Matthew Leming
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Functional Brain Connectivity Studies
- Autism Spectrum Disorder Research
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Functional Brain Connectivity Studies 5
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- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
- Co-authors
- John Suckling (4 shared papers)J. M. Górriz (1 shared paper)Hyungsoon Im (4 shared papers)Sudeshna Das (2 shared papers)Simon Baron‐Cohen (1 shared paper)Randy L. Gollub (1 shared paper)Esther E. Bron (1 shared paper)Juan Eugenio Iglesias (1 shared paper)
- Journals
- NeuroImage (2 papers)Artificial Intelligence in Medicine (1 paper)npj Digital Medicine (1 paper)International Journal of Neural Systems (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Matthew Leming
9 papers receiving 145 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 13
- Cognitive Neuroscience 67
- Biophysics 9
- Radiology, Nuclear Medicine and Imaging 35
- Health Information Management 6
Countries citing papers authored by Matthew Leming
This map shows the geographic impact of Matthew Leming'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 Leming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Leming more than expected).
Fields of papers citing papers by Matthew Leming
This network shows the impact of papers produced by Matthew Leming. 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 Leming. The network helps show where Matthew Leming may publish in the future.
Co-authors
The 19 scholars most cited alongside Matthew Leming, 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 | 2020 | 55 | |
| 2 | 2021 | 18 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2018 | 7 | |
| 9 | 2016 | 3 |
About Matthew Leming
Matthew Leming is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 147 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (2 papers), Machine Learning in Healthcare (2 papers), Mental Health Research Topics (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Health Informatics (13 citations), Cognitive Neuroscience (67 citations), Biophysics (9 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Health Information Management (6 citations). Matthew Leming has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John Suckling, J. M. Górriz, Hyungsoon Im, Sudeshna Das, Simon Baron‐Cohen, Randy L. Gollub, Esther E. Bron, Juan Eugenio Iglesias, Yangming Ou and Li Su. Their work appears in journals such as NeuroImage, Artificial Intelligence in Medicine, npj Digital Medicine, International Journal of Neural Systems and Biosensors and Bioelectronics.
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.