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.
The Effects of Product Class Knowledge on Information Search Behavior
19851.5k citationsMerrie BrucksJournal of Consumer Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Merrie Brucks'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 Merrie Brucks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merrie Brucks more than expected).
This network shows the impact of papers produced by Merrie Brucks. 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 Merrie Brucks. The network helps show where Merrie Brucks may publish in the future.
Co-authorship network of co-authors of Merrie Brucks
This figure shows the co-authorship network connecting the top 25 collaborators of Merrie Brucks.
A scholar is included among the top collaborators of Merrie Brucks 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 Merrie Brucks. Merrie Brucks is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Brucks, Merrie, et al.. (2017). Beauty and Control in Collecting: How Desire For Control Drives the Aesthetic Pursuit of Complete Collections. ACR North American Advances.1 indexed citations
Trump, Rebecca K. & Merrie Brucks. (2010). Overlap and Dissociation of Mental Representations of Self and Brand. ACR North American Advances.1 indexed citations
Schurr, Paul H. & Merrie Brucks. (1991). Deal Search: an Approach For Computer-Controlled Information Processing Experiments Involving Bargainable Attributes. ACR North American Advances.1 indexed citations
12.
Brucks, Merrie & Valarie A. Zeithaml. (1991). Price and brand name as indicators of quality dimensions. Marketing Science Institute eBooks.29 indexed citations
Costley, Carolyn & Merrie Brucks. (1987). Product Knowledge As an Explanation For Age-Related Differences in Children's Cognitive Responses to Advertising. ACR North American Advances.3 indexed citations
16.
Brucks, Merrie, Marvin E. Goldberg, & Gary Armstrong. (1986). Children's Cognitive Responses to Advertising. ACR North American Advances.6 indexed citations
17.
Brucks, Merrie. (1986). A Typology of Consumer Knowledge Content. ACR North American Advances.66 indexed citations
18.
Brucks, Merrie & Paul H. Schurr. (1985). Decision Making and Information Search in Multiple-Opponent Bargaining. ACR North American Advances.1 indexed citations
19.
Brucks, Merrie. (1985). The Effects of Product Class Knowledge on Information Search Behavior. Journal of Consumer Research. 12(1). 1–1.1520 indexed citations breakdown →
20.
Brucks, Merrie & Andrew A. Mitchell. (1981). Knowledge Structures, Production Systems and Decision Strategies. ACR North American Advances.9 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.