TY  - JOUR
T1  - A 30-Year Bibliometric Analysis of 30 Emerging Technologies: AI, XR, Blockchain & Beyond
TT  - Son 30 Yılın 30 Yeni Teknolojisine Dair Bibliyometrik Bir Analiz: Yapay Zekâ, XR, Blokzincir ve Ötesi
AU  - Tuncay, Nazime
PY  - 2025
DA  - May
Y2  - 2025
JF  - European Journal of Educational and Social Sciences
JO  - EJESS
PB  - Ali KORKUT
WT  - DergiPark
SN  - 2564-6621
SP  - 13
EP  - 24
VL  - 10
IS  - 1
LA  - en
AB  - Over the past 30 years, numerous technological innovations have emerged, these had been of interest to many researchers. This study examines the research about technologies from 1994 to 2024. The comprehensive analysis encompassed 1,069,978 scholarly publications, systematically identified through structured keyword protocols targeting article titles, abstracts, and indexed terminology. The fields have sustained long-term academic attention, which are rapidly gaining visibility, and what these developments reveal about broader directions in science, technology, and interdisciplinary innovationNeural networks, virtual reality, big data, and natural language processing lead the field in terms of research volume, while technologies such as quantum AI, mixed reality, and projection-based AR are emerging areas that are steadily gaining academic interesNonetheless, Neural Networks represent the predominant focus (45.3% of the corpus), followed by Virtual Reality (8.1%), Big Data analytics (7.4%), and Natural Language Processing methodologies (5.6%). Distributed ledger technologies (Blockchain, 3.1%) and digital security frameworks (Cybersecurity, 1.8%) have demonstrated accelerated research adoption in recent years, nascent fields, including Quantum-Enhanced Artificial Intelligence (0.002%) and Mixed Reality environments (0.08%), remain at earlier developmental stages despite exhibiting substantial growth indicators.  These scholarly trends align with observable shifts in industrial implementation strategies and the development of regulatory frameworks. These findings provide a deeper understanding of how the rapid evolution of technology is reshaping priorities across research, industry, and everyday life.
KW  - Bibliometric Analysis
KW  - Emerging Technologies
KW  - Artificial Intelligence (AI)
KW  - Extended Reality (XR)
KW  - Blockchain and Cybersecurity
N2  - Over the past 30 years, numerous technological innovations have emerged, these had been of interest to many researchers. This study examines the research about technologies from 1994 to 2024. The comprehensive analysis encompassed 1,069,978 scholarly publications, systematically identified through structured keyword protocols targeting article titles, abstracts, and indexed terminology. The fields have sustained long-term academic attention, which are rapidly gaining visibility, and what these developments reveal about broader directions in science, technology, and interdisciplinary innovationNeural networks, virtual reality, big data, and natural language processing lead the field in terms of research volume, while technologies such as quantum AI, mixed reality, and projection-based AR are emerging areas that are steadily gaining academic interesNonetheless, Neural Networks represent the predominant focus (45.3% of the corpus), followed by Virtual Reality (8.1%), Big Data analytics (7.4%), and Natural Language Processing methodologies (5.6%). Distributed ledger technologies (Blockchain, 3.1%) and digital security frameworks (Cybersecurity, 1.8%) have demonstrated accelerated research adoption in recent years, nascent fields, including Quantum-Enhanced Artificial Intelligence (0.002%) and Mixed Reality environments (0.08%), remain at earlier developmental stages despite exhibiting substantial growth indicators.  These scholarly trends align with observable shifts in industrial implementation strategies and the development of regulatory frameworks. These findings provide a deeper understanding of how the rapid evolution of technology is reshaping priorities across research, industry, and everyday life.
CR  - Ahmed, M., & García, J. (2023). Technological inflection points and computational innovation: A longitudinal analysis. Journal of Research Evolution, 45(3), 287-302.
CR  - Brown, L., & Davis, T. (2023). Permeability of research domains in contemporary technological scholarship. International Review of Digital Sciences, 12(2), 113-129.
CR  - Castells, M. (2020). Networks of innovation: Technology and the transformation of research. Stanford University Press.
CR  - Harrison, P., & Miller, K. (2023). Strategic planning for technological research advancement in academic institutions. Technology Policy Review, 18(4), 401-417.
CR  - Jackson, R., Williams, S., & Thompson, L. (2021). Future directions in technology-oriented knowledge economies. Journal of Innovation Studies, 34(1), 78-96.
CR  - Johnson, R., & Smith, K. (2023). Methodological transformations in digital era research frameworks. Research Methodology Today, 15(2), 142-158.
CR  - Kumar, A., & Thompson, D. (2022). Patterns of technological domain development: A 25-year retrospective. Technology Evolution Quarterly, 37(1), 55-71.
CR  - Lee, J., & Chen, W. (2021). Mapping technological evolution through bibliometric indicators. Research Metrics and Analysis, 29(4), 312-328.
CR  - Martinez, R., Nguyen, T., & Wilson, J. (2022). Cross-disciplinary knowledge transfer in emerging technological domains. Knowledge Management Research, 40(3), 233-251.
CR  - Rodriguez, C., & Park, S. (2019). Technological research ecosystems: Emergence, growth and consolidation patterns. Innovation Science Review, 27(2), 189-204.
CR  - Wang, Y., Zhang, L., Chen, H., & Roberts, A. (2022). The changing landscape of technological research: Implications for global innovation systems. Science and Technology Studies, 31(4), 378-396.
CR  - Wilson, K., Thomas, P., Anderson, J., & Green, S. (2024). Advancement patterns in artificial intelligence, immersive technologies and quantum systems. Technology Futures, 16(1), 22-38.
CR  - Wong, R., & Roberts, E. (2024). Bibliometric approaches to identifying technological transition points and acceleration periods. Journal of Research Metrics, 19(2), 165-181.
CR  - Zhao, L., & Patel, R. (2021). Cross-domain technological innovation: Patterns and processes. Innovation Research Quarterly, 42(3), 277-293.
UR  - https://dergipark.org.tr/en/pub/ejees/issue//1697075
L1  - https://dergipark.org.tr/en/download/article-file/4859998
ER  -