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.
Exploring the international linkages of the euro area: a global VAR analysis
2007594 citationsStéphane Dées, Filippo di Mauro et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Filippo di Mauro
Since
Specialization
Citations
This map shows the geographic impact of Filippo di Mauro'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 Filippo di Mauro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo di Mauro more than expected).
Fields of papers citing papers by Filippo di Mauro
This network shows the impact of papers produced by Filippo di Mauro. 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 Filippo di Mauro. The network helps show where Filippo di Mauro may publish in the future.
Co-authorship network of co-authors of Filippo di Mauro
This figure shows the co-authorship network connecting the top 25 collaborators of Filippo di Mauro.
A scholar is included among the top collaborators of Filippo di Mauro 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 Filippo di Mauro. Filippo di Mauro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Altomonte, Carlo, María Bas, Matteo Bugamelli, et al.. (2016). Measuring competitiveness in Europe: resource allocation, granularity and trade. Bruegel Blueprint Series Volume XVIV, January 2016. Archive of European Integration (AEI) (University of Pittsburgh).2 indexed citations
Mauro, Filippo di, et al.. (2008). Globalisation and the competitiveness of the euro area. Econstor (Econstor).1 indexed citations
15.
Bunda, Irina, et al.. (2008). The Changing Role of the Exchange Rate in a Globalised Economy. HAL (Le Centre pour la Communication Scientifique Directe).4 indexed citations
16.
Mauro, Filippo di, Robert K. Kaufmann, & Pavlos Karadeloglou. (2008). Will oil prices decline over the long run. RePEc: Research Papers in Economics.2 indexed citations
Mauro, Filippo di, et al.. (1995). Computable general equilibrium models as tools for policy analysis in developing countries : some basic principles and an empirical application. OpenGrey (Institut de l'Information Scientifique et Technique).
20.
Mauro, Filippo di, et al.. (1993). A Computable General Equilibrium Model of Nepal.6 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.