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.
Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach
19961.9k citationsJohn DiNardo, Thomas Lemieux et al.profile →
Skill‐Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles
2002955 citationsDavid Card, John DiNardoJournal of Labor Economicsprofile →
How Much Do Immigration and Trade Affect Labor Market Outcomes?
1997503 citationsGeorge J. Borjas, Richard B. Freeman et al.Brookings Papers on Economic Activityprofile →
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 John DiNardo'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 John DiNardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John DiNardo more than expected).
This network shows the impact of papers produced by John DiNardo. 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 John DiNardo. The network helps show where John DiNardo may publish in the future.
Co-authorship network of co-authors of John DiNardo
This figure shows the co-authorship network connecting the top 25 collaborators of John DiNardo.
A scholar is included among the top collaborators of John DiNardo 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 John DiNardo. John DiNardo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
DiNardo, John & David S. Lee. (2010). Program Evaluation and Research Designs. NBER Working Paper No. 16016.. National Bureau of Economic Research.4 indexed citations
5.
Bacolod, Marigee, John DiNardo, & Mireille Jacobson. (2009). Beyond Incentives: Do Schools use Accountability Rewards Productively? NBER Working Paper No. 14775.. National Bureau of Economic Research.6 indexed citations
6.
Bacolod, Marigee, John DiNardo, & Mireille Jacobson. (2009). Beyond Incentives: Do Schools Use Accountability Rewards Productively?. RePEc: Research Papers in Economics.2 indexed citations
DiNardo, John & David S. Lee. (2003). Do Unions Cause Business Failures.3 indexed citations
10.
Butcher, Kristin F., et al.. (2002). The Immigrant and Native-Born Wage Distributions: Evidence from United States Censuses.21 indexed citations
11.
Card, David & John DiNardo. (2002). Skill‐Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles. Journal of Labor Economics. 20(4). 733–783.955 indexed citations breakdown →
Card, David, et al.. (1998). The More Things Change: Immigrants and the Children of Immigrants in the 1940's, the 1970's, and the 1990's. National Bureau of Economic Research. 227–270.83 indexed citations
Borjas, George J., Richard B. Freeman, Lawrence F. Katz, John DiNardo, & John M. Abowd. (1997). How Much Do Immigration and Trade Affect Labor Market Outcomes?. Brookings Papers on Economic Activity. 1997(1). 1–1.503 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.