Web of Science Yayınlarından Kripto Para Biriminin Bibliyometrik Analizi

Yıl 2026, Cilt: 40 Sayı: 2 , 334 - 349 , 31.03.2026

Hatice İmamoğlu

https://doi.org/10.16951/trendbusecon.1791324

https://izlik.org/JA66GG27GE

Öz

Bu çalışma, 2016 ve 2025 yılları arasında kripto para birimlerine ilişkin bilimsel literatürü bibliyometrik yöntemlerle inceleyerek yayın eğilimlerini, tematik yönelimleri, işbirliği ağlarını ve coğrafi katkıları ortaya koymaktadır. Web of Science veri tabanından alınan, başlığında “cryptocurrency” anahtar kelimesi bulunan ve “Ekonomi” ve “İşletme Finansı” kategorileriyle sınırlı toplam 959 makale, VOSviewer yazılımı kullanılarak analiz edildi. Bulgular, 2019'dan sonra yayın çıktısında belirgin bir artış olduğunu göstermektedir. Amerika Birleşik Devletleri, Çin ve İngiltere merkezi konumlarını korurken, Vietnam, Hindistan ve Türkiye artan katkıda bulunanlar olarak ortaya çıkmaktadır. Çok alıntı yapılan çalışmalar, kripto para piyasalarındaki oynaklığa, risk-getiri dinamiklerine, pazar entegrasyonuna, yapay zeka ve makine öğrenimi uygulamalarına odaklanmaktadır. Anahtar kelime kümelemesi, finansal ekonomi, bilgisayar bilimi ve düzenleyici tartışmalar arasındaki kesişmeleri göstererek alanın çok boyutlu doğasını vurgulamaktadır. Genel olarak çalışma, kripto para birimi araştırmasının hızla küresel, çok merkezli ve ağ tabanlı bir alana dönüştüğünü ve araştırmacılara teorik yönelimleri, metodolojik yaklaşımları ve uluslararası işbirliklerini yönlendirecek kapsamlı bir harita sunmaktadır.

Anahtar Kelimeler

Kripto Paralar , Bibliyometrik Analiz , Finansal Piyasalar , Yapay Zeka , Uluslararası İş Birliği

Proje Numarası

yok

A Bibliometric Analysis of Cryptocurrency from Web of Science Publications

https://izlik.org/JA66GG27GE

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.
• Fry, J., and Cheah, E. T. (2016). Negative bubbles and shocks in cryptocurrency markets. International Review of Financial Analysis, 47, 367–377.
• Jenweeranon, P. (2022). Digital assets and central bank digital currency in ASEAN. In Global Perspectives in FinTech: Law, Finance and Technology (pp. 97-115). Cham: Springer International Publishing. Ji, Q., Bouri, E., Lau, C. K. M., and Roubaud, D. (2019). Dynamic connectedness and integration in cryptocurrency markets. International Review of Financial Analysis, 63, 257–272.
• John, D. L., Binnewies, S. and Stantic, B. (2024). Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions. Forecasting, 6(3), 637-671.
• Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3–6.
• Kayani, U., and Hasan, F. (2024). Unveiling cryptocurrency impact on financial markets and traditional banking systems: Lessons for sustainable blockchain and interdisciplinary collaborations. Journal of Risk and Financial Management, 17(2), 58. Liu, Y., and Tsyvinski, A. (2021). Risks and returns of cryptocurrency. Review of Financial Studies, 34(6), 2689–2727.
• Magazzino, C., Gattone, T., & Horky, F. (2025). Economic and financial development as determinants of crypto adoption. International Review of Financial Analysis, 103, 104217.
• Makarov, I., and Schoar, A. (2020). Trading and arbitrage in cryptocurrency markets. Journal of Financial Economics, 135(2), 293–319.
• Rehman, M. A., Chopra, R., and Yadav, A. (2024). Co-moment Insights from environmental sustainability with financial markets dynamics. Computational Economics, 1-27.
• Saikia, S., Maurya, A., and Verma, M. K. (2024). Emerging trends and performance measurement of cryptocurrency research during 2013–2022: a systematic review based on computational mapping. Global Knowledge, Memory and Communication.
• Shahzad, M. F., Xu, S., Lim, W. M., Hasnain, M. F., and Nusrat, S. (2024). Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone. Humanities and Social Sciences Communications, 11(1), 1-14.
• Shahzad, S. J. H., Bouri, E., Roubaud, D., and Kristoufek, L. (2020). Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin. Economic Modelling, 87, 212-224.
• Skinner, C. P. (2023). Central bank digital currency as new public money. University of Pennsylvania Law Review., 172, 151.
• Sun, X., Liu, M., and Sima, Z. (2020). A novel cryptocurrency price trend forecasting model based on LightGBM. Finance Research Letters, 32, 101084. Zetzsche, D. A., Arner, D. W., and Buckley, R. P. (2020). Decentralized finance. Journal of Financial Regulation, 6(2), 172-203.