Gail Tom

1.7k citations
35 papers · 1.2k · h-index 19

Impact in

  • Marketing top 1%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Environmental Sustainability in Business
    • Consumer Market Behavior and Pricing

Papers in

    • Consumer Behavior in Brand Consumption and Identification 9
    • Consumer Retail Behavior Studies 7
    • Consumer Market Behavior and Pricing 3
    • Color perception and design 3

Gail Tom

34 papers receiving 1.0k citations

Peers

Gail Tom
Comparison fields: 5 of 114
  • Marketing 610
  • General Decision Sciences 43
  • Information Systems and Management 140
  • Organizational Behavior and Human Resource Management 205
  • Applied Psychology 58
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Citations per field
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Citations per year

Countries citing papers authored by Gail Tom

Since Specialization
Citations

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

Fields of papers citing papers by Gail Tom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Gail Tom, 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 Gail Tom Line = papers co-authored together Gail Tom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998252
2 1995114
3 199281
4 199179
5 199969
6 199767
7 198862
8
Types of Humor in Television and Magazine Advertising
200149
9 200748
10 198745
11 199733
12 199032
13 198132
14 199531
15 199427
16 200920
17 197519
18 197519
19 200418
20
Body image, relationships, and time.
200517

About Gail Tom

Gail Tom is a scholar working on Marketing, Social Psychology, Sociology and Political Science, Education and Organizational Behavior and Human Resource Management, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (9 papers), Consumer Retail Behavior Studies (7 papers), Customer Service Quality and Loyalty (6 papers), Evaluation of Teaching Practices (4 papers), Consumer Market Behavior and Pricing (3 papers), Color perception and design (3 papers), Management and Marketing Education (3 papers) and Media, Gender, and Advertising (3 papers). The work is most often cited by research in Marketing (610 citations), General Decision Sciences (43 citations), Information Systems and Management (140 citations), Organizational Behavior and Human Resource Management (205 citations) and Applied Psychology (58 citations). Gail Tom has collaborated with scholars based in United States, Latvia and Hungary. Frequent co-authors include Anita Eves, Norm Borin, Margaret Rucker, Jim Cook, Ryan D. King, Michael Burns, Stephanie Tom Tong, Alice P. Chen, Jian Shao and Leo L. Pipino. Their work appears in journals such as The Journal of Psychology, Journal of Consumer Marketing, Psychology and Marketing, Journal of Services Marketing and Journal of Personality and Social Psychology.

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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