Samantha Murdy
- Sociology and Political Science top 5%
- Marketing top 10%
- Organizational Behavior and Human Resource Management top 10%
- Social Psychology
- Artificial Intelligence
- Co-authors
- Matthew AlexanderDerek BryceSteven PikeEmi MoriuchiTaeshik GongJin Nam ChoiIan LingsTan Vo‐Thanh
- Topics
- Diverse Aspects of Tourism Research (8 papers)Digital Marketing and Social Media (5 papers)Customer Service Quality and Loyalty (4 papers)
- Cited by
- Tourism, Leisure and Hospitality ManagementMarketingOrganizational Behavior and Human Resource Management
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Samantha Murdy
16 papers receiving 393 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Sociology and Political Science 288
- Marketing 99
- Organizational Behavior and Human Resource Management 91
- Social Psychology 62
- Artificial Intelligence 48
Countries citing papers authored by Samantha Murdy
This map shows the geographic impact of Samantha Murdy'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 Samantha Murdy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samantha Murdy more than expected).
Fields of papers citing papers by Samantha Murdy
This network shows the impact of papers produced by Samantha Murdy. 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 Samantha Murdy. The network helps show where Samantha Murdy may publish in the future.
Co-authorship network of co-authors of Samantha Murdy
This figure shows the co-authorship network connecting the top 25 collaborators of Samantha Murdy. A scholar is included among the top collaborators of Samantha Murdy 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 Samantha Murdy. Samantha Murdy 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 | 1 | |
| 3 | Understanding tourist barriers and personality influences in embracing generative AI for travel planning and decision-makingbreakdown → | 23 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | The role of robots in the service industry: Factors affecting human-robot interactionsbreakdown → | 44 |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 26 | |
| 11 | 47 | |
| 12 | 44 | |
| 13 | 10 | |
| 14 | 50 | |
| 15 | 32 | |
| 16 | 64 | |
| 17 | 28 |
About Samantha Murdy
Samantha Murdy is a scholar working on Geography, Planning and Development, Tourism, Leisure and Hospitality Management and Marketing, having authored 17 papers that have together received 409 indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (8 papers), Digital Marketing and Social Media (5 papers) and Customer Service Quality and Loyalty (4 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (22 citations), Marketing (99 citations) and Organizational Behavior and Human Resource Management (91 citations). Samantha Murdy has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Matthew Alexander, Derek Bryce, Steven Pike, Emi Moriuchi, Taeshik Gong, Jin Nam Choi, Ian Lings, Tan Vo‐Thanh, Siamak Seyfi and Myung Ja Kim. Their work appears in journals such as Journal of Business Research, Tourism Management and Annals of Tourism Research.
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.