Matthew Meredith

768 citations
23 papers · 559 · h-index 11

Impact in

Papers in

Matthew Meredith

23 papers receiving 547 citations

Peers

Matthew Meredith
Comparison fields: 5 of 78
  • Computational Mathematics 19
  • Cognitive Neuroscience 268
  • Radiology, Nuclear Medicine and Imaging 238
  • Experimental and Cognitive Psychology 124
  • Social Psychology 168
Replace Lindsey A. Leigland with:
Lindsey A. Leigland United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Meredith

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Meredith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Meredith, 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 Matthew Meredith Line = papers co-authored together Matthew Meredith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008151
2 2008102
3 200875
4 201357
5 200831
6 200823
7 200816
8 201714
9 200814
10 200813
11
How Many Gradients are Sufficient in High-Angular Resolution Diffusion Imaging (HARDI)?
200810
12
Multi-Atlas Tensor-Based Morphometry and its Application to a Genetic Study of 92 Twins
200810
13 20089
14 20087
15 20217
16
Mapping genetic influences on brain fiber architecture with High Angular Resolution Diffusion Imaging (HARDI)
20085
17
Best individual template selection from deformation tensor minimization
20085
18 20143
19 20183
20
Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins
20081

About Matthew Meredith

Matthew Meredith is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Archeology and Geometry and Topology, having authored 23 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (6 papers), Functional Brain Connectivity Studies (6 papers), Autopsy Techniques and Outcomes (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Tensor decomposition and applications (3 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Computational Mathematics (19 citations), Cognitive Neuroscience (268 citations), Radiology, Nuclear Medicine and Imaging (238 citations), Experimental and Cognitive Psychology (124 citations) and Social Psychology (168 citations). Matthew Meredith has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Greig I. de Zubicaray, Katie L. McMahon, Roderick Ashton, Margaret J. Wright, Paul M. Thompson, Arthur W. Toga, Laura S. Gregory, Clair Alston‐Knox, Gabriëlla A.M. Blokland and Gu Zhu. Their work appears in journals such as Forensic Science International, Brain and Language, American Journal of Physical Anthropology, Magnetic Resonance in Medicine and NeuroImage.

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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