Matthew Leming
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Autism Spectrum Disorder Research
Papers in
-
- Functional Brain Connectivity Studies 5
-
- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
- Co-authors
- John Suckling (5 shared papers)Juan M. Gorriz (1 shared paper)Hyungsoon Im (5 shared papers)Simon Baron‐Cohen (1 shared paper)Sudeshna Das (2 shared papers)Randy L. Gollub (1 shared paper)Esther E. Bron (1 shared paper)Juan Eugenio Iglesias (1 shared paper)
- Journals
- NeuroImage (2 papers)Molecular Autism (1 paper)Biosensors and Bioelectronics (1 paper)Artificial Intelligence in Medicine (1 paper)Neurocomputing (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Matthew Leming
12 papers receiving 519 citations
Peers
Comparison fields: 5 of 123
- Health Informatics 35
- Cognitive Neuroscience 122
- Computer Science Applications 25
- Health Information Management 19
- Artificial Intelligence 130
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 | 227 | |
| 2 | 2023 | 122 | |
| 3 | 2020 | 60 | |
| 4 | 2023 | 30 | |
| 5 | 2023 | 21 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2016 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2025 | 0 |
About Matthew Leming
Matthew Leming is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Informatics and Geriatrics and Gerontology, having authored 13 papers that have together received 531 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Advanced MRI Techniques and Applications (2 papers), Machine Learning in Healthcare (2 papers), Anomaly Detection Techniques and Applications (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Health Informatics (35 citations), Cognitive Neuroscience (122 citations), Computer Science Applications (25 citations), Health Information Management (19 citations) and Artificial Intelligence (130 citations). Matthew Leming has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include John Suckling, Juan M. Gorriz, Hyungsoon Im, Simon Baron‐Cohen, Sudeshna Das, Randy L. Gollub, Esther E. Bron, Juan Eugenio Iglesias, Yangming Ou and Rose Bruffaerts. Their work appears in journals such as NeuroImage, Molecular Autism, Biosensors and Bioelectronics, Artificial Intelligence in Medicine and Neurocomputing.
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.