artificial intelligenceBibliometric analysisBibliometrics analysisBlock-chainBlockchainData flow analysisDecision makingDeep learningEconomic challengesEnvironmental challengesIntelligent servicesIntrusion detectionPopulation statisticsRapid growthResearch trendsSmart citiesSmart citySocial challengesSustainableSustainable developmentUrban growthUrban population

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Lecture Notes In Networks And Systems, Q4 Agency Scopus (SJR), its regional focus and specialization in Signal Processing, give it significant recognition in a specific niche of scientific knowledge at an international level.

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 2025-06-28:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 27.
  • 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: 27 (PlumX).

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

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Portugal.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (González Mendes, Soraya) and Last Author (García Muiña, Fernando Enrique).