Matt McCormick
Impact in
-
- Sports Performance and Training
- Sports injuries and prevention
-
- Balance, Gait, and Falls Prevention
Papers in
-
- Time Series Analysis and Forecasting 5
-
- Anomaly Detection Techniques and Applications 2
- Co-authors
- KEIJO H KKINEN (1 shared paper)Robert U. Newton (2 shared papers)William J. Kraemer (2 shared papers)Jeff S. Volek (2 shared papers)Ramy Harik (6 shared papers)Thorsten Wuest (7 shared papers)Zhichao Liu (2 shared papers)Brian P. Pollack (1 shared paper)
- Journals
- Medicine & Science in Sports & Exercise (2 papers)Robotics and Computer-Integrated Manufacturing (2 papers)Manufacturing Letters (2 papers)Journal of Manufacturing Systems (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesPhilippinesEgypt
In The Last Decade
Matt McCormick
10 papers receiving 241 citations
Peers
Comparison fields: 5 of 80
- Orthopedics and Sports Medicine 86
- Physical Therapy, Sports Therapy and Rehabilitation 26
- Complementary and alternative medicine 29
- Rehabilitation 16
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Matt McCormick
This map shows the geographic impact of Matt 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 Matt McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt McCormick more than expected).
Fields of papers citing papers by Matt McCormick
This network shows the impact of papers produced by Matt 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 Matt McCormick. The network helps show where Matt McCormick may publish in the future.
Co-authors
The 24 scholars most cited alongside Matt McCormick, 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 | 2002 | 167 | |
| 2 | 2023 | 36 | |
| 3 | 2024 | 31 | |
| 4 | 2020 | 14 | |
| 5 | 2025 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2023 | 1 | |
| 8 | Automatic Medical Ultrasound Strain Image Segmentation for Breast Tumors | 2005 | 1 |
| 9 | 1996 | 1 | |
| 10 | 1969 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Matt McCormick
Matt McCormick is a scholar working on Signal Processing, Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 258 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (5 papers), Digital Transformation in Industry (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers), Currency Recognition and Detection (2 papers), Ultrasound Imaging and Elastography (1 paper), Ultrasound and Hyperthermia Applications (1 paper) and Metal-Catalyzed Oxygenation Mechanisms (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (86 citations), Physical Therapy, Sports Therapy and Rehabilitation (26 citations), Complementary and alternative medicine (29 citations), Rehabilitation (16 citations) and Industrial and Manufacturing Engineering (20 citations). Matt McCormick has collaborated with scholars based in United States, Philippines and Egypt. Frequent co-authors include KEIJO H KKINEN, Robert U. Newton, William J. Kraemer, Jeff S. Volek, Ramy Harik, Thorsten Wuest, Zhichao Liu, Brian P. Pollack, Lee Cooper and Hagar Hussein. Their work appears in journals such as Medicine & Science in Sports & Exercise, Robotics and Computer-Integrated Manufacturing, Manufacturing Letters, Journal of Manufacturing Systems and Cancer Research.
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.