Matthew C. Tresch
- Cognitive Neuroscience top 0.5%
- Biomedical Engineering top 0.5%
- Physical Therapy, Sports Therapy and Rehabilitation top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 2%
- Co-authors
- Emilio BizziAndrea d’AvellaPhilippe SaltielVincent C. K. CheungAnthony JarcOle KiehnEric J. PerreaultKatherine M. Steele
- Topics
- Muscle activation and electromyography studies (39 papers)Motor Control and Adaptation (29 papers)Neuroscience and Neural Engineering (12 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationCognitive NeuroscienceBiomedical Engineering
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesItalyCanada
In The Last Decade
Matthew C. Tresch
69 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 3.1k
- Biomedical Engineering 3.0k
- Physical Therapy, Sports Therapy and Rehabilitation 766
- Cellular and Molecular Neuroscience 657
- Social Psychology 522
Countries citing papers authored by Matthew C. Tresch
This map shows the geographic impact of Matthew C. Tresch'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 C. Tresch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Tresch more than expected).
Fields of papers citing papers by Matthew C. Tresch
This network shows the impact of papers produced by Matthew C. Tresch. 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 C. Tresch. The network helps show where Matthew C. Tresch may publish in the future.
Co-authorship network of co-authors of Matthew C. Tresch
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Tresch. A scholar is included among the top collaborators of Matthew C. Tresch 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 C. Tresch. Matthew C. Tresch 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 | 14 | |
| 3 | 33 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 22 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | Matrix Factorization Algorithms for the Identification of Muscle Synergies: Evaluation on Simulated and Experimental Data Setsbreakdown → | 588 |
| 15 | 14 | |
| 16 | 22 | |
| 17 | 130 | |
| 18 | 136 | |
| 19 | 485 | |
| 20 | 10 |
About Matthew C. Tresch
Matthew C. Tresch is a scholar working on Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 4.6k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (39 papers), Motor Control and Adaptation (29 papers) and Neuroscience and Neural Engineering (12 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (766 citations), Cognitive Neuroscience (3.1k citations) and Biomedical Engineering (3.0k citations). Matthew C. Tresch has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Emilio Bizzi, Andrea d’Avella, Philippe Saltiel, Vincent C. K. Cheung, Anthony Jarc, Ole Kiehn, Eric J. Perreault, Katherine M. Steele, Harry M. Sinnamon and John G. Seamon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.