Matt G. Hall

2.8k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Matt G. Hall is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Nuclear and High Energy Physics. According to data from OpenAlex, Matt G. Hall has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Orthopedics and Sports Medicine and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Matt G. Hall's work include Advanced Neuroimaging Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (21 papers) and MRI in cancer diagnosis (15 papers). Matt G. Hall is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (21 papers) and MRI in cancer diagnosis (15 papers). Matt G. Hall collaborates with scholars based in United Kingdom, United States and India. Matt G. Hall's co-authors include Daniel C. Alexander, Thomas R. Barrick, Tim B. Dyrby, Maurice Ptito, Geoff J.M. Parker, Penny L. Hubbard Cristinacce, Elizabeth A. Moore, Torben Schneider, Mark F. Lythgoe and Bernard Siow and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Matt G. Hall

38 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Orientationally invariant indices of axon diameter and density from diffusion MRI

2010 517 citations Daniel C. Alexander, Penny L. Hubbard Cristinacce et al. NeuroImage profile →

Peers

Matt G. Hall

RNMI

OSM

NHEP

PPCH

Timothy M. Shepherd United States

Anita Ramani United Kingdom

Valerij G. Kiselev Germany

Evren Özarslan United States

Cheng Guan Koay United States

William Triplett United States

Ramesh Venkatesan India

Carl‐Fredrik Westin United States

Daniel B. Rowe United States

Osama Abdullah United States

Timothy M. Shepherd United States

Matt G. Hall

1.9k ×1.3

RNMI

239 ×0.7

OSM

183 ×0.8

NHEP

282 ×1.5

291 ×1.6

PPCH

Citations per year, relative to Matt G. Hall Matt G. Hall (= 1×) peers Timothy M. Shepherd

Countries citing papers authored by Matt G. Hall

Since Specialization

Citations

This map shows the geographic impact of Matt G. 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 Matt G. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt G. Hall more than expected).

Fields of papers citing papers by Matt G. Hall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt G. 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 Matt G. Hall. The network helps show where Matt G. Hall may publish in the future.

Co-authorship network of co-authors of Matt G. Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Matt G. Hall. A scholar is included among the top collaborators of Matt G. Hall 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 Matt G. Hall. Matt G. Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Barrick, Thomas R., Carson Ingo, Matt G. Hall, & Franklyn A. Howe. (2025). Quasi‐Diffusion Imaging: Application to Ultra‐High b‐Value and Time‐Dependent Diffusion Images of Brain Tissue. NMR in Biomedicine. 38(4). e70011–e70011.

Hall, Matt G., Bernd Ittermann, Kathryn E. Keenan, et al.. (2025). Metrology for MRI: the field you’ve never heard of. Magnetic Resonance Materials in Physics Biology and Medicine. 38(3). 387–412. 1 indexed citations

Cristinacce, Penny L. Hubbard, Shonit Punwani, Rebecca Mills, et al.. (2023). Steps on the Path to Clinical Translation: A workshop by the British and Irish Chapter of the ISMRM. Magnetic Resonance in Medicine. 90(3). 1130–1136.

Cristinacce, Penny L. Hubbard, Eric O. Aboagye, Matt G. Hall, et al.. (2022). Clinical translation of quantitative magnetic resonance imaging biomarkers – An overview and gap analysis of current practice. Physica Medica. 101. 165–182. 9 indexed citations

Hall, Matt G. & Carson Ingo. (2021). Half Way There: Theoretical Considerations for Power Laws and Sticks in Diffusion MRI for Tissue Microstructure. Mathematics. 9(16). 1871–1871. 1 indexed citations

Nery, Fábio, Fenglei Zhou, Filip Szczepankiewicz, et al.. (2021). Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage. 242. 118445–118445. 7 indexed citations

Magin, Richard L., Matt G. Hall, Muge Karaman, & Viktor Vegh. (2020). Fractional Calculus Models of Magnetic Resonance Phenomena: Relaxation and Diffusion. Critical Reviews in Biomedical Engineering. 48(5). 285–326. 12 indexed citations

Barrick, Thomas R., Carson Ingo, Jeremy Madigan, et al.. (2020). Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique. NeuroImage. 211. 116606–116606. 14 indexed citations

Kanber, Baris, Jasper M. Morrow, Stephen Wastling, et al.. (2020). Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases. Neuroinformatics. 19(2). 379–383. 6 indexed citations

10.

Nery, Fábio, Filip Szczepankiewicz, Matt G. Hall, et al.. (2019). In vivo demonstration of microscopic anisotropy in the human kidney using multidimensional diffusion MRI. Magnetic Resonance in Medicine. 82(6). 2160–2168. 24 indexed citations

11.

Vincent, Amy E., Kathryn White, Tracey Davey, et al.. (2019). Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network. Cell Reports. 26(4). 996–1009.e4. 137 indexed citations

12.

Magin, Richard L., Muge Karaman, Matt G. Hall, Wenzhen Zhu, & Xiaohong Joe Zhou. (2018). Capturing complexity of the diffusion-weighted MR signal decay. Magnetic Resonance Imaging. 56. 110–118. 13 indexed citations

13.

Nedjati‐Gilani, Gemma, Torben Schneider, Matt G. Hall, et al.. (2017). Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroImage. 150. 119–135. 64 indexed citations

14.

Drobnjak, Ivana, Hui Zhang, Matt G. Hall, & Daniel C. Alexander. (2011). The matrix formalism for generalised gradients with time-varying orientation in diffusion NMR. Journal of Magnetic Resonance. 210(1). 151–157. 31 indexed citations

15.

Ramírez-Manzanares, Alonso, Philip A. Cook, Matt G. Hall, Manzar Ashtari, & James C. Gee. (2011). Resolving axon fiber crossings at clinical b‐values: An evaluation study. Medical Physics. 38(9). 5239–5253. 15 indexed citations

16.

Panagiotaki, Eleftheria, Matt G. Hall, Hui Zhang, et al.. (2010). High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations. Lecture notes in computer science. 13(Pt 2). 404–411. 24 indexed citations

17.

Alexander, Daniel C., Penny L. Hubbard Cristinacce, Matt G. Hall, et al.. (2010). Orientationally invariant indices of axon diameter and density from diffusion MRI. NeuroImage. 52(4). 1374–1389. 517 indexed citations breakdown →

18.

Clayden, Jonathan D., Zoltán Nagy, Matt G. Hall, Chris A. Clark, & Daniel C. Alexander. (2009). Active Imaging with Dual Spin-Echo Diffusion MRI. Lecture notes in computer science. 21. 264–275. 5 indexed citations

19.

Panagiotaki, Eleftheria, Hubert Fonteijn, Bernard Siow, et al.. (2009). Two-Compartment Models of the Diffusion MR Signal in Brain White Matter. Lecture notes in computer science. 12(Pt 1). 329–336. 14 indexed citations

20.

Hall, Matt G. & Daniel C. Alexander. (2009). Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI. IEEE Transactions on Medical Imaging. 28(9). 1354–1364. 158 indexed citations

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.

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