Daniel Nunan
- Sociology and Political Science top 1%
- Marketing top 0.5%
- Organizational Behavior and Human Resource Management top 1%
- Information Systems and Management top 0.5%
- Strategy and Management top 2%
- Co-authors
- Naresh K. MalhotraDavid F. BirksMariaLaura Di DomenicoGiandomenico Di DomenicoJason SitCristiana Raquel LagesAlessio IshizakaElizabeth Daniel
- Topics
- Digital Marketing and Social Media (5 papers)Misinformation and Its Impacts (4 papers)Technology Adoption and User Behaviour (4 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Partner nations
- United KingdomSlovakiaNew Zealand
In The Last Decade
Daniel Nunan
35 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Sociology and Political Science 1.3k
- Marketing 1.1k
- Organizational Behavior and Human Resource Management 709
- Information Systems and Management 529
- Strategy and Management 470
Countries citing papers authored by Daniel Nunan
This map shows the geographic impact of Daniel Nunan'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 Daniel Nunan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nunan more than expected).
Fields of papers citing papers by Daniel Nunan
This network shows the impact of papers produced by Daniel Nunan. 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 Daniel Nunan. The network helps show where Daniel Nunan may publish in the future.
Co-authorship network of co-authors of Daniel Nunan
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nunan. A scholar is included among the top collaborators of Daniel Nunan 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 Daniel Nunan. Daniel Nunan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 28 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | Fake news, social media and marketing: A systematic reviewbreakdown → | 248 |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 150 | |
| 12 | 33 | |
| 13 | 6 | |
| 14 | 41 | |
| 15 | 2 | |
| 16 | 119 | |
| 17 | 19 | |
| 18 | 108 | |
| 19 | 15 | |
| 20 | Marketing Research: An Applied Approachbreakdown → | 1559 |
About Daniel Nunan
Daniel Nunan is a scholar working on Information Systems and Management, Management of Technology and Innovation and Marketing, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (5 papers), Misinformation and Its Impacts (4 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Marketing (1.1k citations), Information Systems and Management (529 citations) and Organizational Behavior and Human Resource Management (709 citations). Daniel Nunan has collaborated with scholars based in United Kingdom, Slovakia and New Zealand. Frequent co-authors include Naresh K. Malhotra, David F. Birks, MariaLaura Di Domenico, Giandomenico Di Domenico, Jason Sit, Cristiana Raquel Lages, Alessio Ishizaka, Elizabeth Daniel, Valentina Pitardi and Yüksel Ekinci. Their work appears in journals such as Journal of Business Research, Journal of Business Ethics and Journal of Management Studies.
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.