Christopher P. Puto

4.1k total citations · 1 hit paper
21 papers, 2.8k citations indexed

About

Christopher P. Puto is a scholar working on Economics and Econometrics, General Decision Sciences and Marketing. According to data from OpenAlex, Christopher P. Puto has authored 21 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 9 papers in General Decision Sciences and 7 papers in Marketing. Recurrent topics in Christopher P. Puto's work include Decision-Making and Behavioral Economics (9 papers), Economic and Environmental Valuation (8 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Christopher P. Puto is often cited by papers focused on Decision-Making and Behavioral Economics (9 papers), Economic and Environmental Valuation (8 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Christopher P. Puto collaborates with scholars based in United States. Christopher P. Puto's co-authors include Joel Huber, John W. Payne, William D. Wells, William J. Qualls, W.E. Patton, Michael D. Johnson, Lon N. Larson, J. Lyle Bootman, Merrie Brucks and JoLaine R. Draugalis and has published in prestigious journals such as Journal of Marketing, Journal of Marketing Research and Journal of Consumer Research.

In The Last Decade

Christopher P. Puto

20 papers receiving 2.5k citations

Hit Papers

Adding Asymmetrically Dominated Alternatives: Violations ... 1982 2026 1996 2011 1982 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher P. Puto United States 15 1.3k 1.1k 973 549 359 21 2.8k
Gary J. Gaeth United States 22 686 0.5× 1.2k 1.1× 476 0.5× 650 1.2× 410 1.1× 47 2.9k
Stephen M. Nowlis United States 28 1.1k 0.9× 2.2k 1.9× 705 0.7× 1.1k 2.0× 495 1.4× 42 4.3k
Ziv Carmon United States 22 700 0.5× 1.3k 1.2× 502 0.5× 780 1.4× 479 1.3× 43 3.0k
Gal Zauberman United States 28 1.2k 1.0× 936 0.8× 570 0.6× 707 1.3× 240 0.7× 77 3.3k
Margaret G. Meloy United States 19 645 0.5× 829 0.7× 345 0.4× 544 1.0× 158 0.4× 36 2.3k
Priya Raghubir United States 34 666 0.5× 3.1k 2.7× 515 0.5× 1.1k 2.0× 746 2.1× 87 4.9k
Ran Kivetz United States 21 798 0.6× 2.1k 1.8× 417 0.4× 959 1.7× 773 2.2× 38 3.5k
Eric Greenleaf United States 19 316 0.2× 1.6k 1.4× 416 0.4× 615 1.1× 395 1.1× 39 2.7k
Alexander Chernev United States 22 433 0.3× 2.0k 1.8× 400 0.4× 770 1.4× 430 1.2× 54 3.3k
Young-Won Ha United States 8 595 0.5× 683 0.6× 171 0.2× 725 1.3× 230 0.6× 10 2.5k

Countries citing papers authored by Christopher P. Puto

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Puto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Puto. 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 Christopher P. Puto. The network helps show where Christopher P. Puto may publish in the future.

Co-authorship network of co-authors of Christopher P. Puto

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher P. Puto. A scholar is included among the top collaborators of Christopher P. Puto 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 Christopher P. Puto. Christopher P. Puto 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.
Whitler, Kimberly A. & Christopher P. Puto. (2020). The influence of the board of directors on outside-in strategy. Industrial Marketing Management. 90. 143–154. 18 indexed citations
2.
Rothausen, Teresa J., et al.. (2019). A Model of Full-Time Professional Graduate Student Satisfaction: Program Design, Delivery, and Outcomes. The Journal of Consumer Satisfaction, Dissatisfaction & Complaining Behavior. 32. 73–97. 1 indexed citations
4.
Huber, Joel, John W. Payne, & Christopher P. Puto. (2014). Let's be Honest about the Attraction Effect. Journal of Marketing Research. 51(4). 520–525. 110 indexed citations
5.
Russell, Cristel Antonia & Christopher P. Puto. (1999). Special Session Summary Novel Experimental Methods: Opportunities and Challenges. ACR North American Advances. 1 indexed citations
6.
Russell, Cristel Antonia & Christopher P. Puto. (1999). Rethinking Television Audience Measures: An Exploration into the Construct of Audience Connectedness. Marketing Letters. 10(4). 393–407. 8 indexed citations
7.
Beach, Lee Roy, et al.. (1996). Differential versus Unit Weighting of Violations, Framing, and the Role of Probability in Image Theory's Compatibility Test. Organizational Behavior and Human Decision Processes. 65(2). 77–82. 30 indexed citations
8.
Larson, Lon N., et al.. (1993). Physician prescribing decisions: The effects of situational involvement and task complexity on information acquisition and decision making. Social Science & Medicine. 36(11). 1473–1482. 62 indexed citations
9.
Lichtenstein, Richard, et al.. (1992). HMO Marketing and Selection Bias:. Medical Care. 30(4). 329–346. 10 indexed citations
10.
Qualls, William J. & Christopher P. Puto. (1989). Organizational Climate and Decision Framing An Integrated Approach to Analyzing Industrial Buying Decisions. Journal of Marketing Research. 26(2). 179–192. 160 indexed citations
11.
Qualls, William J. & Christopher P. Puto. (1989). Organizational Climate and Decision Framing: An Integrated Approach to Analyzing Industrial Buying Decisions. Journal of Marketing Research. 26(2). 179–179. 75 indexed citations
12.
Rowe, Debra & Christopher P. Puto. (1987). Do Consumers' Reference Points Affect Their Buying Decisions?. ACR North American Advances. 14 indexed citations
13.
Puto, Christopher P.. (1987). The Framing of Buying Decisions. Journal of Consumer Research. 14(3). 301–301. 237 indexed citations
14.
Johnson, Michael D. & Christopher P. Puto. (1987). A Review of Consumer Judgment and Choice. Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University). 25 indexed citations
15.
Puto, Christopher P.. (1985). Memory For Scripts in Advertisements. ACR North American Advances. 8 indexed citations
16.
Puto, Christopher P., et al.. (1985). Risk Handling Strategies in Industrial Vendor Selection Decisions. Journal of Marketing. 49(1). 89–98. 150 indexed citations
17.
Puto, Christopher P., et al.. (1985). Risk Handling Strategies in Industrial Vendor Selection Decisions. Journal of Marketing. 49(1). 89–89. 56 indexed citations
18.
Puto, Christopher P. & William D. Wells. (1984). Informational and Transformational Advertising: the Differential Effects of Time. ACR North American Advances. 276 indexed citations
19.
Huber, Joel & Christopher P. Puto. (1983). Market Boundaries and Product Choice: Illustrating Attraction and Substitution Effects. Journal of Consumer Research. 10(1). 31–31. 315 indexed citations
20.
Huber, Joel, John W. Payne, & Christopher P. Puto. (1982). Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis. Journal of Consumer Research. 9(1). 90–90. 1245 indexed citations breakdown →

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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