Chris Culnane

464 citations
24 papers · 145 · h-index 8

Impact in

Papers in

Chris Culnane

22 papers receiving 135 citations

Peers

Chris Culnane
Comparison fields: 5 of 39
  • Health Informatics 4
  • Artificial Intelligence 97
  • Information Systems 50
  • Computer Vision and Pattern Recognition 42
  • Sociology and Political Science 38
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Yaser Keneshloo United States
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Aleksandra Piktus Germany
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Michael Zhu United States
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Citations per field
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Citations per year

Countries citing papers authored by Chris Culnane

Since Specialization
Citations

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

Fields of papers citing papers by Chris Culnane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Chris Culnane, 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 Chris Culnane Line = papers co-authored together Chris Culnane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201521
2 201418
3 202012
4
A supervised verifiable voting protocol for the Victorian electoral commission
201212
5 201912
6 200711
7
Using Prêt à Voter in Victorian state elections
20128
8 20227
9 20167
10 20116
11 20075
12 20085
13 20225
14
Testing Voters' Understanding of a Security Mechanism Used in Verifiable Voting
20134
15
vVote: a Verifiable Voting System (DRAFT).
20142
16
A comparative study of security and privacy in electronic health records
20202
17 20102
18 20212
19
A hybrid touch interface for Prêt à Voter
20121
20
Faster print on demand for Prêt à Voter
20141

About Chris Culnane

Chris Culnane is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 24 papers that have together received 145 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (13 papers), Privacy, Security, and Data Protection (9 papers), Cryptography and Data Security (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Privacy-Preserving Technologies in Data (4 papers), Digital Media Forensic Detection (3 papers), Chaos-based Image/Signal Encryption (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (97 citations), Information Systems (50 citations), Computer Vision and Pattern Recognition (42 citations) and Sociology and Political Science (38 citations). Chris Culnane has collaborated with scholars based in United Kingdom, Australia and Luxembourg. Frequent co-authors include Steve Schneider, Vanessa Teague, Peter Y. A. Ryan, Anthony T. S. Ho, Helen Treharne, Zhe Xia, James Heather, Olivier Pereira, Aleksander Essex and Rachel Canaway. Their work appears in journals such as IEEE Security & Privacy, ACM Transactions on Information and System Security, International Journal of Medical Informatics, Computer law & security review and SSRN Electronic Journal.

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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