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.
Managing What Consumers Learn from Experience
1989810 citationsStephen J. Hoch, John DeightonJournal of Marketingprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of John Deighton'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 John Deighton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Deighton more than expected).
This network shows the impact of papers produced by John Deighton. 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 John Deighton. The network helps show where John Deighton may publish in the future.
Co-authorship network of co-authors of John Deighton
This figure shows the co-authorship network connecting the top 25 collaborators of John Deighton.
A scholar is included among the top collaborators of John Deighton 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 John Deighton. John Deighton 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.
Deighton, John, Carl F. Mela, & Christine Moorman. (2020). Marketing Thinking and Doing. Journal of Marketing. 85(1). 1–6.18 indexed citations
2.
LaTour, Kathryn A. & John Deighton. (2018). Learning to Become a Taste Expert. Journal of Consumer Research. 46(1). 1–19.38 indexed citations
Deighton, John & Leora Kornfeld. (2010). United Breaks Guitars. SSRN Electronic Journal.3 indexed citations
9.
Deighton, John & Leora Kornfeld. (2009). Slanket: Responding to Snuggie's Market Entry (TN). SSRN Electronic Journal.3 indexed citations
10.
Deighton, John. (2002). How Snapple Got Its Juice Back. Harvard business review. 80(1). 47–52.19 indexed citations
11.
Deighton, John. (1999). Special Session Summary Computers As Social Actors. ACR North American Advances.1 indexed citations
12.
Blattberg, Robert C. & John Deighton. (1996). Manage marketing by the customer equity test.. PubMed. 74(4). 136–44.109 indexed citations
13.
Deighton, John. (1995). Interactive Marketing Technologies: Implications For Consumer Research. ACR North American Advances.1 indexed citations
14.
Deighton, John. (1992). Sincerity, Sham and Satisfaction in Marketplace Performance. ACR North American Advances.3 indexed citations
15.
Hoch, Stephen J. & John Deighton. (1989). Managing What Consumers Learn from Experience. Journal of Marketing. 53(2). 1–20.810 indexed citations breakdown →
16.
Deighton, John. (1988). Two Meanings For Transformation. ACR North American Advances.6 indexed citations
17.
Deighton, John. (1986). Persuasion As Directed Inference. ACR North American Advances.2 indexed citations
18.
Deighton, John. (1985). Rhetorical Strategies in Advertising. ACR North American Advances.28 indexed citations
Deighton, John. (1983). How to Solve Problems That Don't Matter: Some Heuristics For Uninvolved Thinking. 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.