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.
Aggregate Confusion: The Divergence of ESG Ratings
20221.2k citationsFlorian Berg, Julian F Kölbel et al.European Finance Reviewprofile →
The impact of monetary policy on asset prices
2004666 citationsRoberto Rigobón, Brian Sackprofile →
Countries citing papers authored by Roberto Rigobón
Since
Specialization
Citations
This map shows the geographic impact of Roberto Rigobón'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 Roberto Rigobón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Rigobón more than expected).
This network shows the impact of papers produced by Roberto Rigobón. 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 Roberto Rigobón. The network helps show where Roberto Rigobón may publish in the future.
Co-authorship network of co-authors of Roberto Rigobón
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Rigobón.
A scholar is included among the top collaborators of Roberto Rigobón 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 Roberto Rigobón. Roberto Rigobón is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berg, Florian, Julian F Kölbel, & Roberto Rigobón. (2022). Aggregate Confusion: The Divergence of ESG Ratings. European Finance Review. 26(6). 1315–1344.1210 indexed citations breakdown →
7.
Berg, Florian, Julian F Kölbel, & Roberto Rigobón. (2019). Aggregate Confusion: The Divergence of ESG Ratings. SSRN Electronic Journal.362 indexed citations breakdown →
8.
Borráz, Fernando, et al.. (2012). Distance and Political Boundaries: Estimating Border Effects Under Inequality Constraints. SSRN Electronic Journal.1 indexed citations
9.
Cavallo, Alberto & Roberto Rigobón. (2011). The Distribution of the Size of Price Changes. SSRN Electronic Journal.2 indexed citations
10.
Rigobón, Roberto & Anna Pavlova. (2011). Equilibrium Portfolios and External Adjustment under Incomplete Markets. RePEc: Research Papers in Economics.7 indexed citations
Raddatz, Claudio & Roberto Rigobón. (2003). Monetary Policy and Sectoral Shocks: Did the FED react properly to the High-Tech Crisis?. National Bureau of Economic Research.7 indexed citations
Kearns, Jonathan & Roberto Rigobón. (2002). Identifying the Efficacy of Central Bank Interventions: The Australian Case. National Bureau of Economic Research.17 indexed citations
17.
Rigobón, Roberto. (2001). Contagion: How to Measure It?. National Bureau of Economic Research. 269–334.54 indexed citations
Forbes, Kristin J. & Roberto Rigobón. (2000). Contagion in Latin America: Definitions, Measurement, and Policy Implications. London School of Economics and Political Science Research Online (London School of Economics and Political Science).7 indexed citations
20.
Rigobón, Roberto. (1998). Informational Speculative Attacks: Good News is No News. SSRN Electronic Journal.30 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.