Petya Eckler

707 citations
17 papers · 486 indexed · h-index 9

Impact in

  • Marketing top 5%
    • Consumer Behavior in Brand Consumption and Identification
    • Social Media and Politics

Papers in

Petya Eckler

16 papers receiving 451 citations

Peers

Petya Eckler
Comparison fields: 5 of 80
  • Marketing 119
  • Communication 80
  • Health 70
  • Applied Psychology 42
  • Literature and Literary Theory 81
Replace Christopher J. McKinley with:
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Citations per field
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Citations per year

Countries citing papers authored by Petya Eckler

Since Specialization
Citations

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

Fields of papers citing papers by Petya Eckler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Petya Eckler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Petya Eckler Line = papers co-authored together Petya Eckler links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20221
2 20176
3 20169
4 201653
5 201532
6
Facebook and College Women’s Bodies: Social Media’s Influence on Body Image and Disordered Eating
20140
7 201342
8 20138
9
Facebook use, disordered eating and body image among college women in the United States
20132
10 20122
11 2011225
12 201062
13 20107
14 201010
15 200925
16
Effects of congruity, sponsor type, and news story valence on psychological processing of e-sponsors
20091
17
The effect of perceived susceptibility on autonomic responses to and memory for health-related news
20071

About Petya Eckler

Petya Eckler is a scholar working on Communication, Information Systems and Management, Applied Psychology, Literature and Literary Theory and Marketing, having authored 17 papers that have together received 486 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (5 papers), Technology Adoption and User Behaviour (4 papers), Media Influence and Health (4 papers), Eating Disorders and Behaviors (3 papers), Digital Marketing and Social Media (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Media Studies and Communication (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Marketing (119 citations), Communication (80 citations), Health (70 citations), Applied Psychology (42 citations) and Literature and Literary Theory (81 citations). Petya Eckler has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Paul D. Bolls, Kathleen F. Janz, Linda Snetselaar, Shelly Campo, Jingzhen Yang, Kevin Wise, Anastasia Kononova, Alessio Signorini, Ni Zhang and Kevin D. Everett. Their work appears in journals such as Journal of Interactive Advertising, Journal of Medical Internet Research, Journal of Youth Studies, Women & Health and Communication Studies.

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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