Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Rise of the Central Bank Digital Currencies: Drivers, Approaches and Technologies
2020209 citationsRaphael Auer, Giulio Cornelli et al.SSRN Electronic Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Giulio Cornelli
Since
Specialization
Citations
This map shows the geographic impact of Giulio Cornelli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giulio Cornelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulio Cornelli more than expected).
This network shows the impact of papers produced by Giulio Cornelli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giulio Cornelli. The network helps show where Giulio Cornelli may publish in the future.
Co-authorship network of co-authors of Giulio Cornelli
This figure shows the co-authorship network connecting the top 25 collaborators of Giulio Cornelli.
A scholar is included among the top collaborators of Giulio Cornelli based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Giulio Cornelli. Giulio Cornelli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cornelli, Giulio, et al.. (2021). Fintech and Big Tech Credit: What Explains the Rise of Digital Lending?. RePEc: Research Papers in Economics. 22(2). 30–34.5 indexed citations
11.
Cornelli, Giulio, et al.. (2021). Funding for fintechs: patterns and drivers. BIS quarterly review.16 indexed citations
12.
Cornelli, Giulio, et al.. (2021). Big Data in Asian Central Banks. Asian Economic Policy Review. 17(2). 255–269.5 indexed citations
13.
Auer, Raphael, et al.. (2021). CBDCs beyond borders: results from a survey of central banks. RePEc: Research Papers in Economics.21 indexed citations
14.
Amstad, Marlene, et al.. (2020). Investors' risk attitudes in the pandemic and the stock market: new evidence based on internet searches. SSRN Electronic Journal.8 indexed citations
15.
Cornelli, Giulio, et al.. (2020). Fintech and big tech credit: a new database. SSRN Electronic Journal.65 indexed citations
16.
Auer, Raphael, Giulio Cornelli, & Jon Frost. (2020). Covid-19, cash, and the future of payments. RePEc: Research Papers in Economics.61 indexed citations
17.
Auer, Raphael, Giulio Cornelli, & Jon Frost. (2020). Rise of the Central Bank Digital Currencies: Drivers, Approaches and Technologies. SSRN Electronic Journal.209 indexed citations breakdown →
Cornelli, Giulio, et al.. (2019). SME finance in Asia: Recent innovations in fintech credit, trade finance, and beyond. Econstor (Econstor).3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.