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.
Trends in U.S. Wage Inequality: Revising the Revisionists
20081.4k citationsMelissa S. Kearney et al.The Review of Economics and Statisticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Melissa S. Kearney
Since
Specialization
Citations
This map shows the geographic impact of Melissa S. Kearney'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 Melissa S. Kearney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa S. Kearney more than expected).
Fields of papers citing papers by Melissa S. Kearney
This network shows the impact of papers produced by Melissa S. Kearney. 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 Melissa S. Kearney. The network helps show where Melissa S. Kearney may publish in the future.
Co-authorship network of co-authors of Melissa S. Kearney
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa S. Kearney.
A scholar is included among the top collaborators of Melissa S. Kearney 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 Melissa S. Kearney. Melissa S. Kearney is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kearney, Melissa S. & Riley Wilson. (2016). The Family Formation Response to a Localized Economic Shock: Evidence from the Fracking Boom. SSRN Electronic Journal.1 indexed citations
Filiz‐Ozbay, Emel, Jonathan Guryan, Kyle Hyndman, Melissa S. Kearney, & Erkut Özbay. (2013). Do Lottery Payments Induce Savings Behavior? Evidence from the Lab∗. RePEc: Research Papers in Economics.2 indexed citations
10.
Kearney, Melissa S. & Phillip B. Levine. (2012). Why Is the Teen Birth Rate in the United States so High and Why Does It Matter? NBER Working Paper No. 17965.. National Bureau of Economic Research.5 indexed citations
11.
Kearney, Melissa S. & Phillip B. Levine. (2012). Explaining Recent Trends in the U.S. Teen Birth Rate. NBER Working Paper No. 17964.. National Bureau of Economic Research.8 indexed citations
12.
Kearney, Melissa S. & Phillip B. Levine. (2011). Income Inequality and Early Non-Marital Childbearing: An Economic Exploration of the. SSRN Electronic Journal.4 indexed citations
13.
Kearney, Melissa S., Peter Tufano, Jonathan Guryan, & Erik Hurst. (2010). Making Savers Winners: An Overview of Prize-Linked Savings Products. National Bureau of Economic Research.3 indexed citations
14.
Guryan, Jonathan & Melissa S. Kearney. (2010). Is Lottery Gambling Addictive?. American Economic Journal Economic Policy. 2(3). 90–110.18 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.