Veronica L. Thomas

1.4k citations
50 papers · 991 · 1 hit paper · h-index 17

Impact in

Papers in

Veronica L. Thomas

47 papers receiving 935 citations

Veronica L. Thomas's Hit Papers

Close Encounters of the AI Kind: Use of AI Influencers As Brand Endorsers 2020 · 276 citations
2760+2+4Years since publication50100150200250

Peers

Veronica L. Thomas
Comparison fields: 5 of 72
  • Marketing 520
  • Information Systems and Management 130
  • Literature and Literary Theory 179
  • Sociology and Political Science 640
  • Gender Studies 117
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Citations per field
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Citations per year

Countries citing papers authored by Veronica L. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Veronica L. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica L. Thomas. 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 Veronica L. Thomas. The network helps show where Veronica L. Thomas may publish in the future.

Co-authors

The 17 scholars most cited alongside Veronica L. Thomas, 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 Veronica L. Thomas Line = papers co-authored together Veronica L. Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Close Encounters of the AI Kind: Use of AI Influencers As Brand Endorsers
Hit paper breakdown →
2020276
2 201367
3 201755
4 201646
5 201940
6 202339
7 202238
8 201331
9 202026
10 202026
11 202123
12 202123
13 202422
14 201622
15 201520
16 201819
17 201716
18 202315
19 201515
20 201315

About Veronica L. Thomas

Veronica L. Thomas is a scholar working on Marketing, Sociology and Political Science, Social Psychology, Gender Studies and Cognitive Neuroscience, having authored 50 papers that have together received 991 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (30 papers), Digital Marketing and Social Media (21 papers), Psychology of Moral and Emotional Judgment (7 papers), Customer Service Quality and Loyalty (6 papers), Media, Gender, and Advertising (5 papers), Death Anxiety and Social Exclusion (5 papers), Management and Marketing Education (4 papers) and Gender, Feminism, and Media (4 papers). The work is most often cited by research in Marketing (520 citations), Information Systems and Management (130 citations), Literature and Literary Theory (179 citations), Sociology and Political Science (640 citations) and Gender Studies (117 citations). Veronica L. Thomas has collaborated with scholars based in United States, Ghana and Latvia. Frequent co-authors include Kendra Fowler, Jennifer Wiggins Johnson, Robert D. Jewell, Dora E. Bock, Jeremy S. Wolter, Pei Xu, Pamela E. Grimm, Hua Chang, Richard H. Kolbe and Erin Steffes. Their work appears in journals such as Psychology and Marketing, Journal of Advertising, Journal of Business Research, Journal of Consumer Affairs and European Journal of Marketing.

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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