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.
Web Survey Design and Administration
2001511 citationsMick P. Couper, Michael W. Traugott et al.Public Opinion Quarterlyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael W. Traugott
Since
Specialization
Citations
This map shows the geographic impact of Michael W. Traugott'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 Michael W. Traugott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Traugott more than expected).
Fields of papers citing papers by Michael W. Traugott
This network shows the impact of papers produced by Michael W. Traugott. 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 Michael W. Traugott. The network helps show where Michael W. Traugott may publish in the future.
Co-authorship network of co-authors of Michael W. Traugott
This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Traugott.
A scholar is included among the top collaborators of Michael W. Traugott 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 Michael W. Traugott. Michael W. Traugott is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rahim, Hanan F. Abdul, Abdoulaye Diop, Kien Le, et al.. (2012). Annual Omnibus Survey : A survey of life in Qatar 2012. Qatar University QSpace (Qatar University).4 indexed citations
3.
Traugott, Michael W. & Christopher Wlezien. (2009). The Dynamics of Poll Performance During the 2008 Presidential Nomination Contest. SSRN Electronic Journal.1 indexed citations
Herrnson, Paul S., Richard G. Niemi, Michael J. Hanmer, et al.. (2006). The importance of usability testing of voting systems. 3–3.13 indexed citations
Belli, Robert F., Michael W. Traugott, & Matthew N. Beckmann. (2001). What Leads to Voting Overreports? Contrasts of Overreporters to Validated Voters and Admitted Nonvoters in the American National Election Studies. Journal of Official Statistics. 17(4). 479–498.116 indexed citations
11.
Couper, Mick P., et al.. (2001). Web Survey Design and Administration. Public Opinion Quarterly. 65(2). 230–253.511 indexed citations breakdown →
Stoffle, Richard W., et al.. (1988). The Superconducting Super Collider at the Stockbridge, Michigan Site: Community Support and Land Acquisition.. UA Campus Repository (The University of Arizona).3 indexed citations
18.
Stoffle, Richard W., et al.. (1987). Social assessment of high technology: The Superconducting Super Collider in Southeast Michigan. Deep Blue (University of Michigan).4 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.