Cornelia Pechmann

6.2k total citations · 1 hit paper
89 papers, 4.6k citations indexed

About

Cornelia Pechmann is a scholar working on Marketing, Applied Psychology and Sociology and Political Science. According to data from OpenAlex, Cornelia Pechmann has authored 89 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Marketing, 23 papers in Applied Psychology and 22 papers in Sociology and Political Science. Recurrent topics in Cornelia Pechmann's work include Consumer Behavior in Brand Consumption and Identification (27 papers), Behavioral Health and Interventions (22 papers) and Smoking Behavior and Cessation (19 papers). Cornelia Pechmann is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (27 papers), Behavioral Health and Interventions (22 papers) and Smoking Behavior and Cessation (19 papers). Cornelia Pechmann collaborates with scholars based in United States, China and United Kingdom. Cornelia Pechmann's co-authors include S. Ratneshwar, David W. Stewart, Guangzhi Zhao, Ellen Reibling, Chuan‐Fong Shih, David Glen Mick, Julie L. Ozanne, Simone Pettigrew, Marvin E. Goldberg and Judith J. Prochaska and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Marketing.

In The Last Decade

Cornelia Pechmann

84 papers receiving 4.1k citations

Hit Papers

Transformative Consumer R... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cornelia Pechmann 2.1k 1.6k 1.2k 775 705 89 4.6k
Marvin E. Goldberg 1.7k 0.8× 1.2k 0.8× 536 0.5× 578 0.7× 363 0.5× 66 3.7k
J. Craig Andrews 2.6k 1.3× 1.5k 0.9× 678 0.6× 388 0.5× 376 0.5× 79 5.0k
Charles K. Atkin 895 0.4× 1.9k 1.2× 652 0.6× 964 1.2× 271 0.4× 113 4.7k
Richard W. Pollay 2.6k 1.3× 1.5k 0.9× 351 0.3× 437 0.6× 702 1.0× 94 4.9k
Jeremy Kees 1.1k 0.5× 842 0.5× 721 0.6× 331 0.4× 278 0.4× 46 3.2k
Punam Anand Keller 1.3k 0.6× 1.2k 0.7× 1.4k 1.2× 629 0.8× 101 0.1× 50 3.4k
Sonya A. Grier 2.0k 1.0× 1.5k 0.9× 333 0.3× 183 0.2× 211 0.3× 77 5.2k
Philip Gendall 904 0.4× 637 0.4× 383 0.3× 118 0.2× 547 0.8× 115 2.7k
Judith A. Ouellette 511 0.2× 1.3k 0.8× 1.4k 1.2× 165 0.2× 139 0.2× 18 3.6k
Gavan J. Fitzsimons 3.1k 1.5× 2.5k 1.6× 1.4k 1.2× 404 0.5× 51 0.1× 127 6.7k

Countries citing papers authored by Cornelia Pechmann

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Pechmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Pechmann

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Pechmann. A scholar is included among the top collaborators of Cornelia Pechmann 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 Cornelia Pechmann. Cornelia Pechmann 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
2.
Lakon, Cynthia M., et al.. (2024). Social network tie functions of social support and social influence and adult smoking abstinence. PLoS ONE. 19(3). e0296458–e0296458.
3.
Davis, Brennan & Cornelia Pechmann. (2023). When Students Patronize Fast-Food Restaurants near School: The Effects of Identification with the Student Community, Social Activity Spaces and Social Liability Interventions. International Journal of Environmental Research and Public Health. 20(5). 4511–4511. 2 indexed citations
4.
Pechmann, Cornelia, et al.. (2022). Understanding Hesitation to Use Nicotine Replacement Therapy: A Content Analysis of Posts in Online Tobacco-Cessation Support Groups. American Journal of Health Promotion. 37(1). 30–38. 3 indexed citations
5.
Pechmann, Cornelia, et al.. (2020). Facebook Recruitment Using Zip Codes to Improve Diversity in Health Research: Longitudinal Observational Study. Journal of Medical Internet Research. 22(6). e17554–e17554. 18 indexed citations
6.
Pechmann, Cornelia, et al.. (2020). Perceived Costs versus Actual Benefits of Demographic Self‐Disclosure in Online Support Groups. Journal of Consumer Psychology. 31(3). 450–477. 10 indexed citations
7.
Timberlake, David S. & Cornelia Pechmann. (2020). Broadcast reach and self-reported exposure to court-ordered corrective statements on cigarette harms. Preventive Medicine Reports. 19. 101127–101127. 1 indexed citations
8.
Pechmann, Cornelia, et al.. (2019). The Use of Web-Based Support Groups Versus Usual Quit-Smoking Care for Men and Women Aged 21-59 Years: Protocol for a Randomized Controlled Trial. SHILAP Revista de lepidopterología. 9(1). e16417–e16417. 5 indexed citations
9.
Brown‐Johnson, Cati, et al.. (2017). Latino Adults’ Perspectives on Treating Tobacco Use Via Social Media. JMIR mhealth and uhealth. 5(2). e12–e12. 10 indexed citations
10.
Pechmann, Cornelia, et al.. (2017). Self-Disclosure Asymmetry in Online Communities: a Challenge of Demographic Diversity. ACR North American Advances. 1 indexed citations
11.
Timberlake, David S., et al.. (2017). Linking the content to demographic reach of online advertising of electronic nicotine delivery systems. Tobacco Control. 27(4). 463–469. 2 indexed citations
12.
Catlin, Jesse R., Cornelia Pechmann, & Eric P. Brass. (2011). The Influence of Need for Cognition and Principal Display Panel Factors on Over-the-Counter Drug Facts Label Comprehension. Health Communication. 27(3). 264–272. 10 indexed citations
13.
Prochaska, Judith J., et al.. (2011). Twitter=quitter? An analysis of Twitter quit smoking social networks. Tobacco Control. 21(4). 447–449. 82 indexed citations
14.
Carpenter, Christopher S. & Cornelia Pechmann. (2011). Exposure to the Above the Influence Antidrug Advertisements and Adolescent Marijuana Use in the United States, 2006–2008. American Journal of Public Health. 101(5). 948–954. 30 indexed citations
15.
Zhao, Guangzhi & Cornelia Pechmann. (2006). Regulatory Focus, Feature Positive Effect, and Message Framing. ACR North American Advances. 3 indexed citations
16.
Pechmann, Cornelia & Ellen Reibling. (2000). Planning an Effective Anti-Smoking Mass Media Campaign Targeting Adolescents. Journal of Public Health Management and Practice. 6(3). 80–94. 60 indexed citations
17.
Pechmann, Cornelia. (2000). Anti-smoking advertising campaigns targeting youth: case studies from USA and Canada. Tobacco Control. 9(90002). 18ii–31. 73 indexed citations
18.
Pechmann, Cornelia & S. Ratneshwar. (1993). Advertising versus prior beliefs : does cigarette and anti-smoking advertising alter young adolescents' perceptions of smokers?. Marketing Science Institute eBooks. 1 indexed citations
19.
Pechmann, Cornelia & David W. Stewart. (1990). The development of a contingency model of comparative advertising. Marketing Science Institute eBooks. 15 indexed citations
20.
Pechmann, Cornelia. (1990). How Do Consumer Inferences Moderate the Effectiveness of Two-Sided Messages. ACR North American Advances. 3 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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