Ian T. Nabney
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Zheng QianNiya ChenXiaofeng MengPeter TiňoDan CornfordJohn R. OwenFabián López-VallejoJosé L. Medina‐Franco
- Topics
- Neural Networks and Applications (11 papers)Fault Detection and Control Systems (7 papers)Ocean Waves and Remote Sensing (7 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchElectrical and Electronic Engineering
- Journals
- Journal of Geophysical Research AtmospheresBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Ian T. Nabney
54 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Electrical and Electronic Engineering 428
- Artificial Intelligence 304
- Molecular Biology 152
- Computational Theory and Mathematics 118
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Ian T. Nabney
This map shows the geographic impact of Ian T. Nabney'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 Ian T. Nabney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian T. Nabney more than expected).
Fields of papers citing papers by Ian T. Nabney
This network shows the impact of papers produced by Ian T. Nabney. 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 Ian T. Nabney. The network helps show where Ian T. Nabney may publish in the future.
Co-authorship network of co-authors of Ian T. Nabney
This figure shows the co-authorship network connecting the top 25 collaborators of Ian T. Nabney. A scholar is included among the top collaborators of Ian T. Nabney 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 Ian T. Nabney. Ian T. Nabney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Bagging model with cost sensitive analysis on diabetes data | 1 |
| 3 | Short-term wind power forecasting using Gaussian processes | 26 |
| 4 | 12 | |
| 5 | 23 | |
| 6 | 26 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | Prediction of paroxysmal atrial fibrillation | 3 |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 65 | |
| 15 | 13 | |
| 16 | 9 | |
| 17 | 27 | |
| 18 | Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields | 6 |
| 19 | Delay Estimation for Multivariate Time Series | 1 |
| 20 | 9 |
About Ian T. Nabney
Ian T. Nabney is a scholar working on Oceanography, Artificial Intelligence and Management Science and Operations Research, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Fault Detection and Control Systems (7 papers) and Ocean Waves and Remote Sensing (7 papers). The work is most often cited by research in Artificial Intelligence (304 citations), Management Science and Operations Research (95 citations) and Electrical and Electronic Engineering (428 citations). Ian T. Nabney has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Zheng Qian, Niya Chen, Xiaofeng Meng, Peter Tiňo, Dan Cornford, John R. Owen, Fabián López-Vallejo, José L. Medina‐Franco, Andreas Sewing and Chris Bishop. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.