Pamela E. Grimm

1.8k total citations
18 papers, 551 citations indexed

About

Pamela E. Grimm is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Pamela E. Grimm has authored 18 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Marketing, 6 papers in Sociology and Political Science and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Pamela E. Grimm's work include Consumer Behavior in Brand Consumption and Identification (9 papers), Digital Marketing and Social Media (4 papers) and Customer Service Quality and Loyalty (4 papers). Pamela E. Grimm is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (9 papers), Digital Marketing and Social Media (4 papers) and Customer Service Quality and Loyalty (4 papers). Pamela E. Grimm collaborates with scholars based in United States, Netherlands and Austria. Pamela E. Grimm's co-authors include Colin Campbell, Jennifer Wiggins Johnson, Jagdish Agrawal, Karen Robson, Frauke Mattison Thompson, Paul Richardson, Jennifer Wiggins, Brian T. Ratchford, S. Narasimhan and Lawrence J. Marks and has published in prestigious journals such as Journal of Business Research, Journal of Advertising and Journal of Consumer Psychology.

In The Last Decade

Pamela E. Grimm

17 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pamela E. Grimm United States	11	336	329	89	78	54	18	551
Federico de Gregorio United States	11	241 0.7×	265 0.8×	64 0.7×	56 0.7×	52 1.0×	16	438
Joanna Phillips Melancon United States	9	414 1.2×	314 1.0×	107 1.2×	171 2.2×	30 0.6×	17	574
Angeline Close Scheinbaum United States	12	465 1.4×	505 1.5×	124 1.4×	114 1.5×	47 0.9×	33	726
Andrew M. Kaikati United States	9	369 1.1×	450 1.4×	76 0.9×	121 1.6×	37 0.7×	13	700
Carolyn Costley New Zealand	11	339 1.0×	470 1.4×	88 1.0×	157 2.0×	43 0.8×	20	717
D. Israel India	10	250 0.7×	295 0.9×	67 0.8×	83 1.1×	24 0.4×	19	469
Ma Mercedes Cuyás Palazón Cuyás Palazón Spain	13	425 1.3×	481 1.5×	120 1.3×	155 2.0×	21 0.4×	21	692
Catherine Frethey‐Bentham New Zealand	8	360 1.1×	203 0.6×	121 1.4×	75 1.0×	20 0.4×	18	528
Jay Trivedi India	12	532 1.6×	406 1.2×	208 2.3×	116 1.5×	35 0.6×	26	716
Holly A. Syrdal United States	9	367 1.1×	359 1.1×	133 1.5×	97 1.2×	36 0.7×	15	607

Countries citing papers authored by Pamela E. Grimm

Since Specialization

Citations

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

Fields of papers citing papers by Pamela E. Grimm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela E. Grimm. 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 Pamela E. Grimm. The network helps show where Pamela E. Grimm may publish in the future.

Co-authorship network of co-authors of Pamela E. Grimm

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela E. Grimm. A scholar is included among the top collaborators of Pamela E. Grimm 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 Pamela E. Grimm. Pamela E. Grimm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Grimm, Pamela E., et al.. (2023). In it together: brands benefit after a transgression when perceived as co-owners of the brand community. Journal of Marketing Management. 40(3-4). 190–216. 9 indexed citations

Marks, Lawrence J., Pamela E. Grimm, & Colin Campbell. (2019). A Review of Native Advertising. 259–274. 3 indexed citations

Wiggins, Jennifer, et al.. (2019). The Role of Network Embeddedness and Psychological Ownership in Consumer Responses to Brand Transgressions. Journal of Interactive Marketing. 47(1). 129–143. 31 indexed citations

Wiggins, Jennifer, et al.. (2018). “My Brand” Behaved Badly: Psychological Ownership and Consumer Responsibility For Helping Brands Recover From Transgressions. ACR North American Advances. 1 indexed citations

Campbell, Colin & Pamela E. Grimm. (2018). THE CHALLENGES NATIVE ADVERTISING POSES: EXPLORING POTENTIAL FTC RESPONSES AND IDENTIFYING RESEARCH NEEDS. Journal of Public Policy & Marketing. 5 indexed citations

Campbell, Colin & Pamela E. Grimm. (2018). The Challenges Native Advertising Poses: Exploring Potential Federal Trade Commission Responses and Identifying Research Needs. Journal of Public Policy & Marketing. 38(1). 110–123. 139 indexed citations

Campbell, Colin, Frauke Mattison Thompson, Pamela E. Grimm, & Karen Robson. (2017). Understanding Why Consumers Don't Skip Pre-Roll Video Ads. Journal of Advertising. 46(3). 411–423. 86 indexed citations

Mills, Paul C., Jennifer Wiggins Johnson, & Pamela E. Grimm. (2014). The Effect of Social Rewards on Intrinsically Motivated Donations. SSRN Electronic Journal. 1 indexed citations

Thomas, Veronica L., Kendra Fowler, & Pamela E. Grimm. (2013). Conceptualization and Exploration of Attitude toward Advertising Disclosures and Its Impact on Perceptions of Manipulative Intent. Journal of Consumer Affairs. 47(3). 564–587. 15 indexed citations

10.

Agrawal, Jagdish, Pamela E. Grimm, Shyam J. Kamath, & Thomas Foscht. (2011). A cross‐country study of signals of brand quality. Journal of Product & Brand Management. 20(5). 333–342. 8 indexed citations

11.

Johnson, Jennifer Wiggins, et al.. (2010). The Influence of Intrinsic and Extrinsic Messages and Benefits on Motivations to Donate. ACR North American Advances.

12.

Liu, Xin, Michael Y. Hu, & Pamela E. Grimm. (2010). Affect transfer in brand extensions: the role of expectancy and relevancy. Journal of Product & Brand Management. 19(5). 317–326. 16 indexed citations

13.

Johnson, Jennifer Wiggins & Pamela E. Grimm. (2010). Communal and exchange relationship perceptions as separate constructs and their role in motivations to donate. Journal of Consumer Psychology. 20(3). 282–294. 79 indexed citations

14.

Grimm, Pamela E.. (2003). Ab components' impact on brand preference. Journal of Business Research. 58(4). 508–517. 56 indexed citations

15.

Grimm, Pamela E., Jagdish Agrawal, & Paul Richardson. (1999). Product Conspicuousness and Buying Motives As Determinants of Reference Group Influences. ACR European Advances. 15 indexed citations

16.

Maher, Jill K., Lawrence J. Marks, & Pamela E. Grimm. (1997). Overload, Pressure, and Convenience: Testing a Conceptual Model of Factors Influencing WomenS Attitudes Toward, and Use Of, Shopping Channels. ACR North American Advances. 24. 490–498. 18 indexed citations

17.

Agrawal, Jagdish, Paul Richardson, & Pamela E. Grimm. (1996). The Relationship Between Warranty and Product Reliability. Journal of Consumer Affairs. 30(2). 421–443. 35 indexed citations

18.

Ratchford, Brian T., Jagdish Agrawal, Pamela E. Grimm, & S. Narasimhan. (1996). Toward Understanding the Measurement of Market Efficiency. Journal of Public Policy & Marketing. 15(2). 167–184. 34 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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