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.
Does education improve citizenship? Evidence from the United States and the United Kingdom
Countries citing papers authored by Kevin Milligan
Since
Specialization
Citations
This map shows the geographic impact of Kevin Milligan'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 Kevin Milligan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Milligan more than expected).
This network shows the impact of papers produced by Kevin Milligan. 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 Kevin Milligan. The network helps show where Kevin Milligan may publish in the future.
Co-authorship network of co-authors of Kevin Milligan
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Milligan.
A scholar is included among the top collaborators of Kevin Milligan 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 Kevin Milligan. Kevin Milligan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Coile, Courtney, Kevin Milligan, & David A. Wise. (2018). Introduction to "Social Security Programs and Retirement around the World: Working Longer". NBER Chapters. 1–32.2 indexed citations
7.
Milligan, Kevin & Tammy Schirle. (2016). The Pressing Question: Does CPP Expansion Help Low Earners?. RePEc: Research Papers in Economics.1 indexed citations
8.
Coile, Courtney, Kevin Milligan, & David A. Wise. (2016). Introduction to "Social Security Programs and Retirement Around the World: The Capacity to Work at Older Ages". NBER Chapters. 1–33.4 indexed citations
Milligan, Kevin & Michael Smart. (2014). Taxation and Top Incomes in Canada. SSRN Electronic Journal.1 indexed citations
11.
Milligan, Kevin & David A. Wise. (2014). Health and Work at Older Ages: Using Mortality to Assess the Capacity to Work across Countries. RePEc: Research Papers in Economics.2 indexed citations
Barrett, Garry F., Peter Levell, & Kevin Milligan. (2013). A Comparison of Micro and Macro Expenditure Measures Across Countries Using Differing Survey Methods. SSRN Electronic Journal.1 indexed citations
Milligan, Kevin & Mark Stabile. (2008). Do Child Tax Benefits Affect the Wellbeing of Children? Evidence from Canadian Child Benefit Expansions. London School of Economics and Political Science Research Online (London School of Economics and Political Science).5 indexed citations
18.
Milligan, Kevin & Mark Stabile. (2008). Do Child Tax Benefits Affect the Wellbeing of Children? Evidence from Canadian Child Benefit Expansions. NBER Working Paper No. 14624.. National Bureau of Economic Research.24 indexed citations
19.
Milligan, Kevin, et al.. (2006). What happens to household portfolios after retirement. SSRN Electronic Journal.2 indexed citations
20.
Milligan, Kevin & Michael Smart. (2000). Restricting foreign investment: Estimating the costs of Canada’s foreign property rule∗.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.