Nik Thompson
Impact in
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- Technology Adoption and User Behaviour
- Communication top 5%
- Social Media and Politics
Papers in
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- Information and Cyber Security 7
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- Privacy, Security, and Data Protection 8
- Digital Marketing and Social Media 3
- Impact of Technology on Adolescents 3
- Co-authors
- Tanya McGill (12 shared papers)Xuequn Wang (3 shared papers)David Murray (5 shared papers)Vidyasagar Potdar (2 shared papers)Michael Boxer (1 shared paper)Kevin Lee (1 shared paper)Sean B. Maynard (2 shared papers)Richard Baskerville (1 shared paper)
In The Last Decade
Nik Thompson
30 papers receiving 637 citations
Peers
Comparison fields: 5 of 87
- Information Systems and Management 109
- Communication 100
- Human-Computer Interaction 66
- Information Systems 225
- Sociology and Political Science 350
Countries citing papers authored by Nik Thompson
This map shows the geographic impact of Nik Thompson'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 Nik Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nik Thompson more than expected).
Fields of papers citing papers by Nik Thompson
This network shows the impact of papers produced by Nik Thompson. 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 Nik Thompson. The network helps show where Nik Thompson may publish in the future.
Co-authors
The 10 scholars most cited alongside Nik Thompson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2017 | 103 | |
| 3 | 2015 | 73 | |
| 4 | 2022 | 65 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 37 | |
| 7 | 2017 | 37 | |
| 8 | 2020 | 33 | |
| 9 | 2021 | 23 | |
| 10 | 2016 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2012 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2008 | 6 | |
| 18 | 2017 | 6 | |
| 19 | Herd Behaviour in Cryptocurrency Markets | 2020 | 5 |
| 20 | 2013 | 4 |
About Nik Thompson
Nik Thompson is a scholar working on Information Systems, Sociology and Political Science, Information Systems and Management, Human-Computer Interaction and Artificial Intelligence, having authored 32 papers that have together received 667 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (8 papers), Technology Adoption and User Behaviour (7 papers), Information and Cyber Security (7 papers), Digital Marketing and Social Media (3 papers), Impact of Technology on Adolescents (3 papers), Digital Communication and Language (3 papers), Advanced Malware Detection Techniques (3 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Information Systems and Management (109 citations), Communication (100 citations), Human-Computer Interaction (66 citations), Information Systems (225 citations) and Sociology and Political Science (350 citations). Nik Thompson has collaborated with scholars based in Australia, Sri Lanka and Indonesia. Frequent co-authors include Tanya McGill, Xuequn Wang, David Murray, Vidyasagar Potdar, Michael Boxer, Kevin Lee, Sean B. Maynard, Richard Baskerville, Atif Ahmad and Duy Dang-Pham. Their work appears in journals such as Computers & Security, Journal of the Association for Information Systems, Government Information Quarterly, Journal of Computer Information Systems and Behaviour and Information Technology.
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.