Elaine Mackey
Impact in
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- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
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- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 1
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- Privacy, Security, and Data Protection 7
- Co-authors
- Mark Elliot (11 shared papers)Kieron O’Hara (5 shared papers)Miranda Mourby (1 shared paper)Jessica Bell (1 shared paper)H. Jeff Smith (1 shared paper)Susan Wallace (1 shared paper)Jane Kaye (1 shared paper)Christine M. O’Keefe (2 shared papers)
- Journals
- Trials (1 paper)Journal of Official Statistics (1 paper)PubMed (2 papers)Computer law & security review (2 papers)ePrints Soton (University of Southampton) (2 papers)
- Partner nations
- United KingdomSwedenAustralia
In The Last Decade
Elaine Mackey
14 papers receiving 134 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 77
- Health Informatics 3
- Management Science and Operations Research 24
- Computer Science Applications 9
- Sociology and Political Science 67
Countries citing papers authored by Elaine Mackey
This map shows the geographic impact of Elaine Mackey'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 Elaine Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Mackey more than expected).
Fields of papers citing papers by Elaine Mackey
This network shows the impact of papers produced by Elaine Mackey. 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 Elaine Mackey. The network helps show where Elaine Mackey may publish in the future.
Co-authors
The 25 scholars most cited alongside Elaine Mackey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 52 | |
| 2 | The Anonymisation Decision-Making Framework | 2016 | 35 |
| 3 | 2018 | 19 | |
| 4 | 2013 | 8 | |
| 5 | 2017 | 8 | |
| 6 | The anonymisation decision-making framework 2nd Edition: European practitioners' guide | 2020 | 5 |
| 7 | 2021 | 4 | |
| 8 | 2016 | 3 | |
| 9 | An Application of Game Theory to Understanding Statistical Disclosure Events | 2009 | 3 |
| 10 | 2024 | 2 | |
| 11 | The application of Game theory to disclosure events | 2010 | 2 |
| 12 | The Anonymisation Decision Making Framework: European Practitioners' Guide (2nd edition) | 2020 | 2 |
| 13 | 2024 | 1 | |
| 14 | Whose Data Is It? Personal Data and Privacy | 2003 | 1 |
About Elaine Mackey
Elaine Mackey is a scholar working on Artificial Intelligence, Sociology and Political Science, Epidemiology, Information Systems and Marketing, having authored 14 papers that have together received 145 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Privacy, Security, and Data Protection (7 papers), Chronic Disease Management Strategies (2 papers), Consumer Market Behavior and Pricing (1 paper), Insurance and Financial Risk Management (1 paper), Forensic and Genetic Research (1 paper), Data Quality and Management (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Artificial Intelligence (77 citations), Health Informatics (3 citations), Management Science and Operations Research (24 citations), Computer Science Applications (9 citations) and Sociology and Political Science (67 citations). Elaine Mackey has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Mark Elliot, Kieron O’Hara, Miranda Mourby, Jessica Bell, H. Jeff Smith, Susan Wallace, Jane Kaye, Christine M. O’Keefe, Chris Dibben and Charles D. Raab. Their work appears in journals such as Trials, Journal of Official Statistics, PubMed, Computer law & security review and ePrints Soton (University of Southampton).
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.