Marisa Maio Mackay
- Marketing top 5%
- Organizational Behavior and Human Resource Management top 5%
- Sociology and Political Science top 10%
- Information Systems and Management top 5%
- Strategy and Management
- Co-authors
- Sharyn Rundle‐ThieleKieran C. O’DohertyMike MetcalfeSally Rao HillHeejin LeeSangjo OhSherah KurniaYang Song
- Topics
- Consumer Behavior in Brand Consumption and Identification (4 papers)Digital Marketing and Social Media (3 papers)Consumer Market Behavior and Pricing (3 papers)
- Cited by
- MarketingOrganizational Behavior and Human Resource ManagementInformation Systems and Management
- Journals
- Technological Forecasting and Social ChangeJournal of the Association for Information SystemsJournal of Services Marketing
- Partner nations
- AustraliaSouth Korea
In The Last Decade
Marisa Maio Mackay
9 papers receiving 310 citations
Peers
Comparison fields: 5 of 48
- Marketing 270
- Organizational Behavior and Human Resource Management 198
- Sociology and Political Science 187
- Information Systems and Management 62
- Strategy and Management 55
Countries citing papers authored by Marisa Maio Mackay
This map shows the geographic impact of Marisa Maio Mackay'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 Marisa Maio Mackay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa Maio Mackay more than expected).
Fields of papers citing papers by Marisa Maio Mackay
This network shows the impact of papers produced by Marisa Maio Mackay. 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 Marisa Maio Mackay. The network helps show where Marisa Maio Mackay may publish in the future.
Co-authorship network of co-authors of Marisa Maio Mackay
This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Maio Mackay. A scholar is included among the top collaborators of Marisa Maio Mackay 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 Marisa Maio Mackay. Marisa Maio Mackay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 24 | |
| 3 | 16 | |
| 4 | Exploring the characteristics of mobile data service users in Australia | 1 |
| 5 | 17 | |
| 6 | 45 | |
| 7 | 160 | |
| 8 | 92 | |
| 9 | 7 |
About Marisa Maio Mackay
Marisa Maio Mackay is a scholar working on Marketing, Information Systems and Management and Media Technology, having authored 9 papers that have together received 374 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (4 papers), Digital Marketing and Social Media (3 papers) and Consumer Market Behavior and Pricing (3 papers). The work is most often cited by research in Marketing (270 citations), Organizational Behavior and Human Resource Management (198 citations) and Information Systems and Management (62 citations). Marisa Maio Mackay has collaborated with scholars based in Australia and South Korea. Frequent co-authors include Sharyn Rundle‐Thiele, Kieran C. O’Doherty, Mike Metcalfe, Sally Rao Hill, Heejin Lee, Sangjo Oh, Sherah Kurnia, Yang Song, Byron Sharp and Jenni Romaniuk. Their work appears in journals such as Technological Forecasting and Social Change, Journal of the Association for Information Systems and Journal of Services 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.