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.
Emerging Market Business Cycles: The Cycle Is the Trend
2007842 citationsMark Aguiar, Gita GopinathJournal of Political Economyprofile →
Measuring Trends in Leisure: The Allocation of Time Over Five Decades
2007628 citationsMark Aguiar, Erik HurstThe Quarterly Journal of Economicsprofile →
Consumption versus Expenditure
2005496 citationsMark Aguiar, Erik HurstJournal of Political Economyprofile →
Defaultable debt, interest rates and the current account
2005485 citationsMark Aguiar, Gita GopinathJournal of International Economicsprofile →
Time Use During the Great Recession
2013284 citationsMark Aguiar, Erik Hurst et al.American Economic Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Mark Aguiar'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 Mark Aguiar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Aguiar more than expected).
This network shows the impact of papers produced by Mark Aguiar. 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 Mark Aguiar. The network helps show where Mark Aguiar may publish in the future.
Co-authorship network of co-authors of Mark Aguiar
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Aguiar.
A scholar is included among the top collaborators of Mark Aguiar 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 Mark Aguiar. Mark Aguiar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Aguiar, Mark, Mark Bils, Kerwin Kofi Charles, & Erik Hurst. (2017). Leisure Luxuries and the Labor Supply of Young Men. SSRN Electronic Journal.1 indexed citations
8.
Aguiar, Mark, Manuel Amador, Emmanuel Farhi, & Gita Gopinath. (2015). Coordination and Crisis in Monetary Unions*. The Quarterly Journal of Economics. 130(4). 1727–1779.50 indexed citations
Aguiar, Mark & Manuel Amador. (2013). Sovereign Debt: A Review. National Bureau of Economic Research.8 indexed citations
11.
Aguiar, Mark, Erik Hurst, & Loukas Karabarbounis. (2013). Time Use During the Great Recession. American Economic Review. 103(5). 1664–1696.284 indexed citations breakdown →
Aguiar, Mark & Gita Gopinath. (2007). The Role of Interest Rates and Productivity Shocks in Emerging Market Fluctuations. RePEc: Research Papers in Economics.9 indexed citations
15.
Aguiar, Mark & Erik Hurst. (2007). Measuring Trends in Leisure: The Allocation of Time Over Five Decades. The Quarterly Journal of Economics. 122(3). 969–1006.628 indexed citations breakdown →
16.
Aguiar, Mark & Erik Hurst. (2005). Consumption Versus Expenditure. SSRN Electronic Journal.34 indexed citations
Aguiar, Mark & Gita Gopinath. (2005). Defaultable debt, interest rates and the current account. Journal of International Economics. 69(1). 64–83.485 indexed citations breakdown →
19.
Aguiar, Mark & Erik Hurst. (2005). Consumption versus Expenditure. Journal of Political Economy. 113(5). 919–948.496 indexed citations breakdown →
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.