M Symms

918 citations
4 papers · 797 · 1 hit paper · h-index 3

Impact in

Papers in

M Symms

4 papers receiving 785 citations

M Symms's Hit Papers

The effect of filter size on VBM analyses of DT-MRI data 2005 · 516 citations
5160+7+14Years since publication100200300400500

Peers

M Symms
Comparison fields: 5 of 66
  • Computational Mathematics 18
  • Radiology, Nuclear Medicine and Imaging 540
  • Cognitive Neuroscience 303
  • Psychiatry and Mental health 132
  • Pediatrics, Perinatology and Child Health 151
Replace Julio E. Villalón‐Reina with:
Julio E. Villalón‐Reina United States
Kim Fredericksen United States
Jean-François Mangin France
John W. Stakes United States
Sita Kakunoori United States
Akira Kunimatsu Japan
Yung‐Chin Hsu Taiwan
Kiran Seunarine United Kingdom
Ryuta Ito Japan
David Alberto Rodríguez Medina Mexico
M Symms relative to Julio E. Villalón‐Reina United States Julio E. Villalón‐Reina's profile →
Citations per field
00.5×1.5×2.0×
Julio E. Villalón‐Reina · 1×
Citations per year

Countries citing papers authored by M Symms

Since Specialization
Citations

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

Fields of papers citing papers by M Symms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Symms. 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 M Symms. The network helps show where M Symms may publish in the future.

Co-authors

The 16 scholars most cited alongside M Symms, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Symms Line = papers co-authored together M Symms links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
The effect of filter size on VBM analyses of DT-MRI data
Hit paper breakdown →
2005516
2 2003277
3
Diffuse language pathway abnormalities in temporal lobe epilepsy
20063
4
Advanced magnetic resonance imaging techniques demonstrate occult abnormalities in focal epilepsy
20041

About M Symms

M Symms is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Computational Mathematics and Cognitive Neuroscience, having authored 4 papers that have together received 797 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (2 papers), Epilepsy research and treatment (2 papers), Fetal and Pediatric Neurological Disorders (1 paper), Tensor decomposition and applications (1 paper), Functional Brain Connectivity Studies (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Computational Mathematics (18 citations), Radiology, Nuclear Medicine and Imaging (540 citations), Cognitive Neuroscience (303 citations), Psychiatry and Mental health (132 citations) and Pediatrics, Perinatology and Child Health (151 citations). M Symms has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Mara Cercignani, Robert Howard, Derek K. Jones, John S. Duncan, Geoff J.M. Parker, Claudia A. M. Gandini Wheeler‐Kingshott, Gareth J. Barker, Maxime Guye, Afraim Salek‐Haddadi and Greg D. Parker. Their work appears in journals such as NeuroImage, Epilepsia and 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.

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