Christopher Beckham
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
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- Anomaly Detection Techniques and Applications 5
- Adversarial Robustness in Machine Learning 4
- Computational Physics and Python Applications 2
- Domain Adaptation and Few-Shot Learning 2
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- Generative Adversarial Networks and Image Synthesis 4
- Advanced Neural Network Applications 2
- Image Processing and 3D Reconstruction 1
- Co-authors
- Alex Lamb (5 shared papers)Yoshua Bengio (4 shared papers)Ioannis Mitliagkas (3 shared papers)Amir Najafi (2 shared papers)David López-Paz (1 shared paper)Vikas Verma (1 shared paper)Eibe Frank (2 shared papers)Felipe Bravo-Márquez (1 shared paper)
- Journals
- Knowledge-Based Systems (1 paper)Medical Image Analysis (1 paper)Pattern Recognition (1 paper)Latin American Antiquity (1 paper)Journal of Open Research Software (1 paper)
- Partner nations
- CanadaUnited StatesNew Zealand
In The Last Decade
Christopher Beckham
14 papers receiving 334 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 201
- Radiology, Nuclear Medicine and Imaging 50
- Signal Processing 17
- Neurology 13
Countries citing papers authored by Christopher Beckham
This map shows the geographic impact of Christopher Beckham'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 Christopher Beckham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Beckham more than expected).
Fields of papers citing papers by Christopher Beckham
This network shows the impact of papers produced by Christopher Beckham. 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 Christopher Beckham. The network helps show where Christopher Beckham may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Beckham, 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 | 2018 | 179 | |
| 2 | 2019 | 79 | |
| 3 | Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer. | 2018 | 19 |
| 4 | 2016 | 11 | |
| 5 | Manifold Mixup: Learning Better Representations by Interpolating Hidden States | 2018 | 11 |
| 6 | 2022 | 10 | |
| 7 | Adversarial Mixup Resynthesizers | 2019 | 9 |
| 8 | 2018 | 8 | |
| 9 | Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets | 2017 | 7 |
| 10 | 2019 | 5 | |
| 11 | 2022 | 4 | |
| 12 | Deep Learning for Extreme Weather Detection | 2017 | 3 |
| 13 | ClimateNet: A Machine Learning dataset for Climate Science Research | 2017 | 1 |
| 14 | Techniques in Ordinal Classification and Image-to-Image Translation | 2017 | 1 |
| 15 | 2023 | 0 |
About Christopher Beckham
Christopher Beckham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Paleontology, Neurology and Health Information Management, having authored 15 papers that have together received 347 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Computational Physics and Python Applications (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Fire Detection and Safety Systems (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Artificial Intelligence (201 citations), Radiology, Nuclear Medicine and Imaging (50 citations), Signal Processing (17 citations) and Neurology (13 citations). Christopher Beckham has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include Alex Lamb, Yoshua Bengio, Ioannis Mitliagkas, Amir Najafi, David López-Paz, Vikas Verma, Eibe Frank, Felipe Bravo-Márquez, Mark Hall and Vikas Verma. Their work appears in journals such as Knowledge-Based Systems, Medical Image Analysis, Pattern Recognition, Latin American Antiquity and Journal of Open Research Software.
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.