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 multi-group analysis of online survey respondent data quality: Comparing a regular USA consumer panel to MTurk samples
2016315 citationsScott M. Smith, Catherine A. Roster et al.profile →
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 Gerald Albaum'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 Gerald Albaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Albaum more than expected).
This network shows the impact of papers produced by Gerald Albaum. 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 Gerald Albaum. The network helps show where Gerald Albaum may publish in the future.
Co-authorship network of co-authors of Gerald Albaum
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Albaum.
A scholar is included among the top collaborators of Gerald Albaum 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 Gerald Albaum. Gerald Albaum is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Albaum, Gerald, Catherine A. Roster, & Scott M. Smith. (2012). A Cross National Study of Topic Sensitivity: Implications for Web-Based Surveys. Journal of Marketing Development and Competitiveness. 6(5). 71–82.4 indexed citations
3.
Albaum, Gerald, et al.. (2004). Public perceptions of direct selling: an international perspective. WestminsterResearch (University of Westminster).9 indexed citations
Fox, Karen, et al.. (1993). Consumer Panels: a Review of Characteristics and Use in Consumer Behavior Research. ACR European Advances.2 indexed citations
11.
Albaum, Gerald, et al.. (1993). Exploring Country-Of-Origin Perceptions By Multidimensional Scaling. ACR European Advances.1 indexed citations
12.
Peterson, Robert A., Gerald Albaum, & George Kozmetsky. (1986). The Public's Definition of Small Business. Journal of Small Business Management. 24. 63.28 indexed citations
13.
Best, Roger J., Del I. Hawkins, & Gerald Albaum. (1979). The Effect of Varying Response Intervals on the Stability of Factor Solutions of Rating Scale Data. ACR North American Advances.3 indexed citations
14.
Best, Roger J., Del I. Hawkins, & Gerald Albaum. (1977). Reliability of Measured Beliefs in Consumer Research. ACR North American Advances.2 indexed citations
15.
Best, Roger J., Del I. Hawkins, & Gerald Albaum. (1976). The Role of Random Weights and Reliability in the Assessment of Multiattribute Attitude Models. ACR North American Advances.2 indexed citations
16.
Albaum, Gerald, et al.. (1975). Effects of Polarity of Semantic Differential Scales in Consumer Research. ACR North American Advances.4 indexed citations
Albaum, Gerald. (1962). A new approach to the information function in marketing. University Microfilms eBooks.2 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.