Daniel Moyer
Impact in
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Advanced Neuroimaging Techniques and Applications 23
- Advanced MRI Techniques and Applications 17
- MRI in cancer diagnosis 4
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- Functional Brain Connectivity Studies 13
- Co-authors
- Polina Golland (5 shared papers)Paul M. Thompson (11 shared papers)Elfar Adalsteinsson (2 shared papers)Junshen Xu (2 shared papers)Juan Eugenio Iglesias (2 shared papers)Neda Jahanshad (8 shared papers)Boris A. Gutman (10 shared papers)Borjan Gagoski (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)The Journal of Arthroplasty (2 papers)Magnetic Resonance Imaging (2 papers)IEEE Robotics and Automation Letters (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Daniel Moyer
37 papers receiving 324 citations
Peers
Comparison fields: 5 of 87
- Computational Mathematics 4
- Radiology, Nuclear Medicine and Imaging 120
- Cognitive Neuroscience 81
- Health Informatics 4
- Pediatrics, Perinatology and Child Health 48
Countries citing papers authored by Daniel Moyer
This map shows the geographic impact of Daniel Moyer'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 Daniel Moyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Moyer more than expected).
Fields of papers citing papers by Daniel Moyer
This network shows the impact of papers produced by Daniel Moyer. 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 Daniel Moyer. The network helps show where Daniel Moyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Moyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 53 | |
| 2 | 2022 | 25 | |
| 3 | Invariant Representations without Adversarial Training | 2018 | 22 |
| 4 | 2013 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2021 | 4 |
About Daniel Moyer
Daniel Moyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery, having authored 48 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (23 papers), Advanced MRI Techniques and Applications (17 papers), Functional Brain Connectivity Studies (13 papers), MRI in cancer diagnosis (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Radiology, Nuclear Medicine and Imaging (120 citations), Cognitive Neuroscience (81 citations), Health Informatics (4 citations) and Pediatrics, Perinatology and Child Health (48 citations). Daniel Moyer has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Polina Golland, Paul M. Thompson, Elfar Adalsteinsson, Junshen Xu, Juan Eugenio Iglesias, Neda Jahanshad, Boris A. Gutman, Borjan Gagoski, P. Ellen Grant and Joshua Faskowitz. Their work appears in journals such as IEEE Transactions on Medical Imaging, The Journal of Arthroplasty, Magnetic Resonance Imaging, IEEE Robotics and Automation Letters and Frontiers in Human Neuroscience.
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.