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.
How to Conduct Your Own Survey
19961.2k citationsSeymour Sudman et al.Journal of Marketing Researchprofile →
Countries citing papers authored by Seymour Sudman
Since
Specialization
Citations
This map shows the geographic impact of Seymour Sudman'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 Seymour Sudman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seymour Sudman more than expected).
This network shows the impact of papers produced by Seymour Sudman. 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 Seymour Sudman. The network helps show where Seymour Sudman may publish in the future.
Co-authorship network of co-authors of Seymour Sudman
This figure shows the co-authorship network connecting the top 25 collaborators of Seymour Sudman.
A scholar is included among the top collaborators of Seymour Sudman 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 Seymour Sudman. Seymour Sudman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sudman, Seymour. (1998). Survey Research and Ethics. ACR North American Advances.4 indexed citations
4.
Sudman, Seymour, et al.. (1996). Thinking about Answers: The Application of Cognitive Process to Survey Methodology. Journal of Marketing Research. 33(3). 373–373.653 indexed citations breakdown →
5.
O'Rourke, Diane, Timothy P. Johnson, Richard B. Warnecke, et al.. (1995). Cultural and gender differences in the response editing of health survey questions.. 1069–1074.1 indexed citations
6.
Cramer, Duncan, Paul P. Biemer, Robert M. Groves, et al.. (1993). Measurement Errors in Surveys. British Journal of Sociology. 44(4). 716–716.7 indexed citations
7.
Bickart, Barbara, Geeta Menon, Seymour Sudman, & Johnny Blair. (1992). Context Effects in Proxy Judgments. ACR North American Advances.2 indexed citations
8.
Viswanathan, Madhubalan & Seymour Sudman. (1992). Maximum versus meaningful discrimination in scale responses : a perspective on the optimal number of response categories to use in a scale. BEBR 92-0136. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign).1 indexed citations
9.
Bickart, Barbara, Johnny Blair, Geeta Menon, & Seymour Sudman. (1990). Cognitive Aspects of Proxy Reporting of Behvior. ACR North American Advances.8 indexed citations
10.
Shapiro, Martin F., Rodney A. Hayward, H. E. Freeman, Seymour Sudman, & Christopher R. Corey. (1989). Out-of-pocket payments and use of care for serious and minor symptoms. Results of a national survey.. PubMed. 149(7). 1645–8.16 indexed citations
11.
Rossi, Peter H., Norman M. Bradburn, & Seymour Sudman. (1989). Polls and Surveys: Understanding What they Tell Us. Journal of the American Statistical Association. 84(408). 1093–1093.99 indexed citations
Upah, Gregory D. & Seymour Sudman. (1981). The Consumer Expenditure Survey: Prospects For Consumer Research. ACR North American Advances.1 indexed citations
King, Benjamin F., Seymour Sudman, & Norman M. Bradburn. (1976). Response Effects in Surveys: A Review and Synthesis.. Journal of the American Statistical Association. 71(353). 246–246.454 indexed citations breakdown →
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.