Ciara Rafferty
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Hardware and Architecture top 10%
- Electrical and Electronic Engineering
- Co-authors
- Ayesha KhalidMáire O׳NeillMáire O’NeillWeiqiang LiuJames HoweFrancesco RegazzoniNeil HanleyÉ. P. McCoy
- Topics
- Cryptography and Data Security (9 papers)Chaos-based Image/Signal Encryption (6 papers)Cryptography and Residue Arithmetic (5 papers)
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsAnaesthesia
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ciara Rafferty
15 papers receiving 296 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 227
- Information Systems 140
- Computer Vision and Pattern Recognition 55
- Hardware and Architecture 31
- Electrical and Electronic Engineering 31
Countries citing papers authored by Ciara Rafferty
This map shows the geographic impact of Ciara Rafferty'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 Ciara Rafferty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciara Rafferty more than expected).
Fields of papers citing papers by Ciara Rafferty
This network shows the impact of papers produced by Ciara Rafferty. 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 Ciara Rafferty. The network helps show where Ciara Rafferty may publish in the future.
Co-authorship network of co-authors of Ciara Rafferty
This figure shows the co-authorship network connecting the top 25 collaborators of Ciara Rafferty. A scholar is included among the top collaborators of Ciara Rafferty 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 Ciara Rafferty. Ciara Rafferty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 100 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 37 | |
| 14 | 8 | |
| 15 | 61 | |
| 16 | 8 | |
| 17 | 28 | |
| 18 | 3 |
About Ciara Rafferty
Ciara Rafferty is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 302 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Cryptography and Residue Arithmetic (5 papers). The work is most often cited by research in Artificial Intelligence (227 citations), Information Systems (140 citations) and Anesthesiology and Pain Medicine (28 citations). Ciara Rafferty has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Ayesha Khalid, Máire O׳Neill, Máire O’Neill, Weiqiang Liu, James Howe, Francesco Regazzoni, Neil Hanley, É. P. McCoy, Henry Bunting and R. K. Mirakhur. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Anaesthesia.
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.