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 Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry
Citations per year, relative to Cait Lamberton Cait Lamberton (= 1×)
peers
Giampaolo Viglia
Countries citing papers authored by Cait Lamberton
Since
Specialization
Citations
This map shows the geographic impact of Cait Lamberton'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 Cait Lamberton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cait Lamberton more than expected).
This network shows the impact of papers produced by Cait Lamberton. 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 Cait Lamberton. The network helps show where Cait Lamberton may publish in the future.
Co-authorship network of co-authors of Cait Lamberton
This figure shows the co-authorship network connecting the top 25 collaborators of Cait Lamberton.
A scholar is included among the top collaborators of Cait Lamberton 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 Cait Lamberton. Cait Lamberton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bird, Kelli, Benjamin Castleman, Jeffrey T. Denning, et al.. (2019). Nudging at Scale: Experimental Evidence from FAFSA Completion Campaigns. NBER Working Paper No. 26158.. National Bureau of Economic Research.2 indexed citations
Hmurovic, Jillian & Cait Lamberton. (2017). Does Repeating Prompt Retreating? How the Structure of Initial Charitable Contributions Impacts the Magnitude of Subsequent Support. ACR North American Advances.1 indexed citations
12.
Hmurovic, Jillian, Kelly Goldsmith, & Cait Lamberton. (2016). When Exploding Deals Create Competitive Customers: Understanding the Psychological Consequences of Scarcity Marketing Tactics. ACR North American Advances.1 indexed citations
13.
Ball, Joan & Cait Lamberton. (2015). Rising Every Time They Fall: the Importance and Determinants of Consumer Resilience. ACR North American Advances.14 indexed citations
14.
Lamberton, Cait, et al.. (2014). Trivializing Compensation and Muddy Linings: When Firm Expenditures to Acknowledge Backfire. ACR North American Advances.1 indexed citations
15.
Lamberton, Cait & Kristin Diehl. (2013). Retail Choice Architecture: The Effects of Benefit- and Attribute-Based Assortment Organization on Consumer Perceptions and Choice. SSRN Electronic Journal.50 indexed citations
16.
Lamberton, Cait, et al.. (2013). Measuring Empathetic Care: Development and Validation of a Self-Report Scale. SSRN Electronic Journal.2 indexed citations
17.
Norton, David A., Cait Lamberton, & Rebecca Walker Reczek. (2013). The Devil You (Don’t) Know: Interpersonal Ambiguity and Inference Making in Competitive Contexts. SSRN Electronic Journal.1 indexed citations
18.
Reczek, Rebecca Walker, Cait Lamberton, & Peter West. (2012). Beyond the 'Like' Button: The Impact of Mere Virtual Presence on Brand Evaluations and Purchase Intentions in Social Media Settings. SSRN Electronic Journal.66 indexed citations
Lamberton, Cait & Kelly L. Haws. (2009). Lines in the Sand: The Role of Motivated Categorization in the Pursuit of Self-Control Goals. SSRN Electronic Journal.5 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.