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.
Is Voting Contagious? Evidence from Two Field Experiments
Countries citing papers authored by David W. Nickerson
Since
Specialization
Citations
This map shows the geographic impact of David W. Nickerson'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 David W. Nickerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Nickerson more than expected).
Fields of papers citing papers by David W. Nickerson
This network shows the impact of papers produced by David W. Nickerson. 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 David W. Nickerson. The network helps show where David W. Nickerson may publish in the future.
Co-authorship network of co-authors of David W. Nickerson
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Nickerson.
A scholar is included among the top collaborators of David W. Nickerson 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 David W. Nickerson. David W. Nickerson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jonge, Chad Kiewiet de & David W. Nickerson. (2014). Beliefs about Ballot Monitoring in Latin America. SSRN Electronic Journal.2 indexed citations
5.
Bennion, Elizabeth & David W. Nickerson. (2014). Cheap, But Still Not Effective: An Experiment Showing that Indiana's Online Registration System Fails to Make Email an Effective Way to Register New Voters. IUScholarWorks (Indiana University).2 indexed citations
6.
Waismel-Manor, Israel, et al.. (2013). The Role of Access to Ballots in Gotv Campaigns: Evidence from a Field Experiment. SSRN Electronic Journal.1 indexed citations
Nickerson, David W. & Todd Rogers. (2011). Do You Have a Voting Plan? Implementation Intentions, Voter Turnout, and Organic Plan Making.9 indexed citations
Green, Donald P., Alan S. Gerber, & David W. Nickerson. (2008). Getting Out the Vote in Local Elections: Results from Six Door-to-Door Canvassing Experiments. SSRN Electronic Journal.121 indexed citations
12.
Nickerson, David W.. (2007). Does Email Boost Turnout?. Quarterly Journal of Political Science. 2(4). 369–379.80 indexed citations
Gerber, Alan S., Donald P. Green, & David W. Nickerson. (2003). The challenge of bringing voter mobilization to scale: An evaluation of youth vote 2002 phone banking campaigns. RePEc: Research Papers in Economics.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.