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

Abstract

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.

Decentralizing spatial data: the convergence of Geographic Information Systems and Web 3.0 technologies

“…Furthermore, the emerging research trends highlighted by Akrami et al, such as the focus on AI-powered 5G networks and IoT environments, provide a broader context to our discussion on the significance of real-time data in GIS (Akrami et al, 2023). Their insights into potential challenges, especially around data privacy and the balance between transparency and security, offer a complementary perspective to our exploration of the challenges and considerations in decentralized spatial data storage.…”

“…Additionally, blockchain-based Intelligent Intrusion Detection Systems (IDS) have been developed for IoT environments, crucial for protecting geospatial data networks. Furthermore, projects like TrafficChain, a decentralized system for traffic information collection, illustrate blockchain's role in enhancing the security and integrity of geospatial data, especially in urban mobility (Akrami et al, 2023).…”

Analyzing Emerging Trends in Wireless Implantable Medical Devices (IMDs): A Bibliometric Study

“…In order to conduct a bibliometric analysis, it is imperative to have appropriate and suitable tools that can generate reliable research results and insightful interpretations from exported datasets [35]. Numerous visual analysis tools and software applications have emerged in recent years, including VOS Viewer, Science of Science, Bibliometrix-R, Pajek, Gephi, RefViz, and HistCit [36] The text mining feature of VOS Viewer allows for the visualization of co-occurrence, co-authorship, and co-citation patterns derived from literature. Furthermore, integrating VOS Viewer with Tableau allows for the creation of visually appealing and diverse data visualizations, effectively communicating relevant research findings.…”

“…Fifth, the bibliometric analysis includes two metrics: (1) performance, which involves tracking publication growth trends, identifying the most cited articles, and determining the most contributors based on countries, universities, authors, and journals; and (2) science mapping, which involves analyzing citation, co-occurrence, co-citation, bibliographic coupling, and co-authorship by countries, organizations, and authors. These metrics are used to examine the intellectual framework and knowledge interactions within a specific field [28], [36]. This study measured performance metrics to address the research objectives outlined in RQ1, RQ2, RQ3, RQ4, and RQ5.…”

Bibliometrics Study of Retail and Consumer Behavior Articles (1971-2022)

“…In the context of retailing and consumer behavior, such an analysis aids in discerning the trajectory of scholarly thought and influential researchers (Purcărea et al, 2020). By analyzing trends, identifying 2 significant contributors, and highlighting core thematic areas, bibliometric studies can provide invaluable insights into the state of research in any given field (El Akrami et al, 2023). This paper aims to fill this gap by answering the following research questions (RQs): RQ1: What is the publication trend and distribution of document types over time in the field?…”