Gina A. Tran
- Sociology and Political Science top 1%
- Marketing top 1%
- Information Systems and Management top 0.5%
- Organizational Behavior and Human Resource Management top 5%
- Artificial Intelligence top 10%
- Co-authors
- David StruttonElvira IsmagilovaPhilipp A. RauschnabelJenna JacobsonJari SaloJamie CarlsonRaffaele FilieriHajer Kéfi
- Topics
- Digital Marketing and Social Media (10 papers)Consumer Behavior in Brand Consumption and Identification (7 papers)Technology Adoption and User Behaviour (6 papers)
- Journals
- International Journal of Information ManagementJournal of Retailing and Consumer ServicesPsychology and Marketing
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Gina A. Tran
14 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Sociology and Political Science 1.1k
- Marketing 635
- Information Systems and Management 474
- Organizational Behavior and Human Resource Management 210
- Artificial Intelligence 163
Countries citing papers authored by Gina A. Tran
This map shows the geographic impact of Gina A. Tran'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 Gina A. Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina A. Tran more than expected).
Fields of papers citing papers by Gina A. Tran
This network shows the impact of papers produced by Gina A. Tran. 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 Gina A. Tran. The network helps show where Gina A. Tran may publish in the future.
Co-authorship network of co-authors of Gina A. Tran
This figure shows the co-authorship network connecting the top 25 collaborators of Gina A. Tran. A scholar is included among the top collaborators of Gina A. Tran 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 Gina A. Tran. Gina A. Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | Setting the future of digital and social media marketing research: Perspectives and research propositionsbreakdown → | 1257 |
| 6 | 8 | |
| 7 | 52 | |
| 8 | 126 | |
| 9 | 46 | |
| 10 | 6 | |
| 11 | 33 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 31 | |
| 15 | Collaborative Service Learning: A Winning Proposition for Industry and Education. | 10 |
About Gina A. Tran
Gina A. Tran is a scholar working on Information Systems and Management, Marketing and Organizational Behavior and Human Resource Management, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (10 papers), Consumer Behavior in Brand Consumption and Identification (7 papers) and Technology Adoption and User Behaviour (6 papers). The work is most often cited by research in Marketing (635 citations), Information Systems and Management (474 citations) and Sociology and Political Science (1.1k citations). Gina A. Tran has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Strutton, Elvira Ismagilova, Philipp A. Rauschnabel, Jenna Jacobson, Jari Salo, Jamie Carlson, Raffaele Filieri, Hajer Kéfi, Vikram Kumar and Mohammad M. Rahman. Their work appears in journals such as International Journal of Information Management, Journal of Retailing and Consumer Services and Psychology and 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.