Niall Twomey
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Peter FlachTom DietheIan CraddockAlison BurrowsRyan McConvilleAtis ElstsXenofon FafoutisLili Tao
- Topics
- Context-Aware Activity Recognition Systems (12 papers)Anomaly Detection Techniques and Applications (8 papers)Time Series Analysis and Forecasting (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHuman-Computer Interaction
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Niall Twomey
38 papers receiving 502 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 280
- Computer Networks and Communications 154
- Biomedical Engineering 114
- Artificial Intelligence 109
- Electrical and Electronic Engineering 86
Countries citing papers authored by Niall Twomey
This map shows the geographic impact of Niall Twomey'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 Twomey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niall Twomey more than expected).
Fields of papers citing papers by Niall Twomey
This network shows the impact of papers produced by Niall Twomey. 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 Twomey. The network helps show where Niall Twomey may publish in the future.
Co-authorship network of co-authors of Niall Twomey
This figure shows the co-authorship network connecting the top 25 collaborators of Niall Twomey. A scholar is included among the top collaborators of Niall Twomey 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 Twomey. Niall Twomey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 100 | |
| 7 | 16 | |
| 8 | Person Identification and Discovery With Wrist Worn Accelerometer Data | 2 |
| 9 | Efficient approximate representations of computationally expensive features | 1 |
| 10 | 15 | |
| 11 | Anomaly Detection in Star Light Curves using Hierarchical Gaussian Processes | 6 |
| 12 | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2017) | 23 |
| 13 | Bayesian Active Transfer Learning in Smart Homes, Advances in Active Learning: Bridging Theory and Practice | 1 |
| 14 | 156 | |
| 15 | Context modulation of Sensor Data Applied to Activity Recognition in Smart Homes | 5 |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | 2 |
| 20 | The use of electric fencing to control badger movement | 5 |
About Niall Twomey
Niall Twomey is a scholar working on Computer Vision and Pattern Recognition, Neuropsychology and Physiological Psychology and Signal Processing, having authored 39 papers that have together received 517 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Anomaly Detection Techniques and Applications (8 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Computer Networks and Communications (154 citations) and Human-Computer Interaction (34 citations). Niall Twomey has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Peter Flach, Tom Diethe, Ian Craddock, Alison Burrows, Ryan McConville, Atis Elsts, Xenofon Fafoutis, Lili Tao, Dritan Kaleshi and Massimo Camplani. Their work appears in journals such as Sensors, Neurocomputing and Machine Learning.
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.