A Bibliometric Analysis of Cryptocurrency from Web of Science Publications
Öz
Using bibliometric methods, this study evaluates published scientific literature about cryptocurrencies covering the years 2016 to 2025 through an overview of publication patterns, theme orientation, networks of collaborations, and contributions by region. We analyzed 959 articles using VOSviewer found in the Web of Science database, with the keyword “cryptocurrency” in the title and limited to the categories “Economics” and “Business Finance.” Post 2019, publication output exhibited an important upward trajectory, the findings show. The United States, China, and England keep the field front and center while Vietnam, India, and Turkey are gradually increasing contributors. Frequent references report on cryptocurrency market volatility, risk–return dynamics, market integration, and applications of artificial intelligence and machine learning. The keyword clustering is suggestive of the multidimensionality of such work reflecting the connection between financial economics, computer science, and regulatory controversies. Overall, the study shows that cryptocurrency research has developed significantly into a global, multidimensional, networked niche with a comprehensive map on which researchers may refer to theoretical perspectives, methodological strategies, and international collaborations.
Anahtar Kelimeler
Cryptocurrencies, Bibliometric Analysis, Financial Markets, Artificial Intelligence, International Collaboration
Proje Numarası
yok
Kaynakça
- Amirzadeh, R., Nazari, A., and Thiruvady, D. (2022). Applying artificial intelligence in cryptocurrency markets: A survey. Algorithms, 15(11), 428.
- Auer, R., Frost, J., Gambacorta, L., Monnet, C., Rice, T., and Shin, H. S. (2022). Central bank digital currencies: motives, economic implications, and the research frontier. Annual review of economics, 14(1), 697-721.
- Bouri, E., Shahzad, S. J. H., and Roubaud, D. (2020). Cryptocurrencies as hedges and safe-havens for US equity sectors. The Quarterly Review of Economics and Finance, 75, 294-307.
- Boyack, K. W., and Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389–2404.
- Boyack, K. W., Klavans, R., and Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351–374.
- Cheah, E. T., and Fry, J. (2015). Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Economics Letters, 130, 32–36. Corbet, S., Lucey, B., and Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81–88.
- Corbet, S., Lucey, B., Urquhart, A., and Yarovaya, L. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182-199.
- Czasonis, M., Kritzman, M., Pamir, B., & Turkington, D. (2022). The Role of Cryptocurrencies in Investor Portfolios. The Journal of Alternative Investments, 24(24), 18-32.
- Eckhardt, Y., and Glückler, J. (2025). Cryptocurrencies, a controversial innovation? Unpacking argumentation analysis in economic geography. Progress in Economic Geography, 3(1), 100032.
- El Hajj, M., and Farran, I. (2024). The cryptocurrencies in emerging markets: Enhancing financial inclusion and economic empowerment. Journal of Risk and Financial Management, 17(10), 467.