Matthew Worsey
- Orthopedics and Sports Medicine top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Physical Therapy, Sports Therapy and Rehabilitation top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- David V. ThielHugo G. EspinosaJonathan ShepherdPeter MilburnAkifumi MatsuoDavid G. LloydClaudio PizzolatoDaniel Devaprakash
- Topics
- Sports Performance and Training (14 papers)Winter Sports Injuries and Performance (6 papers)Non-Invasive Vital Sign Monitoring (5 papers)
- Cited by
- Orthopedics and Sports MedicinePhysical Therapy, Sports Therapy and RehabilitationBiomedical Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of BiomechanicsIEEE Transactions on Biomedical Engineering
- Partner nations
- AustraliaSouth AfricaUnited Kingdom
In The Last Decade
Matthew Worsey
19 papers receiving 242 citations
Peers
Comparison fields: 5 of 60
- Orthopedics and Sports Medicine 147
- Biomedical Engineering 120
- Pulmonary and Respiratory Medicine 44
- Physical Therapy, Sports Therapy and Rehabilitation 36
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Matthew Worsey
This map shows the geographic impact of Matthew Worsey'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 Worsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Worsey more than expected).
Fields of papers citing papers by Matthew Worsey
This network shows the impact of papers produced by Matthew Worsey. 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 Worsey. The network helps show where Matthew Worsey may publish in the future.
Co-authorship network of co-authors of Matthew Worsey
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Worsey. A scholar is included among the top collaborators of Matthew Worsey 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 Worsey. Matthew Worsey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 26 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 77 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 16 | |
| 20 | 22 |
About Matthew Worsey
Matthew Worsey is a scholar working on Orthopedics and Sports Medicine, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering, having authored 22 papers that have together received 249 indexed citations. Recurring topics across this work include Sports Performance and Training (14 papers), Winter Sports Injuries and Performance (6 papers) and Non-Invasive Vital Sign Monitoring (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (147 citations), Physical Therapy, Sports Therapy and Rehabilitation (36 citations) and Biomedical Engineering (120 citations). Matthew Worsey has collaborated with scholars based in Australia, South Africa and United Kingdom. Frequent co-authors include David V. Thiel, Hugo G. Espinosa, Jonathan Shepherd, Peter Milburn, Akifumi Matsuo, David G. Lloyd, Claudio Pizzolato, Daniel Devaprakash, Teodorico Caporaso and Beat H. Meier. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.
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.