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.
Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime: Comment
Countries citing papers authored by Justin McCrary
Since
Specialization
Citations
This map shows the geographic impact of Justin McCrary'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 Justin McCrary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin McCrary more than expected).
This network shows the impact of papers produced by Justin McCrary. 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 Justin McCrary. The network helps show where Justin McCrary may publish in the future.
Co-authorship network of co-authors of Justin McCrary
This figure shows the co-authorship network connecting the top 25 collaborators of Justin McCrary.
A scholar is included among the top collaborators of Justin McCrary 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 Justin McCrary. Justin McCrary is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Bartlett, Robert P., Justin McCrary, & Maureen O’Hara. (2024). Tiny trades, big questions: Fractional shares. Journal of Financial Economics. 157. 103836–103836.2 indexed citations
2.
Lee, David, Justin McCrary, Marcelo J. Moreira, & Jack R. Porter. (2020). Valid t-ratio Inference for IV. arXiv (Cornell University).1 indexed citations
3.
McCrary, Justin, et al.. (2019). A Reconsideration of Copyright's Term. eYLS (Yale Law School). 71. 351.3 indexed citations
4.
McCrary, Justin, et al.. (2018). Unmarked? Criminal Record Clearing and Employment Outcomes. The Journal of Criminal Law and Criminology (1973-). 108(1). 1–72.14 indexed citations
McCrary, Justin, et al.. (2013). Do Sexually Violent Predator Laws Violate Double Jeopardy or Substantive Due Process? An Empirical Inquiry. Brooklyn law review. 78(4). 1391.1 indexed citations
McCrary, Justin, et al.. (2012). General Equilibrium Effects of Prison on Crime: Evidence from International Comparisons. eYLS (Yale Law School). 2. 165.5 indexed citations
12.
Cook, Philip J., Jens Ludwig, & Justin McCrary. (2011). Controlling Crime: Strategies and Tradeoffs. RePEc: Research Papers in Economics.78 indexed citations
13.
McCrary, Justin & Aaron Chalfin. (2011). The Effect of Police on Crime: New Evidence from U.S. Cities, 1960-2008. eScholarship (California Digital Library).2 indexed citations
MacCoun, Robert J., et al.. (2008). Do Citizens Know Whether Their State Has Decriminalized Marijuana? Assessing the Perceptual Component of Deterrence Theory. SSRN Electronic Journal.2 indexed citations
18.
Royer, Heather & Justin McCrary. (2006). The Effect of Maternal Education on Fertility and Infant Health: Evidence From School Entry Policies. American Economic Review. 100(1). 158–195.1 indexed citations
19.
McCrary, Justin & Heather Royer. (2006). The Effect of Maternal Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth. SSRN Electronic Journal.67 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.