Elliot J. Crowley
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Aerospace Engineering
- Co-authors
- Andrew ZissermanAmos StorkeyJack TurnerMichael O’BoyleOmkar ParkhiValentin RaduJosé CanoLichao Huang
- Topics
- Advanced Neural Network Applications (7 papers)Adversarial Robustness in Machine Learning (6 papers)Machine Learning and Data Classification (5 papers)
- Journals
- IEEE AccessACM Transactions on Architecture and Code OptimizationEdinburgh Research Explorer (University of Edinburgh)
- Partner nations
- United KingdomCanadaIreland
In The Last Decade
Elliot J. Crowley
18 papers receiving 465 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 387
- Artificial Intelligence 116
- Signal Processing 53
- Cognitive Neuroscience 51
- Aerospace Engineering 39
Countries citing papers authored by Elliot J. Crowley
This map shows the geographic impact of Elliot J. Crowley'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 Elliot J. Crowley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elliot J. Crowley more than expected).
Fields of papers citing papers by Elliot J. Crowley
This network shows the impact of papers produced by Elliot J. Crowley. 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 Elliot J. Crowley. The network helps show where Elliot J. Crowley may publish in the future.
Co-authorship network of co-authors of Elliot J. Crowley
This figure shows the co-authorship network connecting the top 25 collaborators of Elliot J. Crowley. A scholar is included among the top collaborators of Elliot J. Crowley 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 Elliot J. Crowley. Elliot J. Crowley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | 4 |
| 7 | BlockSwap: Fisher-guided Block Substitution for Network Compression. | 2 |
| 8 | Deep Kernel Transfer in Gaussian Processes for Few-shot Learning | 8 |
| 9 | 25 | |
| 10 | 7 | |
| 11 | HAKD: Hardware Aware Knowledge Distillation. | 1 |
| 12 | Moonshine: Distilling with Cheap Convolutions | 27 |
| 13 | 18 | |
| 14 | 23 | |
| 15 | 48 | |
| 16 | British Machine Vision Conference, 2014 | 285 |
| 17 | In Proceedings British Machine Vision Conference 2013 | 1 |
| 18 | 12 |
About Elliot J. Crowley
Elliot J. Crowley is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 18 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Signal Processing (53 citations) and Artificial Intelligence (116 citations). Elliot J. Crowley has collaborated with scholars based in United Kingdom, Canada and Ireland. Frequent co-authors include Andrew Zisserman, Amos Storkey, Jack Turner, Michael O’Boyle, Omkar Parkhi, Valentin Radu, José Cano, Lichao Huang, Chenhongyi Yang and Massimiliano Patacchiola. Their work appears in journals such as IEEE Access, ACM Transactions on Architecture and Code Optimization and Edinburgh Research Explorer (University of Edinburgh).
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.