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.
A Consumer Values Orientation for Materialism and Its Measurement: Scale Development and Validation
19922.4k citationsMarsha L. Richins, Scott DawsonJournal 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 Scott Dawson'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 Scott Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Dawson more than expected).
This network shows the impact of papers produced by Scott Dawson. 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 Scott Dawson. The network helps show where Scott Dawson may publish in the future.
Co-authorship network of co-authors of Scott Dawson
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Dawson.
A scholar is included among the top collaborators of Scott Dawson 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 Scott Dawson. Scott Dawson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bloch, Peter, Nancy M. Ridgway, & Scott Dawson. (1994). The shopping mall as consumer habitat. Journal of Retailing. 70(1). 23–42.444 indexed citations
8.
Dawson, Scott, Dale J. Blahna, & John E. Keith. (1993). Expected and actual regional economic impacts of Great Basin National Park.. Journal of Park and Recreation Administration. 11(4). 45–59.21 indexed citations
Richins, Marsha L. & Scott Dawson. (1992). A Consumer Values Orientation for Materialism and Its Measurement: Scale Development and Validation. Journal of Consumer Research. 19(3). 303–303.2370 indexed citations breakdown →
11.
Richins, Marsha L. & Scott Dawson. (1990). Measuring Material Values: a Preliminary Report of Scale Development. ACR North American Advances.60 indexed citations
12.
Dawson, Scott, et al.. (1990). An Empirical Update and Extension of Patronage Behaviors ACRoss the Social Class Hierarchy. ACR North American Advances.7 indexed citations
13.
Dawson, Scott & Gary J. Bamossy. (1990). Isolating the Effect of Non-Economic Factors on the Development of a Consumer Culture: a Comparison of Materialism in the Netherlands and the Unites States. ACR North American Advances.5 indexed citations
Dawson, Scott, et al.. (1987). Status Recognition in the 1980S: Invidious Distinction Revisited. ACR North American Advances.34 indexed citations
18.
Dawson, Scott & Eric R. Spangenberg. (1987). Television and the Elderly: Chronological Age As a Predictor of Viewing Habits and Attitudes Toward Advertising. ACR North American Advances.1 indexed citations
Dawson, Scott & Melanie Wallendorf. (1985). Associational Involvement: an Intervening Concept Between Social Class and Patronage Behavior. 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.