MG Hall
Impact in
- Computational Mathematics top 10%
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
- MRI in cancer diagnosis 1
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- Optical measurement and interference techniques 1
- Co-authors
- Daniel C. Alexander (3 shared papers)Yu Bai (2 shared papers)KK Seunarine (3 shared papers)Shahrum Nedjati-Gilani (2 shared papers)PA Cook (2 shared papers)Geoff J.M. Parker (1 shared paper)Thomas R. Barrick (1 shared paper)C. K. Mackay (1 shared paper)
- Journals
- UCL Discovery (University College London) (2 papers)
- Partner nations
- Australia
In The Last Decade
MG Hall
4 papers receiving 375 citations
Peers
Comparison fields: 5 of 53
- Computational Mathematics 9
- Radiology, Nuclear Medicine and Imaging 304
- Orthopedics and Sports Medicine 52
- Cognitive Neuroscience 96
- Pediatrics, Perinatology and Child Health 54
Countries citing papers authored by MG Hall
This map shows the geographic impact of MG Hall'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 MG Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MG Hall more than expected).
Fields of papers citing papers by MG Hall
This network shows the impact of papers produced by MG Hall. 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 MG Hall. The network helps show where MG Hall may publish in the future.
Co-authors
The 9 scholars most cited alongside MG Hall, 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 | Camino: Open-Source Diffusion-MRI Reconstruction and Processing | 2006 | 370 |
| 2 | 2005 | 4 | |
| 3 | Exploiting peak anisotropy for tracking through fanning structures | 2007 | 2 |
| 4 | Anomalous Diffusion and Non-Monoexponential b-decay | 2006 | 2 |
About MG Hall
MG Hall is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Spectroscopy and Mechanical Engineering, having authored 4 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (2 papers), Optical measurement and interference techniques (1 paper), Advanced Measurement and Metrology Techniques (1 paper), MRI in cancer diagnosis (1 paper), NMR spectroscopy and applications (1 paper), Functional Brain Connectivity Studies (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Computational Mathematics (9 citations), Radiology, Nuclear Medicine and Imaging (304 citations), Orthopedics and Sports Medicine (52 citations), Cognitive Neuroscience (96 citations) and Pediatrics, Perinatology and Child Health (54 citations). MG Hall has collaborated with scholars based in Australia. Frequent co-authors include Daniel C. Alexander, Yu Bai, KK Seunarine, Shahrum Nedjati-Gilani, PA Cook, Geoff J.M. Parker, Thomas R. Barrick, C. K. Mackay and Matthew D. Robson. Their work appears in journals such as UCL Discovery (University College London).
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.