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.
Customer Satisfaction, Market Share, and Profitability: Findings from Sweden
19943.4k citationsEugene W. Anderson, Claes Fornell et al.profile →
Customer Satisfaction, Market Share, and Profitability: Findings from Sweden
19941.7k citationsEugene W. Anderson, Claes Fornell et al.profile →
Brands and Branding: Research Findings and Future Priorities
20061.5k citationsKevin Lane Keller, Donald R. LehmannMarketing Scienceprofile →
Task-Dependent Algorithm Aversion
2019725 citationsNoah Castelo, Maarten W. Bos et al.profile →
Revenue Premium as an Outcome Measure of Brand Equity
2003692 citationsKusum L. Ailawadi, Donald R. Lehmann et al.profile →
The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice
1997596 citationsCarl F. Mela, Donald R. Lehmann et al.profile →
Valuing Customers
2004592 citationsDonald R. Lehmann et al.profile →
The Role of Hubs in the Adoption Process
2009478 citationsJacob Goldenberg, Sangman Han et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Donald R. Lehmann
Since
Specialization
Citations
This map shows the geographic impact of Donald R. Lehmann'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 Donald R. Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald R. Lehmann more than expected).
Fields of papers citing papers by Donald R. Lehmann
This network shows the impact of papers produced by Donald R. Lehmann. 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 Donald R. Lehmann. The network helps show where Donald R. Lehmann may publish in the future.
Co-authorship network of co-authors of Donald R. Lehmann
This figure shows the co-authorship network connecting the top 25 collaborators of Donald R. Lehmann.
A scholar is included among the top collaborators of Donald R. Lehmann 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 Donald R. Lehmann. Donald R. Lehmann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Whitler, Kimberly A., Ryan Krause, & Donald R. Lehmann. (2015). When and How Does Board-Level Marketing Experience Impact Firm Performance?. SSRN Electronic Journal.1 indexed citations
3.
Biswas, Dipayan, Courtney Szocs, Aradhna Krishna, & Donald R. Lehmann. (2014). Something to Chew On: The Effects of Oral Haptics on Mastication, Orosensory Perception, and Calorie Estimation. SSRN Electronic Journal.
4.
Goldenberg, Jacob, et al.. (2009). The Role of Hubs in the Adoption Processes. SSRN Electronic Journal.43 indexed citations
Keller, Punam Anand & Donald R. Lehmann. (2008). "Designing Effective Health Communications: A Meta-Analysis of Experimental Results". ACR North American Advances.5 indexed citations
7.
Zemack‐Rugar, Yael & Donald R. Lehmann. (2007). Reducing Reactance Induced Backlash Responses to Recommendations. ACR North American Advances.6 indexed citations
8.
Keller, Kevin Lane & Donald R. Lehmann. (2006). Brands and Branding: Research Findings and Future Priorities. Marketing Science. 25(6). 740–759.1524 indexed citations breakdown →
9.
Ailawadi, Kusum L., Donald R. Lehmann, & Scott A. Neslin. (2002). A product-market-based measure of brand equity. SSRN Electronic Journal.11 indexed citations
10.
Goldenberg, Jacob, Donald R. Lehmann, & David Mazursky. (1999). The primacy of the idea itself as a predictor of new product success. Marketing Science Institute eBooks.18 indexed citations
11.
Lehmann, Donald R.. (1996). Presidential Address Knowledge Generalization and the Conventions of Consumer Research: a Study in Inconsistency. ACR North American Advances.6 indexed citations
12.
Mela, Carl F., Sandeep Gupta, & Donald R. Lehmann. (1996). The long-term impact of promotion and advertising on consumer brand choice : working paper. Marketing Science Institute eBooks.3 indexed citations
13.
Anderson, Eugene W., Claes Fornell, & Donald R. Lehmann. (1993). Economic consequences of providing quality and customer satisfaction. Marketing Science Institute eBooks.19 indexed citations
14.
Greenleaf, Eric & Donald R. Lehmann. (1991). Causes of Delay in Consumer Decision Making: an Exploratory Study. ACR North American Advances.3 indexed citations
Lehmann, Donald R. & John U. Farley. (1981). Decomposing the Correlation Matrix in Panel Data. ACR North American Advances.1 indexed citations
17.
Lehmann, Donald R.. (1979). Searching For Important Attributes and Appropriate Levels. ACR North American Advances.3 indexed citations
18.
Beckwith, Neil E., Harold H. Kassarjian, & Donald R. Lehmann. (1978). Halo Effects in Marketing Research: Review and Prognosis. ACR North American Advances.61 indexed citations
19.
Lehmann, Donald R.. (1975). Validity and Goodness of Fit in Data Analysis. ACR North American Advances.9 indexed citations
20.
Lehmann, Donald R. & Lyman E. Ostlund. (1974). Consumer Perceptions of Product Warranties: an Exploratory Study. ACR North American Advances.7 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.