Melissa Moore

1.2k total citations
24 papers, 919 citations indexed

About

Melissa Moore is a scholar working on Marketing, Plant Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Melissa Moore has authored 24 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Marketing, 9 papers in Plant Science and 6 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Melissa Moore's work include Genetically Modified Organisms Research (8 papers), Customer Service Quality and Loyalty (6 papers) and Consumer Behavior in Brand Consumption and Identification (5 papers). Melissa Moore is often cited by papers focused on Genetically Modified Organisms Research (8 papers), Customer Service Quality and Loyalty (6 papers) and Consumer Behavior in Brand Consumption and Identification (5 papers). Melissa Moore collaborates with scholars based in United States, Italy and United Kingdom. Melissa Moore's co-authors include Robert Moore, Michael L. Capella, Lisa House, Jayson L. Lusk, Sara R. Jaeger, Carlotta Valli, S. Ratneshwar, Bert Morrow, Cornelia Pechmann and Lawrence W. Barsalou and has published in prestigious journals such as Journal of Business Research, Journal of Consumer Psychology and Food Quality and Preference.

In The Last Decade

Melissa Moore

22 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Moore United States 14 436 308 261 254 118 24 919
Xuhui Wang China 15 790 1.8× 277 0.9× 212 0.8× 262 1.0× 75 0.6× 46 1.3k
Damien Mather New Zealand 18 396 0.9× 367 1.2× 122 0.5× 171 0.7× 67 0.6× 42 1.1k
Robert J. Angell United Kingdom 18 422 1.0× 325 1.1× 192 0.7× 144 0.6× 50 0.4× 36 988
Jinyoung Im United States 16 559 1.3× 492 1.6× 376 1.4× 92 0.4× 88 0.7× 38 1.3k
Kimberly Severt United States 18 697 1.6× 482 1.6× 157 0.6× 146 0.6× 49 0.4× 41 1.2k
Nathalie Spielmann France 23 786 1.8× 510 1.7× 242 0.9× 256 1.0× 79 0.7× 54 1.5k
Yeon Ho Shin United States 20 819 1.9× 410 1.3× 202 0.8× 200 0.8× 69 0.6× 50 1.4k
Pilar Fernández Ferrín Spain 19 467 1.1× 314 1.0× 520 2.0× 164 0.6× 77 0.7× 59 1.4k
Ferdinand F. Wirth United States 11 917 2.1× 514 1.7× 354 1.4× 295 1.2× 187 1.6× 25 1.4k
Faruk Anıl Konuk Türkiye 15 1.0k 2.4× 485 1.6× 327 1.3× 185 0.7× 70 0.6× 22 1.4k

Countries citing papers authored by Melissa Moore

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Moore. A scholar is included among the top collaborators of Melissa Moore 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 Melissa Moore. Melissa Moore 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.
White, Allyn, et al.. (2017). The Influence of Dual Branding Information on Consumer Evaluations. Journal of Marketing Development and Competitiveness. 11(3). 10–20.
2.
3.
Collier, Joel E., Robert Moore, Alisha Horky, & Melissa Moore. (2014). Why the little things matter: Exploring situational influences on customers' self-service technology decisions. Journal of Business Research. 68(3). 703–710. 103 indexed citations
4.
Moore, Melissa, S. Ratneshwar, & Robert Moore. (2012). Understanding loyalty bonds and their impact on relationship strength: a service firm perspective. Journal of Services Marketing. 26(4). 253–264. 19 indexed citations
5.
Zhang, Lin, et al.. (2011). The Effect of Self-Construals on the Effectiveness of Comparative Advertising. 21(1). 9 indexed citations
6.
Moore, Melissa, Robert Moore, & Robert McDonald. (2008). Student Characteristics and Expectations of University Classes: A Free Elicitation Approach.. College student journal. 42(1). 82–89. 11 indexed citations
7.
Yee, Wallace M.S., W. Bruce Traill, Jayson L. Lusk, et al.. (2008). Determinants of consumers' willingness to accept GM foods. International Journal of Biotechnology. 10(2/3). 240–240. 15 indexed citations
8.
Lusk, Jayson L., W. Bruce Traill, Lisa House, et al.. (2006). Comparative Advantage in Demand: Experimental Evidence of Preferences for Genetically Modified Food in the United States and European Union. Journal of Agricultural Economics. 57(1). 1–21. 50 indexed citations
9.
Traill, W. Bruce, Wallace M.S. Yee, Jayson L. Lusk, et al.. (2006). Perceptions of the risks and benefits of genetically-modified foods and their influence on willingness to consume. 3(1). 12–19. 18 indexed citations
10.
Moore, Robert, Melissa Moore, & Michael L. Capella. (2005). The impact of customer‐to‐customer interactions in a high personal contact service setting. Journal of Services Marketing. 19(7). 482–491. 186 indexed citations
11.
Moore, Robert, et al.. (2005). An Investigation of Motorists' Perceptions of Trucks on the Highways. Transportation Journal. 44(1). 20–32. 8 indexed citations
12.
Moore, Robert, et al.. (2005). An Investigation of Motorists' Perceptions of Trucks on the Highways. Transportation Journal. 44(1). 20–32. 2 indexed citations
13.
House, Lisa, Jayson L. Lusk, Sara R. Jaeger, et al.. (2004). OBJECTIVE AND SUBJECTIVE KNOWLEDGE: IMPACTS ON CONSUMER DEMAND FOR GENETICALLY MODIFIED FOODS IN THE UNITED STATES AND THE EUROPEAN UNION. AgEcon Search (University of Minnesota, USA). 7(3). 165 indexed citations
14.
Traill, W. Bruce, Sara R. Jaeger, Wallace M.S. Yee, et al.. (2004). Categories of GM Risk-Benefit Perceptions and Their Antecedents. 34 indexed citations
15.
Sainsbury, Keith, et al.. (2003). Development of an R&D response to ecosystem based management: Spatial management of fisheries and the role of MPAs. 4 indexed citations
16.
Moore, Melissa. (2002). Driving Customer Equity: How Customer Lifetime Value is Reshaping Corporate Strategy. Journal of Business Research. 57(6). 679–680. 15 indexed citations
17.
Lusk, Jayson L., Melissa Moore, Lisa House, & Bert Morrow. (2001). Influence of Brand Name, Store Loyalty, and Type of Modification on Consumer Acceptance of Genetically Engineered Corn Chips. 3 indexed citations
18.
House, Lisa, Bert Morrow, Jayson L. Lusk, & Melissa Moore. (2001). Modeling Consumer Acceptance of and Willingness to Pay for Genetically-Modified Foods in the United States and the European Union Authors:. 15 indexed citations
19.
Ratneshwar, S., Lawrence W. Barsalou, Cornelia Pechmann, & Melissa Moore. (2001). Goal‐Derived Categories: The Role of Personal and Situational Goals in Category Representations. Journal of Consumer Psychology. 10(3). 147–157. 131 indexed citations
20.
Coulter, Robin Higie, June Cotte, & Melissa Moore. (1999). Believe It Or Not: Persuasion, Manipulation and Credibility of Guilt Appeals. ACR North American Advances. 36 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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