Mark Elliot

110 papers receiving 1.3k citations

Peers

Mark Elliot
Comparison fields: 5 of 134
  • Management Science and Operations Research 260
  • Artificial Intelligence 546
  • Health Informatics 19
  • Statistics and Probability 91
  • Computer Science Applications 63
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Jann Spiess United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Elliot

Since Specialization
Citations

This map shows the geographic impact of Mark Elliot'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 Mark Elliot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Elliot more than expected).

Fields of papers citing papers by Mark Elliot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Elliot. 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 Mark Elliot. The network helps show where Mark Elliot may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Elliot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Elliot Line = papers co-authored together Mark Elliot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202194
2 200292
3 201583
4 201182
5 201870
6 201854
7
The Anonymisation Decision-Making Framework
201654
8
Scenarios of attack: the data intruder's perspective on statistical disclosure risk
199953
9 201337
10 201636
11 201835
12 201833
13 200731
14
Special uniques, random uniques and sticky populations: some counterintuitive effects of geographical detail on disclosure risk
199828
15 200428
16 201528
17 200028
18 200227
19 201926
20 202223

About Mark Elliot

Mark Elliot is a scholar working on Artificial Intelligence, Sociology and Political Science, Management Science and Operations Research, Computer Networks and Communications and Information Systems, having authored 117 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (34 papers), Data Quality and Management (15 papers), Privacy, Security, and Data Protection (12 papers), Cryptography and Data Security (6 papers), Environmental Education and Sustainability (6 papers), Data-Driven Disease Surveillance (5 papers), Advanced Data Storage Technologies (5 papers) and Healthcare Policy and Management (4 papers). The work is most often cited by research in Management Science and Operations Research (260 citations), Artificial Intelligence (546 citations), Health Informatics (19 citations), Statistics and Probability (91 citations) and Computer Science Applications (63 citations). Mark Elliot has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Angela Dale, Rebecca Rhead, C. J. Skinner, Elaine Mackey, Paul Upham, Kingsley Purdam, George T. Duncan, Juan‐José Salazar‐González, Nick Shryane and Helen Norman. Their work appears in journals such as International Journal for Population Data Science, Social Science Research, Journal of the Royal Statistical Society Series A (Statistics in Society), Humanities and Social Sciences Communications and Social Science Quarterly.

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.

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