Matthew Leming

724 total citations
9 papers, 147 citations indexed

About

Matthew Leming is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Matthew Leming has authored 9 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Artificial Intelligence. Recurrent topics in Matthew Leming's work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Machine Learning in Healthcare (2 papers). Matthew Leming is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Machine Learning in Healthcare (2 papers). Matthew Leming collaborates with scholars based in United States, United Kingdom and Netherlands. Matthew Leming's co-authors include John Suckling, J. M. Górriz, Hyungsoon Im, Sudeshna Das, Simon Baron‐Cohen, Esther E. Bron, Rose Bruffaerts, Li Su, Randy L. Gollub and Juan Eugenio Iglesias and has published in prestigious journals such as PLoS ONE, NeuroImage and Biosensors and Bioelectronics.

In The Last Decade

Matthew Leming

9 papers receiving 145 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Leming United States 8 67 35 29 16 13 9 147
Zhijian Yang United States 6 26 0.4× 30 0.9× 27 0.9× 10 0.6× 10 0.8× 9 156
Rick Herrick United States 5 79 1.2× 56 1.6× 11 0.4× 9 0.6× 3 0.2× 7 130
Matthew Townend United Kingdom 6 33 0.5× 50 1.4× 49 1.7× 17 1.1× 19 1.5× 19 218
Ioanna Skampardoni United States 6 21 0.3× 16 0.5× 21 0.7× 10 0.6× 6 0.5× 7 126
Chonghua Xue United States 4 23 0.3× 44 1.3× 47 1.6× 25 1.6× 5 0.4× 5 162
Robert Fratila Canada 6 32 0.5× 12 0.3× 25 0.9× 11 0.7× 16 1.2× 11 109
Rodrigo Echeveste Argentina 5 78 1.2× 48 1.4× 55 1.9× 2 0.1× 50 3.8× 9 201
Gilsoon Park South Korea 7 30 0.4× 30 0.9× 27 0.9× 45 2.8× 3 0.2× 16 147
Sébastian Ströer France 9 16 0.2× 83 2.4× 15 0.5× 19 1.2× 6 0.5× 21 233

Countries citing papers authored by Matthew Leming

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Leming

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

All Works

9 of 9 papers shown
1.
Leming, Matthew, Esther E. Bron, Rose Bruffaerts, et al.. (2023). Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. npj Digital Medicine. 6(1). 129–129. 16 indexed citations
2.
Leming, Matthew, Soo Hyun Lee, Jun-Young Yang, et al.. (2023). Label-free detection and discrimination of respiratory pathogens based on electrochemical synthesis of biomaterials-mediated plasmonic composites and machine learning analysis. Biosensors and Bioelectronics. 227. 115178–115178. 15 indexed citations
3.
Leming, Matthew, Sudeshna Das, & Hyungsoon Im. (2023). Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham. PLoS ONE. 18(3). e0277572–e0277572. 8 indexed citations
4.
Leming, Matthew, Sudeshna Das, & Hyungsoon Im. (2022). Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease. Artificial Intelligence in Medicine. 129. 102309–102309. 10 indexed citations
5.
Leming, Matthew, Simon Baron‐Cohen, & John Suckling. (2021). Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI. Molecular Autism. 12(1). 34–34. 18 indexed citations
6.
Leming, Matthew & John Suckling. (2021). Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank. NeuroImage. 241. 118409–118409. 15 indexed citations
7.
Leming, Matthew, J. M. Górriz, & John Suckling. (2020). Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. International Journal of Neural Systems. 30(7). 2050012–2050012. 55 indexed citations
8.
Leming, Matthew, et al.. (2018). Normative pathways in the functional connectome. NeuroImage. 184. 317–334. 7 indexed citations
9.
Leming, Matthew, et al.. (2016). A framework for incorporating DTI Atlas Builder registration into tract-based spatial statistics and a simulated comparison to standard TBSS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9788. 97882S–97882S. 3 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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