Artículo

Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis

Resumen

Blockchain and machine learning (ML) has garnered growing interest as cutting-edge technologies that have witnessed tremendous strides in their respective domains. Blockchain technology provides a decentralized and immutable ledger, enabling secure and transparent transactions without intermediaries. Alternatively, ML is a sub-field of artificial intelligence (AI) that empowers systems to enhance their performance by learning from data. The integration of these data-driven paradigms holds the potential to reinforce data privacy and security, improve data analysis accuracy, and automate complex processes. The confluence of blockchain and ML has sparked increasing interest among scholars and researchers. Therefore, a bibliometric analysis is carried out to investigate the key focus areas, hotspots, potential prospects, and dynamical aspects of the field. This paper evaluates 700 manuscripts drawn from the Web of Science (WoS) core collection database, spanning from 2017 to 2022. The analysis is conducted using advanced bibliometric tools (e.g., Bibliometrix R, VOSviewer, and CiteSpace) to assess various aspects of the research area regarding publication productivity, influential articles, prolific authors, the productivity of academic countries and institutions, as well as the intellectual structure in terms of hot topics and emerging trends. The findings suggest that upcoming research should focus on blockchain technology, AI-powered 5G networks, industrial cyber-physical systems, IoT environments, and autonomous vehicles. This paper provides a valuable foundation for both academic scholars and practitioners as they contemplate future projects on the integration of blockchain and ML.
Urrea-Cuéllar, Ángela (57220211864); Londoño Vásquez, David (55817087400)
Review of theoretical and research trends in the field of Psychology of Physical Activity and Sports in Ibero-American; [Revisión de las tendencias teóricas e investigativas en el campo de la Psicología de la Actividad Física y del Deporte en Iberoamérica]
2022
10.17081/psico.25.47.4836
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151403886&doi=10.17081%2fpsico.25.47.4836&partnerID=40&md5=961c369da2b8790ba0c36e09f204bf96
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio