Peter Lenk

3.1k citations
111 papers · 2.3k · h-index 23

Impact in

Papers in

    • Bayesian Methods and Mixture Models 18
    • Consumer Market Behavior and Pricing 25
    • Consumer Behavior in Brand Consumption and Identification 8

Peter Lenk

100 papers receiving 2.1k citations

Peers

Peter Lenk
Comparison fields: 5 of 141
  • Marketing 983
  • General Decision Sciences 146
  • Statistics and Probability 380
  • Tourism, Leisure and Hospitality Management 61
  • Economics and Econometrics 837
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Citations per year

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-authors

The 25 scholars most cited alongside Peter Lenk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Lenk Line = papers co-authored together Peter Lenk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996427
2 1994174
3 2000140
4 2009126
5 1990109
6 2010109
7 199575
8 198872
9 200563
10 200261
11 199145
12 200943
13 199942
14 199441
15 200840
16 199739
17 200835
18 199129
19 202028
20 200627

About Peter Lenk

Peter Lenk is a scholar working on Artificial Intelligence, Marketing, Statistics and Probability, Economics and Econometrics and Mechanical Engineering, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (25 papers), Economic and Environmental Valuation (19 papers), Bayesian Methods and Mixture Models (18 papers), Structural Analysis of Composite Materials (17 papers), Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (13 papers), Consumer Behavior in Brand Consumption and Identification (8 papers) and Decision-Making and Behavioral Economics (7 papers). The work is most often cited by research in Marketing (983 citations), General Decision Sciences (146 citations), Statistics and Probability (380 citations), Tourism, Leisure and Hospitality Management (61 citations) and Economics and Econometrics (837 citations). Peter Lenk has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent 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. Their work appears in journals such as Marketing Letters, Journal of Marketing Research, Journal of the American Statistical Association, Journal of Business and Economic Statistics and Marketing Science.

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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