Eric T. Bradlow

10.5k total citations · 1 hit paper
155 papers, 7.4k citations indexed

About

Eric T. Bradlow is a scholar working on Marketing, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Eric T. Bradlow has authored 155 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Marketing, 39 papers in Economics and Econometrics and 36 papers in Management Science and Operations Research. Recurrent topics in Eric T. Bradlow's work include Consumer Market Behavior and Pricing (74 papers), Economic and Environmental Valuation (22 papers) and Consumer Retail Behavior Studies (21 papers). Eric T. Bradlow is often cited by papers focused on Consumer Market Behavior and Pricing (74 papers), Economic and Environmental Valuation (22 papers) and Consumer Retail Behavior Studies (21 papers). Eric T. Bradlow collaborates with scholars based in United States, France and United Kingdom. Eric T. Bradlow's co-authors include Peter S. Fader, Howard Wainer, Rachel M. Werner, Xiaohui Wang, J. Wesley Hutchinson, Pierre Chandon, Scott Young, Sam K. Hui, Thomas Y. Lee and Stephen J. Hoch and has published in prestigious journals such as JAMA, Journal of the American Statistical Association and Journal of Marketing.

In The Last Decade

Eric T. Bradlow

149 papers receiving 6.8k citations

Hit Papers

Does In-Store Marketing Work? Effects of the Number and P... 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

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.

  1. Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase
    2009 555 citations Pierre Chandon, J. Wesley Hutchinson et al. Journal of Marketing profile →

Peers

Eric T. Bradlow
Galit Shmueli Taiwan
George A. Marcoulides United States
Wayne S. DeSarbo United States
Wagner A. Kamakura United States
Dirk Van den Poel Belgium
Greg M. Allenby United States
Teck‐Hua Ho United States
Theo K. Dijkstra Netherlands
Ulf Böckenholt United States
David E. Bell United States
Galit Shmueli Taiwan
Eric T. Bradlow
Citations per year, relative to Eric T. Bradlow Eric T. Bradlow (= 1×) peers Galit Shmueli

Countries citing papers authored by Eric T. Bradlow

Since Specialization
Citations

This map shows the geographic impact of Eric T. Bradlow'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 Eric T. Bradlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Bradlow more than expected).

Fields of papers citing papers by Eric T. Bradlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric T. Bradlow. 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 Eric T. Bradlow. The network helps show where Eric T. Bradlow may publish in the future.

Co-authorship network of co-authors of Eric T. Bradlow

This figure shows the co-authorship network connecting the top 25 collaborators of Eric T. Bradlow. A scholar is included among the top collaborators of Eric T. Bradlow 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 Eric T. Bradlow. Eric T. Bradlow 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.
2.
Bradlow, Eric T., et al.. (2022). Selecting Data Granularity and Model Specification Using the Scaled Power Likelihood with Multiple Weights. Marketing Science. 41(4). 848–866. 8 indexed citations
3.
Lee, Sangil, Eric T. Bradlow, & Joseph W. Kable. (2022). Fast construction of interpretable whole-brain decoders. Cell Reports Methods. 2(6). 100227–100227. 2 indexed citations
4.
Griffiths, Tom, Abdullah Almaatouq, Ekaterina Damer, et al.. (2021). Scaling up experimental social, behavioral, and economic science. OSF Preprints (OSF Preprints). 1 indexed citations
5.
Iyengar, Raghuram, et al.. (2020). A Flexible Demand Model for Complements Using Household Production Theory. Marketing Science. 39(4). 763–787. 3 indexed citations
6.
Lee, Sangil, et al.. (2020). Flexible Utility Function Approximation via Cubic Bezier Splines. Psychometrika. 85(3). 716–737. 1 indexed citations
7.
Chandon, Pierre, et al.. (2009). Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Attention, Consideration, and Choice At the Point of Purchase.. ACR North American Advances. 1 indexed citations
8.
Lee, Ka Lok, Robert J. Meyer, & Eric T. Bradlow. (2009). Analyzing Risk Response Dynamics on the Web: The Case of Hurricane Katrina. Risk Analysis. 29(12). 1779–1792. 24 indexed citations
9.
Kunreuther, Howard, et al.. (2009). Bayesian analysis of deterministic and stochastic prisoner’s dilemma games. Judgment and Decision Making. 4(5). 363–384. 35 indexed citations
10.
Schweidel, David A., Peter S. Fader, & Eric T. Bradlow. (2008). Understanding Service Retention within and across Cohorts using Limited Information. Journal of Marketing. 72(1). 82–94. 54 indexed citations
11.
Schweidel, David A., Peter S. Fader, & Eric T. Bradlow. (2007). A Bivariate Timing Model of Customer Acquisition and Retention. Scholarly Commons (University of Pennsylvania). 3 indexed citations
12.
Burns, Lawton R., et al.. (2007). Surgeon Evaluation of Suture and Endo-Mechanical Products. Journal of Surgical Research. 141(2). 220–233. 8 indexed citations
13.
Park, Young-Hoon & Eric T. Bradlow. (2005). An Integrated Model for Whether, Who, When, and How Much in Internet Auctions. SSRN Electronic Journal. 16 indexed citations
14.
Wang, Xiaohui, Eric T. Bradlow, & Howard Wainer. (2005). User's Guide for SCORIGHT (Version 3.0): A Computer Program for Scoring Tests Built of Testlets Including a Module for Covariate Analysis. Research Report. ETS RR-04-49.. ETS Research Report Series. 23 indexed citations
15.
Bradlow, Eric T.. (2005). Comment on current issues and a ‘wish list’ for conjoint analysis: Comments. Applied Stochastic Models in Business and Industry. 21(4). 327–328. 1 indexed citations
16.
Silber, Jeffrey H., Paul R. Rosenbaum, Orit Even‐Shoshan, et al.. (2003). Length of Stay, Conditional Length of Stay, and Prolonged Stay in Pediatric Asthma. Health Services Research. 38(3). 867–886. 42 indexed citations
17.
Bradlow, Eric T. & Alan M. Zaslavsky. (1999). A Hierarchical Latent Variable Model for Ordinal Data from a Customer Satisfaction Survey with “No Answer” Responses. Journal of the American Statistical Association. 94(445). 43–52. 48 indexed citations
18.
Ho, Teck‐Hua, Juin-Kuan Chong, Andrew Ainslie, et al.. (1999). A Parsimonious Model of SKU Choice: Familiarity-based Reinforcement and Response Sensitivity. 1 indexed citations
19.
Bradlow, Eric T. & Alan M. Zaslavsky. (1997). Case Influence Analysis in Bayesian Inference. Journal of Computational and Graphical Statistics. 6(3). 314–331. 28 indexed citations
20.
Doksum, Kjell A., et al.. (1994). Correlation Curves as Local Measures of Variance Explained by Regression. Journal of the American Statistical Association. 89(426). 571–571. 13 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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