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 model of consumer perceptions and store loyalty intentions for a supermarket retailer
Countries citing papers authored by Dick R. Wittink
Since
Specialization
Citations
This map shows the geographic impact of Dick R. Wittink'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 Dick R. Wittink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick R. Wittink more than expected).
This network shows the impact of papers produced by Dick R. Wittink. 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 Dick R. Wittink. The network helps show where Dick R. Wittink may publish in the future.
Co-authorship network of co-authors of Dick R. Wittink
This figure shows the co-authorship network connecting the top 25 collaborators of Dick R. Wittink.
A scholar is included among the top collaborators of Dick R. Wittink 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 Dick R. Wittink. Dick R. Wittink 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.
Wittink, Dick R., Andrew T. Ching, Xiaojing Dong, et al.. (2005). Understanding Firm, Physician and Consumer Choice Behavior in the Health Care Industry. 16. 293–308.1 indexed citations
Hanssens, Dominique M., Peter S. H. Leeflang, & Dick R. Wittink. (2005). Market response models and marketing practice. Applied Stochastic Models in Business and Industry. 21(4-5). 423–434.27 indexed citations
4.
Fraenkel, Liana, Dick R. Wittink, John Concato, & Terri R. Fried. (2004). Are preferences for cyclooxygenase-2 inhibitors influenced by the certainty effect?. PubMed. 31(3). 591–3.18 indexed citations
5.
Heerde, Harald J. van, Peter S. H. Leeflang, & Dick R. Wittink. (2003). How promotions work: Evolutionary model building of SCAN*PRO. Data Archiving and Networked Services (DANS). 54(3). 198–220.1 indexed citations
6.
Gupta, Sachin, Harald J. van Heerde, & Dick R. Wittink. (2003). Is 3/4 of the Sales Promotion Bump Due to Brand Switching? No, it is 1/3.. SSRN Electronic Journal.2 indexed citations
Wittink, Dick R. & Peter S. H. Leeflang. (1995). Marketing in ontwikkeling. SHILAP Revista de lepidopterología. 69(6). 387–399.1 indexed citations
13.
Wittink, Dick R., et al.. (1993). Dangers in using market-level data for determining promotion effects : working paper. Marketing Science Institute eBooks.3 indexed citations
Montgomery, David B., et al.. (1980). Proceedings of the First ORSA/TIMS Special Interest Conference on Market Measurement and Analysis. Marketing Science Institute eBooks.5 indexed citations
18.
Cattin, Philippe C. & Dick R. Wittink. (1977). Further Beyond Conjoint Measurement: Toward a Comparison of Methods. ACR North American Advances.8 indexed citations
19.
Wittink, Dick R.. (1975). SYSTEMATIC AND RANDOM VARIATION IN THE RELATIONSHIP BETWEEN MARKETING VARIABLES.. Purdue e-Pubs (Purdue University System).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.