Patricia A. Stout

1.3k citations
32 papers · 970 indexed · h-index 18
Topics
Consumer Behavior in Brand Consumption and Identification (11 papers)Media Influence and Health (8 papers)Digital Marketing and Social Media (5 papers)

In The Last Decade

Patricia A. Stout

30 papers receiving 854 citations

Peers

Patricia A. Stout
Comparison fields: 5 of 90
  • Sociology and Political Science 461
  • Marketing 415
  • Social Psychology 190
  • Literature and Literary Theory 148
  • Gender Studies 116
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Citations per year

Countries citing papers authored by Patricia A. Stout

Since Specialization
Citations

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

Fields of papers citing papers by Patricia A. Stout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia A. Stout. 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 Patricia A. Stout. The network helps show where Patricia A. Stout may publish in the future.

Co-authorship network of co-authors of Patricia A. Stout

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia A. Stout. A scholar is included among the top collaborators of Patricia A. Stout 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 Patricia A. Stout. Patricia A. Stout 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
#WorkIndexed citations
1 25
2 5
3 18
4 17
5 38
6 25
7 34
8
Preattentive Processing of Web Advertising
11
9 6
10 38
11 138
12
Health promotion and interactive technology: Do gender differences matter in message design?
1
13
Promotion and Senior Women Faculty: A Study of the Status of Tenured Faculty Women in Six Academic Units at The University of Texas at Austin
1
14 59
15
Anxiety Associated With Social Issues: the Development of a Scale to Measure an Antecedent Construct
3
16
Anxiety associated with social issues: The development of a scale to measure an antecedent
2
17
An Extended Perspective on the Role of Emotion in Advertising Processing
17
18
The proceedings of the 1990 conference of the American Academy of Advertising
19
19 39
20 87

About Patricia A. Stout

Patricia A. Stout is a scholar working on Marketing, Applied Psychology and Literature and Literary Theory, having authored 32 papers that have together received 970 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (11 papers), Media Influence and Health (8 papers) and Digital Marketing and Social Media (5 papers). The work is most often cited by research in Marketing (415 citations), Applied Psychology (89 citations) and Information Systems and Management (113 citations). Patricia A. Stout has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include John D. Leckenby, Nancy A. Jennings, Chan Yun Yoo, José Luis Villca Villegas, Kihan Kim, Hyojin Kim, Danae Manika, Jennifer Gerard Ball, Roland T. Rust and Wei‐Na Lee. Their work appears in journals such as Schizophrenia Bulletin, Journal of Adolescent Health and Journal of Advertising.

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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