Máire O’Neill
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Weiqiang LiuFatih KurugöllüCiara RaffertyAyesha KhalidNeil HanleyEarl E. SwartzlanderChenghua WangElizabeth O’Sullivan
- Topics
- Coding theory and cryptography (10 papers)Cryptography and Data Security (9 papers)Video Coding and Compression Technologies (7 papers)
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Máire O’Neill
27 papers receiving 483 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 268
- Computer Vision and Pattern Recognition 164
- Information Systems 141
- Electrical and Electronic Engineering 115
- Computational Theory and Mathematics 84
Countries citing papers authored by Máire O’Neill
This map shows the geographic impact of Máire O’Neill'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 Máire O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máire O’Neill more than expected).
Fields of papers citing papers by Máire O’Neill
This network shows the impact of papers produced by Máire O’Neill. 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 Máire O’Neill. The network helps show where Máire O’Neill may publish in the future.
Co-authorship network of co-authors of Máire O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Máire O’Neill. A scholar is included among the top collaborators of Máire O’Neill 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 Máire O’Neill. Máire O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 34 | |
| 6 | 16 | |
| 7 | 37 | |
| 8 | 61 | |
| 9 | 12 | |
| 10 | 27 | |
| 11 | 57 | |
| 12 | A tunable selective encryption scheme for H.264/AVC | 1 |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 8 |
About Máire O’Neill
Máire O’Neill is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 28 papers that have together received 498 indexed citations. Recurring topics across this work include Coding theory and cryptography (10 papers), Cryptography and Data Security (9 papers) and Video Coding and Compression Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (77 citations), Artificial Intelligence (268 citations) and Computer Vision and Pattern Recognition (164 citations). Máire O’Neill has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Weiqiang Liu, Fatih Kurugöllü, Ciara Rafferty, Ayesha Khalid, Neil Hanley, Earl E. Swartzlander, Chenghua Wang, Elizabeth O’Sullivan, Francesco Regazzoni and James Howe. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.