Eva M. Hyatt
- Marketing top 1%
- Sociology and Political Science top 5%
- Social Psychology top 5%
- Genetics top 10%
- Food Science top 5%
- Co-authors
- Michael J. DotsonLawrence L. GarberRichard G. StarrÜnal Ö. BoyaTerence A. ShimpDavid J. SnyderM. Elizabeth BlairLubna Nafees
- Topics
- Consumer Behavior in Brand Consumption and Identification (15 papers)Color perception and design (7 papers)Consumer Market Behavior and Pricing (5 papers)
- Partner nations
- United StatesNew ZealandIndia
In The Last Decade
Eva M. Hyatt
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Marketing 523
- Sociology and Political Science 341
- Social Psychology 264
- Genetics 232
- Food Science 181
Countries citing papers authored by Eva M. Hyatt
This map shows the geographic impact of Eva M. Hyatt'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 Eva M. Hyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva M. Hyatt more than expected).
Fields of papers citing papers by Eva M. Hyatt
This network shows the impact of papers produced by Eva M. Hyatt. 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 Eva M. Hyatt. The network helps show where Eva M. Hyatt may publish in the future.
Co-authorship network of co-authors of Eva M. Hyatt
This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Hyatt. A scholar is included among the top collaborators of Eva M. Hyatt 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 Eva M. Hyatt. Eva M. Hyatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 28 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 41 | |
| 8 | 28 | |
| 9 | 25 | |
| 10 | 18 | |
| 11 | GENDER DIFFERENCES IN STUDENTS' PERCEPTIONS OF GROUP LEARNING EXPERIENCES | 6 |
| 12 | An Exploratory Investigation of the Shopping Behavior of Female-To-Male Consumers: Before, During, and After Transition | 1 |
| 13 | 16 | |
| 14 | 99 | |
| 15 | 46 | |
| 16 | 152 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | Consumer Stereotyping: the Cognitive Bases of the Social Symbolism of Products | 20 |
| 20 | 5 |
About Eva M. Hyatt
Eva M. Hyatt is a scholar working on Marketing, Tourism, Leisure and Hospitality Management and Management of Technology and Innovation, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (15 papers), Color perception and design (7 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in Marketing (523 citations), Tourism, Leisure and Hospitality Management (42 citations) and Sensory Systems (122 citations). Eva M. Hyatt has collaborated with scholars based in United States, New Zealand and India. Frequent co-authors include Michael J. Dotson, Lawrence L. Garber, Richard G. Starr, Ünal Ö. Boya, Terence A. Shimp, David J. Snyder, M. Elizabeth Blair, Lubna Nafees, Stella E. Anderson and Julie Clark. Their work appears in journals such as Journal of Consumer Research, Journal of Business Research and Food Quality and Preference.
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.