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.
Globalization and the Gains From Variety
20061.5k citationsDavid E. Weinstein et al.profile →
On the Costs of a Bank‐Centered Financial System: Evidence from the Changing Main Bank Relations in Japan
1998642 citationsDavid E. Weinstein, Yishay Yafehprofile →
The Impact of the 2018 Tariffs on Prices and Welfare
2019320 citationsMary Amiti, Stephen J. Redding et al.profile →
How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data
2017225 citationsMary Amiti, David E. Weinsteinprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by David E. Weinstein
Since
Specialization
Citations
This map shows the geographic impact of David E. Weinstein'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 David E. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Weinstein more than expected).
Fields of papers citing papers by David E. Weinstein
This network shows the impact of papers produced by David E. Weinstein. 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 David E. Weinstein. The network helps show where David E. Weinstein may publish in the future.
Co-authorship network of co-authors of David E. Weinstein
This figure shows the co-authorship network connecting the top 25 collaborators of David E. Weinstein.
A scholar is included among the top collaborators of David E. Weinstein 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 David E. Weinstein. David E. Weinstein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Amiti, Mary & David E. Weinstein. (2013). How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data. RePEc: Research Papers in Economics.2 indexed citations
Weinstein, David E.. (1999). Drawing Conclusions: Editorial Cartoonists Consider Hillary Rodham Clinton. Journalism & Mass Communication Quarterly. 24(4). 171.1 indexed citations
13.
Lawrence, Robert Z. & David E. Weinstein. (1999). Trade and Growth: Import-Led or Export-Led? Evidence From Japan and Korea. National Bureau of Economic Research.17 indexed citations
Davis, Donald R. & David E. Weinstein. (1996). Empirical Tests of the Factor Abundance Theory: What Do They Tell Us?. Eastern Economic Journal. 22(4). 433–440.2 indexed citations
16.
Weinstein, David E., et al.. (1995). Growth, Economies of Scale, and Targeting in Japan (1955-1990). SSRN Electronic Journal.53 indexed citations
17.
Weinstein, David E. & Yishay Yafeh. (1994). On the Costs of a Bank Centered Financial System: Evidence from the Changing Main Bank Relations in Japan. SSRN Electronic Journal.38 indexed citations
18.
Weinstein, David E., et al.. (1994). The Miti Myth. SSRN Electronic Journal.1 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.