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A bibliometric analysis of bitcoin scientific production

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  • Merediz-Solà, Ignasi
  • Bariviera, Aurelio F.

Abstract

Blockchain technology, and more specifically bitcoin (one of its foremost applications), have been receiving increasing attention in the scientific community. The first publications with bitcoin as a topic, can be traced back to 2012. In spite of this short time span, the production magnitude (1162 papers) makes it necessary to make a bibliometric study in order to observe research clusters, emerging topics, and leading scholars. Our paper is aimed at studying the scientific production only around bitcoin, excluding other blockchain applications. Thus, we restricted our search to papers indexed in the Web of Science Core Collection, whose topic is “bitcoin”. This database is suitable for such diverse disciplines such as economics, engineering, mathematics, and computer science. This bibliometric study draws the landscape of the current state and trends of bitcoin-related research in different scientific disciplines.

Suggested Citation

  • Merediz-Solà, Ignasi & Bariviera, Aurelio F., 2019. "A bibliometric analysis of bitcoin scientific production," Research in International Business and Finance, Elsevier, vol. 50(C), pages 294-305.
    • Handle: RePEc:eee:riibaf:v:50:y:2019:i:c:p:294-305
    DOI: 10.1016/j.ribaf.2019.06.008
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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The economics of BitCoin price formation," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
    3. McMillan, David G., 2019. "Cross-asset relations, correlations and economic implications," Global Finance Journal, Elsevier, vol. 41(C), pages 60-78.
    4. Chung, Kee H & Cox, Raymond A K, 1990. "Patterns of Productivity in the Finance Literature: A Study of the Bibliometric Distributions," Journal of Finance, American Finance Association, vol. 45(1), pages 301-309, March.
    5. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    6. Andrikopoulos, Andreas & Samitas, Aristeidis & Kostaris, Konstantinos, 2016. "Four decades of the Journal of Econometrics: Coauthorship patterns and networks," Journal of Econometrics, Elsevier, vol. 195(1), pages 23-32.
    7. Corrado Cuccurullo & Massimo Aria & Fabrizia Sarto, 2016. "Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 595-611, August.
    8. Miguel Almunia & Agustín Bénétrix & Barry Eichengreen & Kevin H. O’Rourke & Gisela Rua, 2010. "From Great Depression to Great Credit Crisis: similarities, differences and lessons [Germany: Guns, butter, and economic miracles]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(62), pages 219-265.
    9. Daniel Fonseca Costa & Francisval de Melo Carvalho & Bruno César de Melo Moreira, 2019. "Behavioral Economics And Behavioral Finance: A Bibliometric Analysis Of The Scientific Fields," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 3-24, February.
    10. Barro, Robert J, 1979. "Money and the Price Level under the Gold Standard," Economic Journal, Royal Economic Society, vol. 89(353), pages 13-33, March.
    11. Claudio A. Bonilla & José M. Merigó & Carolina Torres-Abad, 2015. "Economics in Latin America: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1239-1252, November.
    12. Maksym Polyakov & Serhiy Polyakov & Md Sayed Iftekhar, 2017. "Does academic collaboration equally benefit impact of research across topics? The case of agricultural, resource, environmental and ecological economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1385-1405, December.
    13. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    14. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    15. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    16. Platanakis, Emmanouil & Urquhart, Andrew, 2019. "Portfolio management with cryptocurrencies: The role of estimation risk," Economics Letters, Elsevier, vol. 177(C), pages 76-80.
    17. Bariviera, Aurelio F., 2017. "The inefficiency of Bitcoin revisited: A dynamic approach," Economics Letters, Elsevier, vol. 161(C), pages 1-4.
    18. HOROWITZ, Ira, 1970. "Employment concentration in the Common Market: An entropy approach," LIDAM Reprints CORE 66, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018. "Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
    20. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    21. Aslanidis, Nektarios & Bariviera, Aurelio F. & Martínez-Ibañez, Oscar, 2019. "An analysis of cryptocurrencies conditional cross correlations," Finance Research Letters, Elsevier, vol. 31(C), pages 130-137.
    22. Blaise Cronin, 2001. "Hyperauthorship: A postmodern perversion or evidence of a structural shift in scholarly communication practices?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(7), pages 558-569.
    23. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    24. Eduardo Zambrano & Alberto Hernando & Aurelio Fernandez-Bariviera & Ricardo Hernando & Angelo Plastino, 2015. "Thermodynamics of firms' growth," Papers 1504.07666, arXiv.org.
    25. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 658-670.
    26. Jyotir Moy Chatterjee & Le Hoang Son & Srijani Ghatak & Raghvendra Kumar & Manju Khari, 2018. "BitCoin exclusively informational money: a valuable review from 2010 to 2017," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2037-2054, September.
    27. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    28. David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
    29. Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
    30. Katsiampa, Paraskevi, 2019. "Volatility co-movement between Bitcoin and Ether," Finance Research Letters, Elsevier, vol. 30(C), pages 221-227.
    31. José M. Merigó & Christian A. Cancino & Freddy Coronado & David Urbano, 2016. "Academic research in innovation: a country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 559-593, August.
    32. Aurelio F. Bariviera & Luciano Zunino & Osvaldo A. Rosso, 2018. "An analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers," Papers 1808.01926, arXiv.org.
    33. Philipp Korom, 2019. "A bibliometric visualization of the economics and sociology of wealth inequality: a world apart?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 849-868, March.
    34. Lahmiri, Salim & Bekiros, Stelios, 2018. "Chaos, randomness and multi-fractality in Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 28-34.
    35. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    36. Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
    37. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    38. Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
    39. John Liu, 2016. "Bitcoin Literature: A Co-word Analysis," Proceedings of Economics and Finance Conferences 4206769, International Institute of Social and Economic Sciences.
    40. Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
    41. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    42. Shahzad, Syed Jawad Hussain & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2019. "Is Bitcoin a better safe-haven investment than gold and commodities?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 322-330.
    43. Guangyue Wei, 2019. "A Bibliometric Analysis Of The Top Five Economics Journals During 2012–2016," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 25-59, February.
    44. Lamberti, P.W & Martin, M.T & Plastino, A & Rosso, O.A, 2004. "Intensive entropic non-triviality measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 119-131.
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    More about this item

    Keywords

    Bitcoin; Bibliometrics; Web of Science; VOSviewer;
    All these keywords.

    JEL classification:

    • G19 - Financial Economics - - General Financial Markets - - - Other
    • E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other

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