William B. Dodds

8.0k total citations · 2 hit papers
22 papers, 6.0k citations indexed

About

William B. Dodds is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Economics and Econometrics. According to data from OpenAlex, William B. Dodds has authored 22 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Marketing, 7 papers in Organizational Behavior and Human Resource Management and 6 papers in Economics and Econometrics. Recurrent topics in William B. Dodds's work include Consumer Behavior in Brand Consumption and Identification (11 papers), Customer Service Quality and Loyalty (7 papers) and Gender, Labor, and Family Dynamics (5 papers). William B. Dodds is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (11 papers), Customer Service Quality and Loyalty (7 papers) and Gender, Labor, and Family Dynamics (5 papers). William B. Dodds collaborates with scholars based in United States. William B. Dodds's co-authors include Kent B. Monroe, Dhruv Grewal, Russell G. Wahlers, Ramon A. Avila and Jean B. Romeo and has published in prestigious journals such as Journal of Marketing Research, Journal of the Academy of Marketing Science and Journal of Public Economics.

In The Last Decade

William B. Dodds

19 papers receiving 5.2k citations

Hit Papers

Effects of Price, Brand, and Store Information on Buyers'... 1991 2026 2002 2014 1991 1991 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William B. Dodds United States 10 4.3k 2.5k 2.4k 1.3k 516 22 6.0k
Vincent‐Wayne Mitchell United Kingdom 42 4.1k 1.0× 2.2k 0.9× 2.7k 1.1× 1.3k 0.9× 1.1k 2.2× 121 7.4k
Lawrence Feick United States 28 3.2k 0.7× 1.8k 0.7× 2.7k 1.1× 823 0.6× 384 0.7× 49 5.1k
Richard A. Spreng United States 19 3.7k 0.9× 4.5k 1.8× 2.8k 1.2× 2.0k 1.5× 651 1.3× 32 6.8k
Kristy E. Reynolds United States 29 5.5k 1.3× 4.0k 1.6× 2.6k 1.1× 1.5k 1.1× 470 0.9× 44 7.1k
Banwari Mittal United States 31 4.3k 1.0× 2.2k 0.9× 2.8k 1.2× 870 0.6× 427 0.8× 56 6.0k
Boonghee Yoo United States 22 3.2k 0.8× 1.8k 0.7× 2.3k 1.0× 560 0.4× 609 1.2× 37 4.9k
George M. Zinkhan United States 45 4.8k 1.1× 2.1k 0.9× 3.5k 1.5× 1.3k 1.0× 944 1.8× 191 8.1k
Francis Buttle Australia 32 2.7k 0.6× 3.4k 1.3× 2.0k 0.8× 1.1k 0.8× 1.1k 2.1× 102 5.7k
Amna Kirmani United States 24 4.4k 1.0× 1.5k 0.6× 3.1k 1.3× 654 0.5× 962 1.9× 39 6.5k
Ellen Garbarino Australia 24 3.6k 0.8× 4.0k 1.6× 2.9k 1.2× 1.5k 1.1× 863 1.7× 48 6.6k

Countries citing papers authored by William B. Dodds

Since Specialization
Citations

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

Fields of papers citing papers by William B. Dodds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Dodds. 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 William B. Dodds. The network helps show where William B. Dodds may publish in the future.

Co-authorship network of co-authors of William B. Dodds

This figure shows the co-authorship network connecting the top 25 collaborators of William B. Dodds. A scholar is included among the top collaborators of William B. Dodds 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 William B. Dodds. William B. Dodds 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.
Dodds, William B., et al.. (2023). Using Schooling Decisions to Estimate the Elasticity of Marginal Utility of Consumption. SSRN Electronic Journal.
2.
Dodds, William B.. (2023). Solving multidimensional screening problems using a generalized single crossing property. Economic Theory. 77(4). 1025–1084. 2 indexed citations
3.
Dodds, William B., et al.. (2023). Using schooling decisions to estimate the elasticity of marginal utility of consumption. Journal of Public Economics. 224. 104948–104948. 2 indexed citations
4.
Dodds, William B., et al.. (2021). Optimal Taxation with Multiple Dimensions of Heterogeneity. World Bank, Washington, DC eBooks.
5.
Dodds, William B., et al.. (2021). Using Labor Supply Elasticities to Learn about Income Inequality: The Role of Productivities versus Preferences. American Economic Journal Economic Policy. 13(3). 28–62. 1 indexed citations
6.
Dodds, William B., et al.. (2020). The Role of Productivities versus Preferences. The World Bank Open Knowledge Repository (World Bank). 2 indexed citations
7.
Dodds, William B., et al.. (2020). The targeting benefit of conditional cash transfers. Journal of Public Economics. 194. 104330–104330. 4 indexed citations
8.
Dodds, William B., et al.. (2020). The Targeting Benefit Of Conditional Cash Transfers. World Bank, Washington, DC eBooks.
9.
Dodds, William B.. (2002). The Effects of Perceived and Objective Market Cues on Consumers' Product Evaluations. 21 indexed citations
10.
Dodds, William B.. (1999). Managing Customer Value. Mid-American Journal of Business. 14(1). 13–22. 356 indexed citations
11.
Dodds, William B.. (1996). Perceived Value: A Dimension of the Consumer Risk Construct. Mid-American Journal of Business. 11(1). 15–22. 17 indexed citations
12.
Dodds, William B.. (1995). Market Cues Affect on Consumers’ Product Evaluations. The Journal of Marketing Theory and Practice. 3(2). 50–63. 46 indexed citations
13.
Avila, Ramon A., et al.. (1993). Importance of Price in Industrial Buying: Sales versus Purchasing Perspectives. 15(2). 34. 6 indexed citations
14.
Dodds, William B., Kent B. Monroe, & Dhruv Grewal. (1991). Effects of Price, Brand, and Store Information on Buyers' Product Evaluations. Journal of Marketing Research. 28(3). 307–307. 3644 indexed citations breakdown →
15.
Dodds, William B., Kent B. Monroe, & Dhruv Grewal. (1991). Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations. Journal of Marketing Research. 28(3). 307–319. 1174 indexed citations breakdown →
16.
Dodds, William B. & Jean B. Romeo. (1991). An investigation of how similarity and price influence consumers' responses to brand extensions. Journal of Business and Psychology. 6(2). 247–263. 2 indexed citations
17.
Dodds, William B.. (1991). In search of value: how price and store name information influence buyers′ product perceptions. Journal of Consumer Marketing. 8(2). 15–24. 169 indexed citations
18.
Monroe, Kent B. & William B. Dodds. (1988). A Research Program for Establishing the Validity of the Price-Quality Relationship. Journal of the Academy of Marketing Science. 16(3). 151–163. 17 indexed citations
19.
Monroe, Kent B. & William B. Dodds. (1988). A Research Program for Establishing the Validity of the Price-Quality Relationship. Journal of the Academy of Marketing Science. 16(1). 151–168. 3 indexed citations
20.
Dodds, William B. & Kent B. Monroe. (1985). the Effect of Brand and Price Information on Subjective Product Evaluations. ACR North American Advances. 471 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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