Devon Hjelm
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Functional Brain Connectivity Studies 6
- Neural dynamics and brain function 3
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Vince D. Calhoun (7 shared papers)Sergey Plis (5 shared papers)Mohamed Ishmael Belghazi (1 shared paper)Sherjil Ozair (1 shared paper)Yoshua Bengio (2 shared papers)Aaron Courville (1 shared paper)Aristide Baratin (1 shared paper)Jessica A. Turner (2 shared papers)
- Journals
- NeuroImage (2 papers)Frontiers in Neuroscience (1 paper)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Devon Hjelm
10 papers receiving 924 citations
Devon Hjelm's Hit Papers
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 438
- Radiology, Nuclear Medicine and Imaging 217
- Artificial Intelligence 336
- Health Informatics 12
- Computer Vision and Pattern Recognition 151
Countries citing papers authored by Devon Hjelm
This map shows the geographic impact of Devon Hjelm'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 Devon Hjelm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devon Hjelm more than expected).
Fields of papers citing papers by Devon Hjelm
This network shows the impact of papers produced by Devon Hjelm. 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 Devon Hjelm. The network helps show where Devon Hjelm may publish in the future.
Co-authors
The 25 scholars most cited alongside Devon Hjelm, 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 | 2014 | 393 | |
| 2 | Mutual Information Neural Estimation. Hit paper breakdown → | 2018 | 306 |
| 3 | 2014 | 185 | |
| 4 | 2018 | 43 | |
| 5 | 2017 | 6 | |
| 6 | 2019 | 6 | |
| 7 | Iterative Refinement of the Approximate Posterior for Directed Belief Networks | 2016 | 5 |
| 8 | 2021 | 4 | |
| 9 | 2015 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2016 | 0 |
About Devon Hjelm
Devon Hjelm is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 11 papers that have together received 951 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Neural dynamics and brain function (3 papers), Multimodal Machine Learning Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Image and Signal Denoising Methods (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Cognitive Neuroscience (438 citations), Radiology, Nuclear Medicine and Imaging (217 citations), Artificial Intelligence (336 citations), Health Informatics (12 citations) and Computer Vision and Pattern Recognition (151 citations). Devon Hjelm has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Vince D. Calhoun, Sergey Plis, Mohamed Ishmael Belghazi, Sherjil Ozair, Yoshua Bengio, Aaron Courville, Aristide Baratin, Jessica A. Turner, Ruslan Salakhutdinov and Jane S. Paulsen. Their work appears in journals such as NeuroImage, Frontiers in Neuroscience, International Conference on Machine Learning and arXiv (Cornell University).
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.