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.
Are High-Quality Schools Enough to Increase Achievement Among the Poor? Evidence from the Harlem Children's Zone
2011323 citationsWill Dobbie, Roland G. FryerAmerican Economic Journal Applied Economicsprofile →
The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges
2018306 citationsWill Dobbie, Jacob Goldin et al.American Economic Reviewprofile →
Racial Bias in Bail Decisions*
2018200 citationsDavid Arnold, Will Dobbie et al.The Quarterly Journal of Economicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Will Dobbie'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 Will Dobbie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Dobbie more than expected).
This network shows the impact of papers produced by Will Dobbie. 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 Will Dobbie. The network helps show where Will Dobbie may publish in the future.
Co-authorship network of co-authors of Will Dobbie
This figure shows the co-authorship network connecting the top 25 collaborators of Will Dobbie.
A scholar is included among the top collaborators of Will Dobbie 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 Will Dobbie. Will Dobbie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dobbie, Will, Andres Liberman, Daniel Paravisini, & Vikram Pathania. (2021). Measuring Bias in Consumer Lending. The Review of Economic Studies. 88(6). 2799–2832.60 indexed citations
Dobbie, Will, Jacob Goldin, & Crystal Yang. (2018). The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges. American Economic Review. 108(2). 201–240.306 indexed citations breakdown →
12.
Arnold, David, Will Dobbie, & Crystal Yang. (2018). Racial Bias in Bail Decisions*. The Quarterly Journal of Economics. 133(4). 1885–1932.200 indexed citations breakdown →
13.
Dobbie, Will, Benjamin J. Keys, & Neale Mahoney. (2017). Credit Market Consequences of Credit Flag Removals. SSRN Electronic Journal.2 indexed citations
14.
Arnold, David, Will Dobbie, & Crystal Yang. (2017). Racial Bias in Bail Decisions. RePEc: Research Papers in Economics.2 indexed citations
Dobbie, Will & Roland G. Fryer. (2011). Exam High Schools and Academic Achievement: Evidence from New York City. NBER Working Paper No. 17286.. National Bureau of Economic Research.12 indexed citations
17.
Dobbie, Will & Roland G. Fryer. (2011). Getting beneath the Veil of Effective Schools: Evidence from New York City. NBER Working Paper No. 17632.. National Bureau of Economic Research.19 indexed citations
Dobbie, Will & Roland G. Fryer. (2011). Are High-Quality Schools Enough to Increase Achievement Among the Poor? Evidence from the Harlem Children's Zone. American Economic Journal Applied Economics. 3(3). 158–187.323 indexed citations breakdown →
20.
Dobbie, Will & Roland G. Fryer. (2009). Are High Quality Schools Enough to Close the Achievement Gap? Evidence from a Social Experiment in Harlem. NBER Working Paper No. 15473.. National Bureau of Economic Research.24 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.