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.
Development of a Scale to Measure Consumer Skepticism Toward Advertising
1998720 citationsCarl Obermiller, Eric R. Spangenbergprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Carl Obermiller
Since
Specialization
Citations
This map shows the geographic impact of Carl Obermiller'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 Carl Obermiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Obermiller more than expected).
This network shows the impact of papers produced by Carl Obermiller. 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 Carl Obermiller. The network helps show where Carl Obermiller may publish in the future.
Co-authorship network of co-authors of Carl Obermiller
This figure shows the co-authorship network connecting the top 25 collaborators of Carl Obermiller.
A scholar is included among the top collaborators of Carl Obermiller 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 Carl Obermiller. Carl Obermiller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Obermiller, Carl. (2002). Brand Loyalty Measurement Made Easy: A Preference-Behavior Model. Journal of Small Business Strategy. 13(1). 32–44.3 indexed citations
Obermiller, Carl. (1993). Comments of Evolving Country of Origin Research. ACR North American Advances. 20(1). 690–691.2 indexed citations
10.
Obermiller, Carl, et al.. (1990). Feelings About Feeling-State Research: a Search For Harmony. ACR North American Advances.5 indexed citations
11.
Jacobson, Robert & Carl Obermiller. (1989). The Formation of Reference Price. ACR North American Advances.5 indexed citations
12.
Obermiller, Carl & Eric R. Spangenberg. (1989). Exploring the Effects of Country of Origin Labels: an Information Processing Framework. ACR North American Advances.150 indexed citations
13.
Obermiller, Carl. (1988). When Do Consumers Infer Quality From Price. ACR North American Advances.16 indexed citations
14.
Bitner, Mary Jo & Carl Obermiller. (1985). The Elaboration Likelihood Model: Limitations and Extensions in Marketing. ACR North American Advances.68 indexed citations
15.
Obermiller, Carl & John J. Wheatley. (1985). Beliefs in Quality Differences and Brand Choice. ACR North American Advances.5 indexed citations
16.
Obermiller, Carl & John J. Wheatley. (1984). Price Effects on Choice and Perceptions Under Varying Conditions of Experience, Information, and Beliefs in Quality Differences. ACR North American Advances.11 indexed citations
17.
Miniard, Paul W., Carl Obermiller, & Thomas J. Page. (1982). Predicting Behavior With Intentions: a Comparison of Conditional Versus Direct Measures. ACR North American Advances.11 indexed citations
18.
Leavitt, Clark, Anthony G. Greenwald, & Carl Obermiller. (1981). What Is Low Involvement Low In. ACR North American Advances.28 indexed citations
19.
Sawyer, Alan G., et al.. (1980). Can Seller/Customer Interaction and Influence Be Studied in the Laboratory?. ACR North American Advances.1 indexed citations
20.
Obermiller, Carl. (1980). Generating Product Ideas: a Modification of the Dual Questioning Technique. ACR North American Advances.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.