Wayne S. DeSarbo
Impact in
- Marketing top 0.05%
- Consumer Market Behavior and Pricing
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
Papers in
-
- Wine Industry and Tourism 22
- Marketing 120
- Consumer Market Behavior and Pricing 104
- Consumer Behavior in Brand Consumption and Identification 22
- Co-authors
- Richard L. OliverKamel JedidiVenkatram RamaswamyIndrajit SinhaMichel WedelMichael SongJ. Douglas CarrollWilliam T. Robinson
- Journals
- Psychometrika (32 papers)Journal of Marketing Research (26 papers)Marketing Letters (18 papers)Marketing Science (10 papers)Journal of Classification (9 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Wayne S. DeSarbo
266 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Marketing 4.0k
- Tourism, Leisure and Hospitality Management 419
- Organizational Behavior and Human Resource Management 2.2k
- General Decision Sciences 289
- Computational Mathematics 81
Countries citing papers authored by Wayne S. DeSarbo
This map shows the geographic impact of Wayne S. DeSarbo'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 Wayne S. DeSarbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne S. DeSarbo more than expected).
Fields of papers citing papers by Wayne S. DeSarbo
This network shows the impact of papers produced by Wayne S. DeSarbo. 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 Wayne S. DeSarbo. The network helps show where Wayne S. DeSarbo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne S. DeSarbo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Strategic Capabilities and Radical Innovation: An Empirical Study in Three Countries | 2008 | 5 |
| 2 | A Clusterwise Bilinear Multidimensional Scaling Methodology for Simultaneous Segmentation and Positioning | 2008 | 0 |
| 3 | Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis | 2005 | 2 |
| 4 | Evolutionary Preference/Utility Functions: A Dynamic Perspective | 2005 | 1 |
| 5 | Customer Value Analysis in a Heterogeneous Market | 2001 | 2 |
| 6 | A Latent Structure Double Hurdle Regression Model for Exploring Heterogeneity in Consumer Search Patterns | 1999 | 1 |
| 7 | Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation | 1998 | 3 |
| 8 | An Exponential-Family Multidimensional Scaling Mixture Methodology. | 1996 | 1 |
| 9 | CRISP : Customer response-based iterative segmentation procedures for response modeling in direct marketing : technical working paper | 1994 | 0 |
| 10 | A Disaggregate Negative Binomial Regression Procedure for Count Data Analysis | 1994 | 2 |
| 11 | An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data | 1993 | 14 |
| 12 | A Latent Class Procedure for the Structural Analysis of Two-Way Compositional Data | 1993 | 1 |
| 13 | A Simulated Annealing Methodology for Clusterwise Linear Regression | 1989 | 2 |
| 14 | A New Stochastic Ultrametric Tree Unfolding Methodology for Assessing Competitive Market Structure and Deriving Market Segments | 1988 | 0 |
| 15 | Selecting Competitive Tactics: Try a Strategy Map | 1987 | 6 |
| 16 | Strategy Maps: A Spatial Representation of Intra-Industry Competitive Strategy | 1987 | 1 |
| 17 | The Wandering Ideal Point Model: A Probabilistic Multidimensional Unfolding Model for Paired Comparisons Data | 1986 | 3 |
| 18 | Alternating Least Squares Optimal Variable Weighting Algorithms for Ultrametric and Additive Tree Representations | 1986 | 1 |
| 19 | A Spatial Choice Model | 1983 | 1 |
| 20 | Three-way unfolding and situational dependence in consumer preference analysis | 1978 | 5 |
About Wayne S. DeSarbo
Wayne S. DeSarbo is a scholar working on Tourism, Leisure and Hospitality Management, Marketing, Statistics and Probability, General Decision Sciences and Economics and Econometrics, having authored 284 papers that have together received 10.4k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (104 papers), Economic and Environmental Valuation (68 papers), Sensory Analysis and Statistical Methods (63 papers), Innovation Diffusion and Forecasting (25 papers), Advanced Statistical Methods and Models (24 papers), Bayesian Methods and Mixture Models (23 papers), Wine Industry and Tourism (22 papers) and Consumer Behavior in Brand Consumption and Identification (22 papers). The work is most often cited by research in Marketing (4.0k citations), Tourism, Leisure and Hospitality Management (419 citations), Organizational Behavior and Human Resource Management (2.2k citations), General Decision Sciences (289 citations) and Computational Mathematics (81 citations). Wayne S. DeSarbo has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Richard L. Oliver, Kamel Jedidi, Venkatram Ramaswamy, Indrajit Sinha, Michel Wedel, Michael Song, J. Douglas Carroll, William T. Robinson, David J. Reibstein and C. Anthony Di Benedetto. Their work appears in journals such as Psychometrika, Journal of Marketing Research, Marketing Letters, Marketing Science and Journal of Classification.
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.