Abstract
This paper aims to analyze the Scopus-indexed English-language literature and apply the bibliometric methodology to show the reality of blockchain and cutting-edge technology intellectual structure and emerging trends from a large quantity of data between (2017) and (2022). The bibliometric analysis, therefore, is applied to describe this domain’s evolution and structure, including co-authorship, bibliographical coupling, and co-citation. The findings demonstrate that China is the most relevant country, the Hua Zhong University of Science and Technology is the most pertinent institution, and the ACM international conference proceeding series is the most applicable source. This paper mainly contributes to the existing literature by identifying the benchmark authors, locations of blockchain and cutting-edge technology, and journals, summarizing the most cited papers, and classifying the research classes of research streams in cutting-edge technology and blockchain, namely: blockchain, cutting-edge technology, and artificial intelligence, demonstrating the future upcoming trends.
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Rifai, F., Alrawashdeh, N., Alsmadi, A.A., Kasasbeh, H.A., Alzoubi, M. (2023). Cutting-Edge Technology and Blockchain: A Bibliometric Analysis (2017–2022). In: Yaseen, S.G. (eds) Cutting-Edge Business Technologies in the Big Data Era. SICB 2023. Studies in Big Data, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-42455-7_15
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DOI: https://doi.org/10.1007/978-3-031-42455-7_15
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