Amos Storkey
Impact in
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Reinforcement Learning in Robotics
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Gaussian Processes and Bayesian Inference 11
- Neural Networks and Applications 10
- Domain Adaptation and Few-Shot Learning 8
- Bayesian Methods and Mixture Models 7
- Co-authors
- Marc ToussaintMark E. BastinZhanxing ZhuBenedict LeimkuhlerCyril PernetKrzysztof J. GorgolewskiJonathan D. ClaydenRomain Valabrègue
- Journals
- NeuroImage (5 papers)International Journal of Medical Informatics (2 papers)Schizophrenia Research (2 papers)IEEE Transactions on Medical Imaging (2 papers)British Journal of Ophthalmology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Amos Storkey
101 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 1.6k
- Computer Vision and Pattern Recognition 1.0k
- Computational Mathematics 28
- Cognitive Neuroscience 737
- Signal Processing 277
Countries citing papers authored by Amos Storkey
This map shows the geographic impact of Amos Storkey'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 Amos Storkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amos Storkey more than expected).
Fields of papers citing papers by Amos Storkey
This network shows the impact of papers produced by Amos Storkey. 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 Amos Storkey. The network helps show where Amos Storkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Amos Storkey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 36 | |
| 8 | 2021 | 2 | |
| 9 | Comparing recurrent and convolutional neural networks for predicting wave propagation. | 2020 | 1 |
| 10 | BlockSwap: Fisher-guided Block Substitution for Network Compression. | 2019 | 2 |
| 11 | Asymptotically exact inference in likelihood-free models | 2016 | 1 |
| 12 | Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence | 2016 | 31 |
| 13 | Discriminative Mixtures of Sparse Latent Fields for Risk Management | 2012 | 5 |
| 14 | The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes | 2012 | 3 |
| 15 | Isoelastic Agents and Wealth Updates in Machine Learning Markets | 2012 | 4 |
| 16 | TractoR: Magnetic Resonance Imaging and Tractography with R | 2011 | 10 |
| 17 | Sparse Instrumental Variables (SPIV) for Genome-Wide Studies | 2010 | 5 |
| 18 | Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model | 2010 | 13 |
| 19 | A primitive based generative model to infer timing information in unpartitioned handwriting data | 2007 | 10 |
| 20 | Dynamic Structure Super-Resolution | 2002 | 13 |
About Amos Storkey
Amos Storkey is a scholar working on Computational Mathematics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (15 papers), Gaussian Processes and Bayesian Inference (11 papers), Advanced MRI Techniques and Applications (11 papers), Neural Networks and Applications (10 papers), Functional Brain Connectivity Studies (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Bayesian Methods and Mixture Models (7 papers) and Retinal Imaging and Analysis (6 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computer Vision and Pattern Recognition (1.0k citations), Computational Mathematics (28 citations), Cognitive Neuroscience (737 citations) and Signal Processing (277 citations). Amos Storkey has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Marc Toussaint, Mark E. Bastin, Zhanxing Zhu, Benedict Leimkuhler, Cyril Pernet, Krzysztof J. Gorgolewski, Jonathan D. Clayden, Romain Valabrègue, Christopher Clark and Susana Muñoz Maniega. Their work appears in journals such as NeuroImage, International Journal of Medical Informatics, Schizophrenia Research, IEEE Transactions on Medical Imaging and British Journal of Ophthalmology.
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.