Sergio Gavilá is a scholar working on Finance, Accounting and Infectious Diseases.
According to data from OpenAlex, Sergio Gavilá has authored 6 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Finance, 2 papers in Accounting and 0 papers in Infectious Diseases. Recurrent topics in Sergio Gavilá's work include Banking stability, regulation, efficiency (3 papers), Global Financial Crisis and Policies (3 papers) and Islamic Finance and Banking Studies (2 papers). Sergio Gavilá is often cited by papers focused on Banking stability, regulation, efficiency (3 papers), Global Financial Crisis and Policies (3 papers) and Islamic Finance and Banking Studies (2 papers). Sergio Gavilá collaborates with scholars based in Spain, Austria and Italy. Sergio Gavilá's co-authors include Alicia Garcı́a-Herrero, Daniel Santabárbara, Philipp Maier, Anna Maria Rossi, Aviram Levy and Ettore Dorrucci and has published in prestigious journals such as Journal of Banking & Finance, RePEc: Research Papers in Economics and SSRN Electronic Journal.
In The Last Decade
Sergio Gavilá
5 papers
receiving
469 citations
Hit Papers
What are hit papers?
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.
What explains the low profitability of Chinese banks?
2009441 citationsAlicia Garcı́a-Herrero, Sergio Gavilá et al.Journal of Banking & Financeprofile →
Citations per year, relative to Sergio Gavilá Sergio Gavilá (= 1×)
peers
António F. Miguel
Countries citing papers authored by Sergio Gavilá
Since
Specialization
Citations
This map shows the geographic impact of Sergio Gavilá'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 Sergio Gavilá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Gavilá more than expected).
This network shows the impact of papers produced by Sergio Gavilá. 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 Sergio Gavilá. The network helps show where Sergio Gavilá may publish in the future.
Co-authorship network of co-authors of Sergio Gavilá
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Gavilá.
A scholar is included among the top collaborators of Sergio Gavilá 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 Sergio Gavilá. Sergio Gavilá is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Garcı́a-Herrero, Alicia, Sergio Gavilá, & Daniel Santabárbara. (2009). What explains the low profitability of Chinese banks?. Journal of Banking & Finance. 33(11). 2080–2092.441 indexed citations breakdown →
4.
Dorrucci, Ettore, et al.. (2006). The accumulation of foreign reserves. RePEc: Research Papers in Economics.2 indexed citations
5.
Garcı́a-Herrero, Alicia & Sergio Gavilá. (2006). Posible impacto de Basilea II en los países emergentes. RePEc: Research Papers in Economics. 103–124.
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.