Caitlin McLaughlin

947 total citations · 1 hit paper
35 papers, 596 citations indexed

About

Caitlin McLaughlin is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Caitlin McLaughlin has authored 35 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 13 papers in Organizational Behavior and Human Resource Management and 12 papers in Marketing. Recurrent topics in Caitlin McLaughlin's work include Digital Marketing and Social Media (21 papers), Customer Service Quality and Loyalty (13 papers) and Consumer Behavior in Brand Consumption and Identification (11 papers). Caitlin McLaughlin is often cited by papers focused on Digital Marketing and Social Media (21 papers), Customer Service Quality and Loyalty (13 papers) and Consumer Behavior in Brand Consumption and Identification (11 papers). Caitlin McLaughlin collaborates with scholars based in Canada, United States and United Kingdom. Caitlin McLaughlin's co-authors include Jessica Vitak, Donghee Yvette Wohn, Guo Freeman, Matti Haverila, Mehak Arora, Caleb T. Carr, Eric Li, Julia Crouse, Lucinda D. Davenport and Marjorie B. McElroy and has published in prestigious journals such as SHILAP Revista de lepidopterología, New Media & Society and Communication Research.

In The Last Decade

Caitlin McLaughlin

32 papers receiving 561 citations

Hit Papers

Explaining Viewers' Emotional, Instrumental, and Financia... 2018 2026 2020 2023 2018 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caitlin McLaughlin Canada 11 430 172 116 86 73 35 596
Hongjin Shim South Korea 11 436 1.0× 122 0.7× 68 0.6× 135 1.6× 96 1.3× 25 585
Thomas Widjaja Germany 11 465 1.1× 128 0.7× 73 0.6× 105 1.2× 83 1.1× 32 669
Toby Hopp United States 16 431 1.0× 325 1.9× 91 0.8× 75 0.9× 47 0.6× 41 697
Soo Yun Shin United States 13 554 1.3× 256 1.5× 173 1.5× 155 1.8× 121 1.7× 22 778
Ereni Markos United States 11 456 1.1× 82 0.5× 261 2.3× 126 1.5× 30 0.4× 16 720
Chang-Dae Ham United States 10 531 1.2× 132 0.8× 347 3.0× 122 1.4× 112 1.5× 13 723
Justine Rapp Farrell United States 7 501 1.2× 92 0.5× 273 2.4× 91 1.1× 100 1.4× 15 662
Chance York United States 10 562 1.3× 387 2.3× 43 0.4× 86 1.0× 68 0.9× 19 786
Alessandro Caliandro Italy 13 469 1.1× 186 1.1× 224 1.9× 29 0.3× 30 0.4× 30 744
Guanxiong Huang Hong Kong 13 338 0.8× 73 0.4× 125 1.1× 153 1.8× 47 0.6× 28 560

Countries citing papers authored by Caitlin McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin McLaughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin McLaughlin. A scholar is included among the top collaborators of Caitlin McLaughlin 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 Caitlin McLaughlin. Caitlin McLaughlin 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.
Haverila, Matti, et al.. (2025). The effect of marketing capabilities on marketing agility and perceived performance. International Journal of Productivity and Performance Management. 74(9). 3077–3102.
2.
Haverila, Matti, et al.. (2024). The impact of perceived knowledge on marketing agility in the context of big data: role of deployment level. SHILAP Revista de lepidopterología. 30(1). 3–29. 2 indexed citations
3.
Haverila, Matti, et al.. (2023). Competence-based appraisal of the quality of higher education using the importance-performance (IPMA) analysis. Journal of Marketing for HIGHER EDUCATION. 35(3). 446–470. 2 indexed citations
4.
McKinley, Emma, et al.. (2023). Conceptualizing the construct of ocean identity. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
5.
McLaughlin, Caitlin & Matti Haverila. (2023). Why lurk, why join, and why post? The uses and gratifications of lurkers, infrequent posters, and frequent posters in the brand community context.. Psychology of Popular Media. 13(4). 603–612. 2 indexed citations
6.
Haverila, Matti, et al.. (2023). Brand Community Motives and Engagement: The Impact of Gender. Journal of Internet Commerce. 23(1). 90–120. 3 indexed citations
7.
Haverila, Matti, et al.. (2023). The quality of big data marketing analytics (BDMA), user satisfaction, value for money and reinvestment intentions of marketing professionals. Journal of Systems and Information Technology. 25(1). 30–52. 11 indexed citations
8.
Haverila, Matti, et al.. (2023). Segmenting the customers of system delivery projects based on data heterogeneity. Journal of Business and Industrial Marketing. 39(5). 902–918. 2 indexed citations
9.
Haverila, Matti, et al.. (2022). The influence of the number of brand community memberships on customer centric measures. Journal of Marketing Analytics. 11(1). 5–20. 3 indexed citations
10.
Haverila, Matti, et al.. (2022). Development of a brand community engagement model: a service-dominant logic perspective. Journal of Consumer Marketing. 39(2). 166–179. 7 indexed citations
11.
Haverila, Matti, et al.. (2021). Towards a comprehensive student satisfaction model. The International Journal of Management Education. 19(3). 100558–100558. 21 indexed citations
12.
Haverila, Matti, et al.. (2021). The moderating role of relationship quality in the customer engagement and satisfaction relationship in brand communities: the role of gender. International Journal of Electronic Marketing and Retailing. 12(4). 339–339. 2 indexed citations
13.
McLaughlin, Caitlin. (2020). Pavlov’s Classical Conditioning. 0–5:14minutes.
14.
Wohn, Donghee Yvette, Guo Freeman, & Caitlin McLaughlin. (2018). Explaining Viewers' Emotional, Instrumental, and Financial Support Provision for Live Streamers. 1–13. 161 indexed citations breakdown →
15.
McLaughlin, Caitlin & Lucinda D. Davenport. (2017). Brand Community Success Factors: A Study of Two Facebook Brand Community Features. 15(2). 50–50. 3 indexed citations
16.
McLaughlin, Caitlin. (2016). Source Credibility and Consumers' Responses to Marketer Involvement in Facebook Brand Communities: What Causes Consumers to Engage?. Journal of Interactive Advertising. 16(2). 101–116. 16 indexed citations
17.
Carr, Caleb T., Jessica Vitak, & Caitlin McLaughlin. (2011). Strength of Social Cues in Online Impression Formation. Communication Research. 40(2). 261–281. 19 indexed citations
18.
McLaughlin, Caitlin, Jessica Vitak, & Julia Crouse. (2011). Online Identity Construction and Expectation of Future Interaction. 1–10. 5 indexed citations
19.
McLaughlin, Caitlin & Jessica Vitak. (2011). Norm evolution and violation on Facebook. New Media & Society. 14(2). 299–315. 202 indexed citations
20.
Greenberger, Ellen & Caitlin McLaughlin. (1993). Attachment, Coping, and Attributional Style in Late Adolescence.. Journal of Cheminformatics. 14(1). 36–36.

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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