Peter Lenk

3.0k total citations
102 papers, 2.1k citations indexed

About

Peter Lenk is a scholar working on Artificial Intelligence, Marketing and Economics and Econometrics. According to data from OpenAlex, Peter Lenk has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Marketing and 22 papers in Economics and Econometrics. Recurrent topics in Peter Lenk's work include Consumer Market Behavior and Pricing (24 papers), Economic and Environmental Valuation (18 papers) and Bayesian Methods and Mixture Models (17 papers). Peter Lenk is often cited by papers focused on Consumer Market Behavior and Pricing (24 papers), Economic and Environmental Valuation (18 papers) and Bayesian Methods and Mixture Models (17 papers). Peter Lenk collaborates with scholars based in United States, United Kingdom and Netherlands. Peter Lenk's co-authors include Wayne S. DeSarbo, Greg M. Allenby, Martin R. Young, Paul E. Green, Ambar G. Rao, Michel Wedel, Katherine Lawrence, Robert E. Quinn, Rajeev Batra and Timothy J. Gilbride and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Management Science.

In The Last Decade

Peter Lenk

92 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Lenk United States 22 912 792 365 347 334 102 2.1k
Peter Boatwright United States 20 1.0k 1.1× 486 0.6× 155 0.4× 295 0.9× 315 0.9× 52 2.1k
Paul E. Green United States 20 996 1.1× 962 1.2× 226 0.6× 335 1.0× 134 0.4× 38 2.6k
Asim Ansari United States 27 2.1k 2.3× 602 0.8× 272 0.7× 488 1.4× 135 0.4× 47 3.3k
Phillip E. Pfeifer United States 22 543 0.6× 368 0.5× 97 0.3× 305 0.9× 85 0.3× 74 1.7k
Frank J. Carmone United States 19 347 0.4× 350 0.4× 143 0.4× 194 0.6× 62 0.2× 32 1.1k
John Rust United States 23 838 0.9× 1.8k 2.3× 123 0.3× 543 1.6× 90 0.3× 67 3.3k
Lee G. Cooper United States 21 1.4k 1.6× 847 1.1× 79 0.2× 517 1.5× 32 0.1× 40 2.4k
Samuel E. Bodily United States 15 377 0.4× 201 0.3× 82 0.2× 502 1.4× 67 0.2× 46 1.5k
Fred Collopy United States 19 148 0.2× 246 0.3× 295 0.8× 732 2.1× 44 0.1× 46 1.9k
Sha Yang United States 26 1.8k 2.0× 505 0.6× 140 0.4× 588 1.7× 27 0.1× 87 2.8k

Countries citing papers authored by Peter Lenk

Since Specialization
Citations

This map shows the geographic impact of Peter Lenk'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 Peter Lenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Lenk more than expected).

Fields of papers citing papers by Peter Lenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Lenk. 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 Peter Lenk. The network helps show where Peter Lenk may publish in the future.

Co-authorship network of co-authors of Peter Lenk

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lenk. A scholar is included among the top collaborators of Peter Lenk 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 Peter Lenk. Peter Lenk 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.
Lenk, Peter, et al.. (2024). Hierarchical Bayesian spectral regression with shape constraints for multi-group data. Computational Statistics & Data Analysis. 200. 108036–108036.
2.
Lenk, Peter, et al.. (2022). Temperature effects on the behaviour of liquid-laminated embedded glass connections. Engineering Structures. 274. 115164–115164. 3 indexed citations
3.
Street, M.W., et al.. (2022). Data Driven decision support during COVID. Procedia Computer Science. 205. 117–126.
4.
Lenk, Peter, et al.. (2020). Complex Curved Storefront: The Looking Glass. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Lenk, Peter, et al.. (2020). Data Science as a Service: The Data Range. Information & Security An International Journal. 47(2). 157–171. 3 indexed citations
6.
Kubiš, Peter, Jan Winter, Andreas Distler, et al.. (2019). All sub‐nanosecond laser monolithic interconnection of OPV modules. Progress in Photovoltaics Research and Applications. 27(6). 479–490. 15 indexed citations
7.
Lenk, Peter, et al.. (2018). Deep learning NATO document labels: A preliminary investigation. 16. 1–9. 1 indexed citations
8.
Wrona, Konrad, et al.. (2017). Cybersecurity Innovation in NATO: Lessons Learned and Recommendations. 36(1). 1 indexed citations
9.
Dotson, Jeffrey P., John R. Howell, Jeff D. Brazell, et al.. (2017). A Probit Model with Structured Covariance for Similarity Effects and Source of Volume Calculations. Journal of Marketing Research. 55(1). 35–47. 13 indexed citations
10.
Batra, Rajeev, Peter Lenk, & Michel Wedel. (2010). Brand Extension Strategy Planning: Empirical Estimation of Brand–Category Personality Fit and Atypicality. Journal of Marketing Research. 47(2). 335–347. 107 indexed citations
11.
Lenk, Peter & Wayne S. DeSarbo. (2000). Bayesian Inference for Finite Mixtures of Generalized Linear Models with Random Effects. SSRN Electronic Journal. 2 indexed citations
12.
Wedel, Michel, Wagner A. Kamakura, Albert C. Bemmaor, et al.. (1999). Discrete and continuous representation of heterogeneity. Marketing Letters. 3. 217–230. 13 indexed citations
13.
Wedel, Michel, Wagner A. Kamakura, Neeraj Arora, et al.. (1999). Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling. Marketing Letters. 10(3). 219–232. 6 indexed citations
14.
DeSarbo, Wayne S., Pradeep K. Chintagunta, Charles P. Himmelberg, et al.. (1997). Representing heterogeneity in consumer response models. Marketing Letters. 3. 335–348. 25 indexed citations
15.
Lenk, Peter, Wayne S. DeSarbo, Paul E. Green, & Martin R. Young. (1996). Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs. SSRN Electronic Journal. 17 indexed citations
16.
Allenby, Greg M. & Peter Lenk. (1995). Reassessing Brand Loyalty, Price Sensitivity, and Merchandising Effects on Consumer Brand Choice. Journal of Business and Economic Statistics. 13(3). 281–289. 73 indexed citations
17.
Allenby, Greg M. & Peter Lenk. (1994). Modeling Household Purchase Behavior with Logistic Normal Regression. Journal of the American Statistical Association. 89(428). 1218–1231. 163 indexed citations
18.
DeSarbo, Wayne S., Venkatram Ramaswamy, & Peter Lenk. (1993). A Latent Class Procedure for the Structural Analysis of Two-Way Compositional Data. SSRN Electronic Journal. 1 indexed citations
19.
Lenk, Peter. (1993). A bayesian nonparametric density estimator. Journal of nonparametric statistics. 3(1). 53–69. 10 indexed citations
20.
Lenk, Peter & Chih‐Ling Tsai. (1990). Transformations and dynamic linear models. Journal of Forecasting. 9(3). 219–232. 4 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.

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