Abstract :Since 2012, there has been growing interest in cryptocurrency scientific research from different fields, including computer science and engineering, economics, business and finance, law, and regulations. The purpose of this paper is to develop a bibliometric analysis of all the scientific production around cryptocurrencies conducted in the economics and finance field so far. Analyzing the growing scientific literature on cryptocurrency published between 2012 and 2021, we provided useful insights on academic research in this field regarding publication year, type and category, authors, journals, and citations. Our methodology emerges as relevant when the topic comprises a large number of papers, which makes it unrealistic to perform a detailed reading of all the papers. This dual perspective offers a full landscape of cryptocurrency economic research. Firstly, by means of the distant reading provided by machine learning bibliometric techniques, we are able to identify main topics, journals, key authors, and other macro aggregates. The source of the documents, which support the study, was the Web of Science Core Collection. Using VOSviewer software, we have designed bibliometric maps based on text and bibliographic data. This bibliometric study provides a knowledge area map that identifies and evaluates the links between authors and countries’ distribution, the conceptual structure of the field, and the structure and connections of most cited papers and journals. Keywords : Cryptocurrency, Bibliometric analysis, Web of Science, VOSviewer
