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.
New Trade Models, Same Old Gains?
2012908 citationsCostas Arkolakis, Arnaud Costinot et al.American Economic Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Arnaud Costinot
Since
Specialization
Citations
This map shows the geographic impact of Arnaud Costinot'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 Arnaud Costinot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Costinot more than expected).
This network shows the impact of papers produced by Arnaud Costinot. 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 Arnaud Costinot. The network helps show where Arnaud Costinot may publish in the future.
Co-authorship network of co-authors of Arnaud Costinot
This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Costinot.
A scholar is included among the top collaborators of Arnaud Costinot 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 Arnaud Costinot. Arnaud Costinot is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Costinot, Arnaud & Iván Werning. (2018). Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation. National Bureau of Economic Research.2 indexed citations
Donaldson, Dave, et al.. (2017). Sector-Level Economies of Scale: Estimation Using Trade Data. RePEc: Research Papers in Economics.1 indexed citations
10.
Costinot, Arnaud, Dave Donaldson, Margaret Kyle, & Heidi Williams. (2016). The More We Die, The More We Sell? A Simple Test of the Home-Market Effect. HAL (Le Centre pour la Communication Scientifique Directe).40 indexed citations
11.
Costinot, Arnaud, Dave Donaldson, Jonathan Vogel, & Iván Werning. (2015). Comparative Advantage and Optimal Trade Policy*. The Quarterly Journal of Economics. 130(2). 659–702.68 indexed citations
Costinot, Arnaud & Dave Donaldson. (2011). How Large Are the Gains from Economic Integration? Theory and Evidence from U.S. Agriculture, 1880-1997. SSRN Electronic Journal.3 indexed citations
16.
Costinot, Arnaud, Guido Lorenzoni, & Iván Werning. (2011). A Theory of Capital Controls as Dynamic Terms-of-Trade Manipulation. SSRN Electronic Journal.6 indexed citations
17.
Arkolakis, Costas, Arnaud Costinot, & Andrés Rodrı́guez-Clare. (2010). Gains From Trade under Monopolistic Competition: A Simple Example with Translog Expenditure Functions and Pareto Distributions of Firm-Level Productivity.16 indexed citations
18.
Costinot, Arnaud. (2007). Heterogeneity and Trade. eScholarship (California Digital Library).2 indexed citations
19.
Costinot, Arnaud & Ivana Komunjer. (2007). What Goods Do Countries Trade? New Ricardian Predictions. SSRN Electronic Journal.1 indexed citations
20.
Costinot, Arnaud. (2005). Contract enforcement, division of labor, and the pattern of trade.24 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.