Matthew McCormick

1.8k total citations
54 papers, 1.0k citations indexed

About

Matthew McCormick is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew McCormick has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Biomedical Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthew McCormick's work include Medical Image Segmentation Techniques (12 papers), Ultrasound Imaging and Elastography (10 papers) and Medical Imaging Techniques and Applications (8 papers). Matthew McCormick is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Ultrasound Imaging and Elastography (10 papers) and Medical Imaging Techniques and Applications (8 papers). Matthew McCormick collaborates with scholars based in United States, United Kingdom and Austria. Matthew McCormick's co-authors include Tomy Varghese, Luis Ibáñez, Xiaoxiao Liu, Julien Jomier, David Nordsletten, Carol Mitchell, Robert J. Dempsey, Mark A. Kliewer, David Kay and Nicolas P. Smith and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Matthew McCormick

49 papers receiving 1.0k 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 McCormick United States 17 422 332 296 244 147 54 1.0k
Tzung-Chi Huang Taiwan 21 658 1.6× 263 0.8× 89 0.3× 380 1.6× 122 0.8× 63 1.2k
Eigil Samset Norway 25 628 1.5× 444 1.3× 605 2.0× 168 0.7× 314 2.1× 103 1.7k
Georg Rose Germany 21 695 1.6× 528 1.6× 303 1.0× 505 2.1× 158 1.1× 186 1.8k
Kristen M. Meiburger Italy 24 582 1.4× 339 1.0× 400 1.4× 443 1.8× 274 1.9× 90 1.5k
Eranga Ukwatta Canada 19 540 1.3× 271 0.8× 318 1.1× 405 1.7× 410 2.8× 91 1.2k
Tommaso Mansi United States 24 646 1.5× 442 1.3× 649 2.2× 135 0.6× 481 3.3× 80 1.8k
Rubén Cárdenes Spain 15 227 0.5× 123 0.4× 165 0.6× 238 1.0× 166 1.1× 36 752
Mathieu De Craene Spain 21 852 2.0× 351 1.1× 786 2.7× 175 0.7× 361 2.5× 82 1.6k
Dirk Loeckx Belgium 21 580 1.4× 288 0.9× 236 0.8× 220 0.9× 490 3.3× 67 1.4k
Michael Friebe Germany 17 316 0.7× 290 0.9× 78 0.3× 223 0.9× 92 0.6× 146 1.1k

Countries citing papers authored by Matthew McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Matthew McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McCormick

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

All Works

20 of 20 papers shown
1.
Rorden, Chris, Matthew McCormick, Taylor Hanayik, Mohamed Masoud, & Sergey Plis. (2025). brain2print AI powered web tool for creating 3D printable brain models. Scientific Reports. 15(1). 15664–15664.
2.
McCormick, Matthew, et al.. (2024). ITK-Wasm. Proceedings of the Python in Science Conferences. 256–279. 1 indexed citations
3.
Fillion‐Robin, Jean‐Christophe, et al.. (2024). Scikit-build-core. Proceedings of the Python in Science Conferences. 225–235. 1 indexed citations
4.
5.
Vicory, Jared, P.R. Hernández, Matthew McCormick, et al.. (2021). Dental microfracture detection using wavelet features and machine learning. PubMed. 11596. 12 indexed citations
6.
Vicory, Jared, et al.. (2021). An open-source solution for shape modeling of objects of challenging topologies. PubMed. 11600. 17–17. 1 indexed citations
7.
Paniagua, Beatriz, A.C.O. Ruellas, J. S. Marron, et al.. (2019). Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices. PubMed. 10953. 42–42. 1 indexed citations
8.
Hernández, P.R., Beatriz Paniagua, J. S. Marron, et al.. (2019). Methods for quantitative characterization of bone injury from computed-tomography images. PubMed. 10953. 40–40. 1 indexed citations
9.
Niethammer, Marc, Roland Kwitt, Matthew McCormick, et al.. (2018). Scoliosis screening and monitoring using self contained ultrasound and neural networks. PubMed. 2018. 1500–1503. 6 indexed citations
10.
Yushkevich, Paul A., İpek Oğuz, Suyash Mohan, et al.. (2018). User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. Neuroinformatics. 17(1). 83–102. 101 indexed citations
11.
McCormick, Matthew, et al.. (2017). Ultrasound Augmentation: Rapid 3-D Scanning for Tracking and On-Body Display. Lecture notes in computer science. 10549. 138–145. 1 indexed citations
12.
Gerber, Samuel, Matthew McCormick, Sean P. Montgomery, et al.. (2017). Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images. Lecture notes in computer science. 10549. 113–120. 13 indexed citations
13.
Aylward, Stephen, Matthew McCormick, Hyun‐Jae Kang, et al.. (2016). Ultrasound spectroscopy. PubMed. 1. 1013–1016. 2 indexed citations
14.
McCormick, Matthew, David Nordsletten, Pablo Lamata, & Nicolas P. Smith. (2014). Computational analysis of the importance of flow synchrony for cardiac ventricular assist devices. Computers in Biology and Medicine. 49. 83–94. 24 indexed citations
15.
McCormick, Matthew, David Nordsletten, David Kay, & Nicolas P. Smith. (2012). Simulating left ventricular fluid–solid mechanics through the cardiac cycle under LVAD support. Journal of Computational Physics. 244. 80–96. 35 indexed citations
16.
Rocque, Brandon G., Daren C. Jackson, Tomy Varghese, et al.. (2012). Impaired cognitive function in patients with atherosclerotic carotid stenosis and correlation with ultrasound strain measurements. Journal of the Neurological Sciences. 322(1-2). 20–24. 28 indexed citations
17.
McCormick, Matthew, Nicholas Rubert, & Tomy Varghese. (2011). Bayesian Regularization Applied to Ultrasound Strain Imaging. IEEE Transactions on Biomedical Engineering. 58(6). 1612–1620. 50 indexed citations
18.
Madsen, Ernest L., et al.. (2010). Anechoic sphere phantoms for estimating 3-D resolution of very-high-frequency ultrasound scanners. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 57(10). 2284–2292. 31 indexed citations
19.
Shi, Hairong, Tomy Varghese, Carol Mitchell, et al.. (2009). In vivo attenuation and equivalent scatterer size parameters for atherosclerotic carotid plaque: Preliminary results. Ultrasonics. 49(8). 779–785. 19 indexed citations
20.
Shi, Hairong, Carol Mitchell, Matthew McCormick, et al.. (2008). Preliminaryin vivoatherosclerotic carotid plaque characterization using the accumulated axial strain and relative lateral shift strain indices. Physics in Medicine and Biology. 53(22). 6377–6394. 81 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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