Niall Rooney
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- David PattersonHui WangFiona BrowneChris NugentMatthias BaumgartenMaurice MulvennaElena SmirnovaVanessa Robins
- Topics
- Neural Networks and Applications (7 papers)Advanced Text Analysis Techniques (6 papers)Machine Learning and Data Classification (6 papers)
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
Niall Rooney
31 papers receiving 214 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 161
- Information Systems 62
- Signal Processing 31
- Computer Vision and Pattern Recognition 21
- Computer Networks and Communications 16
Countries citing papers authored by Niall Rooney
This map shows the geographic impact of Niall Rooney'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 Niall Rooney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niall Rooney more than expected).
Fields of papers citing papers by Niall Rooney
This network shows the impact of papers produced by Niall Rooney. 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 Niall Rooney. The network helps show where Niall Rooney may publish in the future.
Co-authorship network of co-authors of Niall Rooney
This figure shows the co-authorship network connecting the top 25 collaborators of Niall Rooney. A scholar is included among the top collaborators of Niall Rooney 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 Niall Rooney. Niall Rooney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 11 | |
| 3 | 22 | |
| 4 | Applying Kernel Methods to Argumentation Mining. | 28 |
| 5 | 21 | |
| 6 | A fusion of stacking with dynamic integration | 1 |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | Sophia: a novel approach for textual case-based reasoning | 5 |
| 13 | 10 | |
| 14 | 16 | |
| 15 | Random subspacing for regression ensembles | 8 |
| 16 | An Effective Indexing and Retrieval Approach for Temporal Cases. | 6 |
| 17 | 1 | |
| 18 | Efficient Retrieval for Case-Based Reasoning. | 2 |
| 19 | 7 | |
| 20 | Towards Dynamic Maintenance of Retrieval Knowledge in CBR | 9 |
About Niall Rooney
Niall Rooney is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 32 papers that have together received 229 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Advanced Text Analysis Techniques (6 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Artificial Intelligence (161 citations), Signal Processing (31 citations) and Information Systems (62 citations). Niall Rooney has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include David Patterson, Hui Wang, Fiona Browne, Chris Nugent, Matthias Baumgarten, Maurice Mulvenna, Elena Smirnova, Vanessa Robins, David Bell and Weiru Liu. Their work appears in journals such as Pattern Recognition, Knowledge-Based Systems and Pattern Recognition Letters.
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.