Peter Ebbes

1.6k total citations · 1 hit paper
29 papers, 818 citations indexed

About

Peter Ebbes is a scholar working on Marketing, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Peter Ebbes has authored 29 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Marketing, 15 papers in Economics and Econometrics and 5 papers in Sociology and Political Science. Recurrent topics in Peter Ebbes's work include Consumer Market Behavior and Pricing (10 papers), Economic and Environmental Valuation (5 papers) and Economics of Agriculture and Food Markets (5 papers). Peter Ebbes is often cited by papers focused on Consumer Market Behavior and Pricing (10 papers), Economic and Environmental Valuation (5 papers) and Economics of Agriculture and Food Markets (5 papers). Peter Ebbes collaborates with scholars based in United States, France and Netherlands. Peter Ebbes's co-authors include Rajdeep Grewal, Frank Germann, Michel Wedel, Ulf Böckenholt, Dominik Papies, Harald J. van Heerde, Oded Netzer, Eva Ascarza, Wayne S. DeSarbo and Zan Huang and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

In The Last Decade

Peter Ebbes

27 papers receiving 737 citations

Hit Papers

The Chief Marketing Officer Matters! 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Ebbes United States 11 353 190 188 179 157 29 818
Sungho Park United States 6 298 0.8× 234 1.2× 146 0.8× 183 1.0× 135 0.9× 19 769
Wilfried R. Vanhonacker United States 18 555 1.6× 329 1.7× 389 2.1× 166 0.9× 156 1.0× 55 1.1k
Hayat Muhammad Awan Pakistan 16 365 1.0× 177 0.9× 153 0.8× 659 3.7× 251 1.6× 36 1.3k
Brett R. Gordon United States 18 470 1.3× 225 1.2× 450 2.4× 275 1.5× 22 0.1× 33 1.0k
Tanjim Hossain Canada 13 346 1.0× 171 0.9× 469 2.5× 164 0.9× 31 0.2× 29 1.2k
Michael A. Wiles United States 12 331 0.9× 206 1.1× 104 0.6× 246 1.4× 141 0.9× 16 739
Wesley R. Hartmann United States 15 458 1.3× 174 0.9× 268 1.4× 285 1.6× 53 0.3× 29 827
Andrey Fradkin United States 12 364 1.0× 117 0.6× 218 1.2× 291 1.6× 18 0.1× 25 761
Gökhan Özer Türkiye 15 750 2.1× 278 1.5× 170 0.9× 409 2.3× 859 5.5× 105 1.6k
Marc Fischer Germany 12 438 1.2× 195 1.0× 153 0.8× 202 1.1× 128 0.8× 36 750

Countries citing papers authored by Peter Ebbes

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ebbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Ebbes

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ebbes. A scholar is included among the top collaborators of Peter Ebbes 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 Ebbes. Peter Ebbes 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.
Ebbes, Peter, Frank Germann, & Rajdeep Grewal. (2024). Getting the Board on Board: Marketing Department Power and Board Interlocks. Journal of Marketing Research. 62(1). 1–21.
2.
Ebbes, Peter, et al.. (2020). Target Search in Product Displays: A Visual Crowding Perspective. SSRN Electronic Journal. 1 indexed citations
3.
Howell, John R., Peter Ebbes, & John Liechty. (2020). Gremlins in the Data: Identifying the Information Content of Research Subjects. Journal of Marketing Research. 58(1). 74–94. 4 indexed citations
4.
Ebbes, Peter, Frank Germann, & Rajdeep Grewal. (2019). Marketing Department Power and Board Interlocks. SSRN Electronic Journal.
5.
Ebbes, Peter & Oded Netzer. (2018). Using Social Network Activity Data to Identify and Target Job Seekers. SSRN Electronic Journal. 1 indexed citations
6.
Howell, John R., et al.. (2017). Gremlins in the Data: Identifying the Information Content of Research Subjects. SSRN Electronic Journal. 2 indexed citations
7.
Ebbes, Peter, Zan Huang, & Arvind Rangaswamy. (2015). Sampling designs for recovering local and global characteristics of social networks. International Journal of Research in Marketing. 33(3). 578–599. 15 indexed citations
8.
Ascarza, Eva, et al.. (2015). Beyond the Target Customer: Social Effects of CRM Campaigns. SSRN Electronic Journal. 6 indexed citations
9.
Andrews, Rick L. & Peter Ebbes. (2014). Properties of instrumental variables estimation in logit-based demand models. Journal of Modelling in Management. 9(3). 261–289. 5 indexed citations
10.
Ebbes, Peter, Ulf Böckenholt, Michel Wedel, & Hyoryung Nam. (2014). Accounting for Regressor-Error Dependencies in Educational Data: A Bayesian Mixture Approach. SSRN Electronic Journal. 1 indexed citations
11.
Fong, Duncan Κ. H., Peter Ebbes, & Wayne S. DeSarbo. (2012). A Heterogeneous Bayesian Regression Model for Cross-Sectional Data Involving a Single Observation Per Response Unit. SSRN Electronic Journal. 1 indexed citations
12.
Fong, Duncan Κ. H., Peter Ebbes, & Wayne S. DeSarbo. (2012). A Heterogeneous Bayesian Regression Model for Cross-sectional Data Involving a Single Observation per Response Unit. Psychometrika. 77(2). 293–314. 4 indexed citations
13.
Michalek, Jeremy J., Peter Ebbes, Feray Adıgüzel, Fred M. Feinberg, & Panos Y. Papalambros. (2011). Enhancing marketing with engineering: Optimal product line design for heterogeneous markets. International Journal of Research in Marketing. 28(1). 1–12. 1 indexed citations
14.
Ebbes, Peter, Dominik Papies, & Harald J. van Heerde. (2011). The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity. Marketing Science. 30(6). 1115–1122. 84 indexed citations
15.
Ebbes, Peter, Dominik Papies, & Harald J. van Heerde. (2010). The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity. SSRN Electronic Journal. 2 indexed citations
16.
DeSarbo, Wayne S., Peter Ebbes, Duncan Κ. H. Fong, & Charles C. Snow. (2010). Revisiting Customer Value Analysis in a Heterogeneous Market. SSRN Electronic Journal. 1 indexed citations
17.
DeSarbo, Wayne S., Peter Ebbes, Duncan Κ. H. Fong, & Charles C. Snow. (2010). Revisiting customer value analysis in a heterogeneous market. Journal of Modelling in Management. 5(1). 8–24. 12 indexed citations
18.
Ebbes, Peter, et al.. (2008). Sampling large-scale social networks: Insights from simulated networks. 5 indexed citations
19.
Ebbes, Peter. (2004). Latent instrumental variables, a new approach to solve for endogeneity. Data Archiving and Networked Services (DANS). 11 indexed citations
20.
Ebbes, Peter, Ulf Böckenholt, & Michel Wedel. (2004). Regressor and random‐effects dependencies in multilevel models. Statistica Neerlandica. 58(2). 161–178. 54 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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